{"pred": "| absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 11", "target": ["1147 Stavropolis is an asteroid that was discovered on June 11, 1929 by Grigory Neujmin. The absolute magnitude of 1147 Stavropolis is 11.5.", "1147 Stavropolis, discovered by Grigory Neujmin on June 11, 1929, has an absolute magnitude of absolute magnitude of 11.5.", "1147 Stavropolis has an absolute magnitude of 11.5. It was discovered on June 11, 1929 by Grigory Neujmin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 1415, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russian-born American mathematician, logician, and philosopher.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nGrigory_Neujmin | birthDate | 1886-01-01 | Russian-born American mathematician, logician, and philosopher.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nGrigory_Neujmin | birthDate | 1886-01-01 | Russian-born American mathematician, logician, and philosopher.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nGrigory_Neujmin | birthDate | 1886-01-01 | Russian-born American mathematician, logician, and philosopher.\nI will verbalize an abstract representation of a sentence in natural language.", "target": ["Grigory Neujmin was born on January 1, 1886.", "Grigory Neujmin birthdate is Jan 1, 1886.", "The birthdate of Grigory Neujmin was 1886-01-01."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGrigory_Neujmin | birthDate | 1886-01-01", "doc_id": 878, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["English is commonly spoken in New Jersey.", "English is the primary language spoken in New Jersey.", "In New Jersey the language spoken is the English language."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNew_Jersey | language | English_language", "doc_id": 494, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | zip | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | state | country | city | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | country | country | city | state | country | country | city | country | state | country | city | country | country | city | state | country | country | city | country | country | city | state | country | country | city | country | state | country | city | country | country | city | state | country | country | city | country | state | country | city | country | country | city | state | country | country", "target": ["The architect of Alan B Miller Hall, at 101 Ukrop Way, Williamsburg, Virginia, USA, is Robert A M Stern. The Mason School of Business are the current occupants of Alan B Miller Hall.", "The Alan B. Miller Hall was designed by Robert A.M. Stern. The current tenant of the Alan B. Miller Hall is the Mason School of Business. The Alan B. Miller Hall is located at \"101 Ukrop Way,\" Williamsburg, Virginia, in the United States.", "Robert A.M. Stern was the designer of Alan B. Miller Hall which is at 101 Ukrop Way. The Mason School of Business are the current tenants of the Hall which is located in Virginia in Williamsburg, USA."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Mason_School_of_Business | country | United_States", "doc_id": 1563, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraqu", "target": ["The full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\". They play in the Campeonato Brasileiro Serie C in 2015 based in Brazil on their ground called the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca. The Vila Nova Futebol Clube are the champions.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and is playing the Campeonato Brasileiro S\u00e9rie C from Brazil (champions: Vila Nova Futebol Clube). They also competed there in 2015. Their home ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, a member of the Brazilian Campeonato Brasileiro S\u00e9rie C league, often plays on the grounds of Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca against their rivals and fellow members of Campeonato Brasileiro S\u00e9rie C, Vila Nova Futebol Clube, the champions of the league. The club also participated in the league in 2015."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 959, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing, Sludge_metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Singing", "target": ["The Year of No Light album Nord is in the post-metal genre which uses synthesizer as an instrument and its also sludge metal genre which includes singing, among other things.", "The genre of the album Nord is post-metal and sludge metal which uses synthesizer and singing respectively ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Post-metal | instrument | Synthesizer, Nord_(Year_of_No_Light_album) | genre | Post-metal, Sludge_metal | instrument | Singing", "doc_id": 782, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | director | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | rating | IMDb | YouTube | Vimeo.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict, It's_Great_to_Be_Young_(1956_film) | director | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | rating | IMDb | YouTube | Vimeo.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicCom", "target": ["It's great to be young is a movie from 1956 that runs for 94 minutes. It stars Cecil Parker and it\u2019s edited by Max Benedict. Louis Levy composed the music.", "The 1956 film \"It's Great to Be Young\" stars Cecil Parker. The movie is 94 minutes and was edited by Max Benedict. Louis Levy composed the music for the film.", "It's Great to be Young is a 94 minute movie released in 1956. It starred Cecil Parker and was edited by Max Benedict. Louis Levy was the musical composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict", "doc_id": 268, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fon", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca is a sports ground which is based in Arapiraca and used by the team Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the 2015 season of the Brazil based Campeonato Brasileiro S\u00e9rie C league. Vila Nova Futebol Clube have been previous champions of the Campeonato Brasileiro S\u00e9rie C league.", "In 2015, Agremia\u00e7\u00e3o Sportiva Arapiraquense, whose ground is the Estadio Municipal Coaracy da Mata Fonseca in Arapiraca, played in the Brazilian-based Campeonato Brasileiro S\u00e9rie C league. Vila Nova Futebol Clube are the champions of Campeonato Brasileiro Serie C.", "The Vila Nova Futebol Clube were champions at the Campeonato Brasileiro Serie C from Brazil. Agremiacao Sportiva Arapiraquense also played there in the 2015 season; their ground is Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 300, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________", "target": ["'Death on a Factory Farm' was produced by Tom Simon.", "Tom Simon produced the film named Death on a Factory Farm.", "Tom Simon is the producer of Death on a Factory Farm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Tom_Simon", "doc_id": 1258, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Fellowship of the Ring is a 1937 American epic fantasy adventure film directed by Peter Jackson and written by Fran Walsh and Philippa Boyens. It is the first film in the The Lord of the Rings film series. The film stars Ian McKellen, Viggo Mortensen, Sean Astin, Cate Blanchett, Hugo Weaving, Elijah Wood, Andy Serkis, and Christopher Lee.\nThe Fellowship of the Ring is a 1937 American epic fantasy adventure film directed by Peter Jackson and written by Fran Walsh and Philippa Boyens. It is the first film in the The Lord of the Rings film series. The film stars Ian McKellen, Viggo Mortensen, Sean Astin, Cate Blanchett, Hugo Weaving, Elijah Wood, Andy Serkis, and Christopher Lee.\nThe Fellowship of the Ring is a 1937 American epic fantasy adventure film directed by Peter Jackson and written by Fran Walsh and Philippa Boyens. It is the first film in the The Lord of the Rings film series. The film stars Ian McKellen, Viggo Mortensen, Sean Astin, Cate Blanchett, Hugo Weaving, Elijah Wood, Andy Serkis, and Christopher Lee.", "target": ["The Fellowship of the Ring was preceded by the Hobbit, which was released on September 21, 1937.", "The Hobbit, was which published on September 21, 1937, came before The Fellowship of the Ring.", "Published on September 21, 1937, The Hobbit precedes The Fellowship of the Ring."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | precededBy | The_Hobbit, The_Hobbit | releaseDate | 1937-09-21", "doc_id": 847, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5,", "target": ["1147 Stavropolis is an asteroid, discovered on 11 June 1929 by Grigory Neujmin. Its absolute magnitude is 11.5, and it has a rotation period of 20378.5. Its periapsis is 260855000000.0, orbital period is 1249.6 and the apoapsis is 418476000000.0 AU.", "1147 Stavropolis, an asteroid with a magnitude of 11.5, was discovered by Grigory Neujmin on June 11, 1929. The asteroid has a periapsis of 260855000000.0 and an apoapsis of 418476000000.0. The orbital period of 1147 Stavropolis is 1249.6 days and the rotation period is 20378.5.", "The asteroid 1147 Stavropolis discovered by Grigory Neujmin on the 11th of June 1929 with a rotation period of 20378.5 has a absolute magnitude of 11.5. With periapsis and apoapsis of 260855000000 and 418476000000.0 respectively, the orbital period of the asteroid 1147 Stavropolis is 1249.6 days."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 1552, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country | France | numberOfPhD Students | 9400, University_of_Burgundy | country", "target": ["The University of Burgundy has 27400 students, of which 9400 are postgraduates. The University is located in Dijon, France, and is a campus university.", "The University of Burgundy in Dijon, France has 27400 students and 9400 of them are postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France", "doc_id": 1159, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.", "target": ["The 58.41 minute Year of No Light album Nord was preceded by Demo 2004.", "Following the release of the Demo 2004 album, the Nord album was released which clocked in at 58 minutes and 41 seconds.", "The Year of No Light album Nord, which has a runtime of is 58.41, followed the band\u2019s previous album Demo 2004."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | runtime | 58.41", "doc_id": 1173, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis", "target": ["1147 Stavropolis (discovered 11 June 1929) is an asteroid with an absolute magnitude of 11.5. The periapsis of 1147 Stavropolis is 260855000000.0 and the apoapsis is 418476000000.0 AU.", "Asteroid 1147 Stavropolis, discovered on June 11th, 1929, has an absolute magnitude of 11.5 and an apoapsis of 418476000000.0, with a periapsis of 260855000000.", "1147 Stavropolis has an absolute magnitude of 11.5, and was discovered on June 11, 1929. It has a periapsis of 260855000000.0 and its apoapsis is 418476000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 486, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27", "target": ["Olga Bondareva was born in Leningrad, USSR and died in Saint Petersburg. Saint Petersburg was founded on May 27, 1703 and is led by a governor.", "Olga Bondareva was born in the USSR in Leningrad and died in Saint Petersburg. Saint Petersburg was founded on May 27th 1703 and the leader of the city is given the title Governor.", "Olga Bondareva was born in Leningrad, part of the USSR. She died in Saint Petersburg which was founded on 1703-05-27 where the leader is called a governor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | leaderTitle | Governor, Olga_Bondareva | birthPlace | Leningrad,_USSR, Saint_Petersburg | foundingDate | 1703-05-27", "doc_id": 375, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| numberOfFaculty | 1,000, University_of_Burgundy | faculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty | 1,000, University_of_Burgundy | country | France | numberOfFaculty", "target": ["The University of Burgundy in Dijon, France has 2900 staff members that educates 16800 undergraduate students and 9400 postgraduate students. The university also has 1299 students enrolled in the doctoral program. 27400 students in total are enrolled at the University of Burgundy.", "The University of Burgundy in Dijon, France has 2900 staff members that educate 16800 undergraduate students, 1299 doctoral students, and 9400 postgraduate students, a total of 27400 student combined.", "The University of Burgundy, located in Dijon, France, has a staff totaling 2,900 members. The University has 27,400 students, including 16,800 undergraduate students, 9,400 post-graduate students, and 1,299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France", "doc_id": 1503, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva", "target": ["Olga Bondareva is known for Bondareva-Shapley theorem, and was given the birth name ''Olga Nikolaevna Bondareva''.", "Olga Bondareva (whose given name is Olga Nikolaevna Bondareva), is known for the Bondareva-Shapley theorem.", "Olga Bondareva, whose birth name was Olga Nikolaevna Bondareva, is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"", "doc_id": 1064, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.", "target": ["The full name of the country Israel is the State of Israel.", "Israel is formally known as the State of Israel.", "Israel's long name is \"State of Israel\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | longName | \"State of Israel\"", "doc_id": 829, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The Velvet Underground | The", "target": ["Bootleg Series Volume 1: The Quine Tapes was created by The Velvet Underground, a proto-punk band.", "The Velvet Underground, a proto-punk band, released the album Bootleg Series Volume 1: The Quine Tapes.", "Proto-punk band, The Velvet Underground recorded the album Bootleg Series Volume 1: The Quine Tapes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, The_Velvet_Underground | genre | Proto-punk", "doc_id": 1214, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe | Pontiac_Rageous | productionStartYear | 1997, Pontiac", "target": ["The Pontiac Rageous coupe went into production in 1997.", "The Pontiac Rageous, first produced in 1997, was a car with a coupe body style.", "The coupe style Pontiac Rageous was first produced in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | bodyStyle | Coupe", "doc_id": 556, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan", "target": ["Alan Shepard who died in California graduated from NWC in 1957 with an M.A.", "Alan Shepard (died in,California),went to school at NWC and graduated with an MA in 1957.", "Alan Shepard graduated from NWC with an M.A. in 1957 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 1419, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_", "target": ["US born Aaron Turner plays electric guitar for the post metal band Twilight.", "American guitarist Aaron Turner is a post-metal musician who played electric guitar with the band Twilight.", "Aaron Turner (from United States) who is a performer of post metal plays the electric guitar in the band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar", "doc_id": 104, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["One of the leaders of Petah Tikva is Itzik Braverman.", "One of the leaders of Petah Tikva was Itzik Braverman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPetah_Tikva | leader | Itzik_Braverman", "doc_id": 484, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located 610 metres above sea level. This airport is operated by ENAIRE and has a runway named 14L/32R, which has a length of 3500.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport, operated by ENAIRE organisation, is elevated 610 metres above sea level and has the runway length of 3500.0. The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport runway name is 14L/32R."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14L/32R\"", "doc_id": 83, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel", "target": ["Columbia Records released Train's song titled, Mermaid, not the Warner Music Group, the groups record label.", "The song Mermaid was written by the band Train, record labelled by Warner Music Group, which is on Columbia Records.", "Mermaid by Train, whose record label is Warner Music Group, was released by Columbia Records.", "The record label Columbia Records released the song Mermaid by the musical band Train. The band Train were signed to the record label Warner Music Group.", "Warner Music Group is Train's record label, but their song Mermaid was released by Columbia Records."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Train_(band) | recordLabel | Warner_Music_Group, Mermaid_(Train_song) | recordLabel | Columbia_Records", "doc_id": 445, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire | German_Empire", "target": ["The founding date of the German Empire was the first of January 1871.", "The founding date of the German Empire is 1871-01-01.", "The German Empire was founded on January 1, 1871."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGerman_Empire | foundingDate | 1871-01-01", "doc_id": 1113, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["1147 Stavropolis discovered on June 11, 1929 by Grigory Neujmin with epoch 31 July 2016 (Julian Day 2457600.5) has an apoapsis of 418476000000.0. With an orbital period of 1249.6 days, 1147 Stavropolis has an absolute magnitude of 11.5.", "On June 11th 1929, Grigory Neujmin discovered asteroid 1147 Stavropolis. The asteroid has an absolute magnitude of 11.5, an orbital period of 1249.6 days, and an apoapsis of 418476000000.0. 1147 Stavropolis epoch is the 31st of July, 2016.", "1147 Stavropolis is an asteroid, discovered by Grigory Neujmin, on 11 June 1929. It has an absolute magnitude of 11.5, an orbital period of 1249.6, an apoapsis of 418476000000.0 AU and an epoch of 31 July 2016 (JD2457600.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5)", "doc_id": 1697, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language", "target": ["The town of Darlington has a population of one hundred and six thousand.", "The total population of Darlington is 106,000 residents.", "Darlington is a city with a population of 106000 people."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarlington | populationTotal | 106000", "doc_id": 1709, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music", "target": ["Expect a Miracle by Brian Kelly is an instrumental album. It is preceded by Pools of Light and followed by Afterplay.", "Expect A Miracle is a genre of instrumental music that was preceded by the Brian Kelly album Pools of Light and followed by the Afterplay album.", "The album Expect a Miracle, an instrumental music album by Brian Kelly, was preceded by the album Pools of Light and followed by the album Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 1321, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| NASA, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard |", "target": ["Alan Shepard was an American who was born on November 18, 1923 in New Hampshire, was awarded the Distinguished Service Medal by the United States Navy,selected by NASA, served as Chief of the Astronaut Office in 1963 and died in California.", "Alan Shepard was an American, born on November 18, 1923 in New Hampshire. He was selected by NASA in 1959, and was the Chief of the Astronaut Office in 1963. The United States Navy awarded him the Distinguished Service Medal. He died in California.", "American Astronaut Alan Shepard was born in New Hampshire on November 18, 1923. He was chosen by NASA in 1959 and became Chief of the Astronaut Office in 1963. He was awarded the Distinguished Service Medal by the US Navy. Shepard died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1429, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise", "target": ["Noise rock is a fusion genre of rock music.", "Noise rock is a fusion genre based on rock music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nRock_music | musicFusionGenre | Noise_rock", "doc_id": 1199, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon_song | musicalBand | Train_(band), Imagine_(John_Lennon_", "target": ["Mermaid, written by the band Train, was followed by the released of their performance of the John Lennon song Imagine. Lennon's recording of the song was followed by Happy Xmas (War is Over).", "The song Imagine by John Lennon followed Mermaid is by the musical band Train. The song Imagine was followed by the release of the song Happy Xmas (War Is Over).", "Musician John Lennon wrote and performed his hit song Imagine followed up with Happy Xmas (War is Over). The musical band Train's song Mermaid is followed by Imagine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over), Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon", "doc_id": 980, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| author of \"The Book of the Dead\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Terence_Rattigan, Terence_Rattigan | birthDate | 1911-01-01 | author of \"The Book of the Dead\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Terence_Rattigan, Terence_Rattigan | birthDate | 1911-01-01 | author of \"The Book of the Dead\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Terence_Rattigan, Terence_Rattigan |", "target": ["Terence Rattigan, who authored \"English Without Tears\", was born on 01/01/1911.", "\"English Without Tears\" was written by Terence Rattigan, who was born on New Years Day of 1911.", "Terence Rattigan, born on 1 January 1911, is the writer of screen play 'English Without Tears'."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Terence_Rattigan, Terence_Rattigan | birthDate | 1911-01-01", "doc_id": 1136, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 12th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | category | \"United States\"\n15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | category | \"United States\"\n16th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 16th_", "target": ["The 11th Mississippi Infantry Monument is placed in the municipality of Gettysburg in Pennsylvania, in Adams County, USA. Adams County has Carroll County, Maryland to its southeast and the 11th Mississippi Infantry Monument is categorized as a Contributing Property.", "The 11th Mississippi Infantry Monument is categorised as a contributing property and stands in Adams County, Pennsylvania in the municipality of Gettysburg in the USA. Carroll County Maryland is southeast of Adams County.", "The 11th Mississippi Infantry Monument's location is Adams County, Pennsylvania, USA, in the municipality of Gettysburg. To the southeast of Adams County, lies Carroll County, Maryland. The 11th Mississippi Infantry Monument is a contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 56, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | country | United_Kingdom, Lady_Anne_Monson | birthDate | year of birth | mother's name | father's name | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | province | country | city | state | country | city | state | province | country | city | state | country | city | state | country | province | country | city | state | country | city | state | country | province | country | city | state | country | city | state | country | country | city | state | country | city | country | country | city | state | country | country | city | state | country | country | city | country | country | city | state | country | country | city | country | country | city | state | country | country | city | country | country | city | state | country | country | city", "target": ["Lady Anne Monson was born in the Kingdom of England in a town called Darlington which is in the UK.", "Lady Anne Monson was born in Darlington, a town within the Kingdom of England, which is now within the UK."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Darlington | country | United_Kingdom, Lady_Anne_Monson | birthPlace | Kingdom_of_England", "doc_id": 518, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | students | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_of_Burgundy | staff | 16800, University_", "target": ["The University of Burgundy has a total of 16800 undergraduate students and 2900 members of staff.", "The University of Burgundy employs 2900 staff members with 16800 undergraduate students.", "The University of Burgundy with 2900 staff members has 16,800 undergraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900", "doc_id": 914, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It", "target": ["The film \"It's Great to Be Young\" starring John Mills was released in 1956. It was directed by Cyril Frankel and music was composed by Louis Levy. Cinematography is taken care by Gilbert Taylor, and duration of the film is 94 minutes. The film collected 282,838 pounds.", "Cyril Frankel directed the 1956 film It's Great to Be Young starring John Mills. Louis Levy composed music for this 94 minute movie which had Gilbert Taylor as its cinematographer and costed \u00a3282,838.", "It\u2019s Great to Be Young is a 1956 film starring John Mills and directed by Cyril Frankel. It lasts 94 minutes, and it grossed \u00a3282,838. The film\u2019s cinematographer was Gilbert Taylor, and music was written by Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 1161, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | age | nationality | religion | occupation | education | occupation | profession | occupation | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession |", "target": ["Nurhan Atasoy's date of birth is January 1, 1934.", "Nurhan Atasoy was born on 1 January 1934.", "Nurhan Atasoy's birth date is 1934-01-01."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01", "doc_id": 387, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff |", "target": ["Abraham A. Ribicoff was born and died in the United States of America. His wife is called Casey Ribicoff.", "Abraham A Ribicoff was born and died in the United States and his wife is Casey Ribicoff.", "Abraham A. Ribicoff was born and died in the United States. During his life he was married to Casey Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 294, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agrem", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense's ground is Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca. The team played in the Brazilian Campeonato Brasileiro S\u00e9rie C league and competed in the 2015 season of that league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense is the ground for Est\u00e1dio Municipal Coaracy da Mata Fonseca. Est\u00e1dio Municipal Coaracy da Mata Fonseca from Arapiraca and their team Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league from Brazil competed in the 2015 Campeonato Brasileiro S\u00e9rie C.", "Agremiacao Sportiva Arapiraquense play at a stadium based in Arapiraca whose name is the Estadio Municipal Coaracy da Mata Fonseca. The team play in the Brazilian based Campeonato Brasileiro S\u00e9rie C league and featured there in 2015."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1319, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_Mukherjee | India | Pranab_M", "target": ["Pranab Mukherjee was a leader of India.", "The leader of India is Pranab Mukherjee.", "Pranab Mukherjee is the leader of India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | leader | Pranab_Mukherjee", "doc_id": 153, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th", "target": ["Adams County, Pennsylvania has Cumberland County, Pennsylvania to its north. In Adams County stands the 11th Mississippi Infantry Monument, which was established in the year 2000. The monument falls under the category of contributing property.", "The location of the 11th Mississippi Infantry Monument, established in 2000, is Adams County, Pennsylvania which has Cumberland county, Pennsylvania to its north. The 11th Mississippi Infantry Monument is categorized as a Contributing Property.", "Pennsylvania's Cumberland County is to the north of the Adams County, Pennsylvania where the the 11th Mississippi Infantry Monument is located. The monument is categorised as a contributing property and was erected in 2000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 432, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recordedIn | San_Francisco, California, USA, 1966, by The Velvet Underground, Bootleg Series Volume 1: The Quine_Tapes | recorded", "target": ["The Quine Tapes was preceded by Squeeze by The Velvet Underground which was recorded in San Francisco and fits into the Rock music genre.", "Bootleg Series Volume 1: The Quine Tapes in rock genre preceded by the Velvet Underground album Squeeze was recorded in San Francisco.", "The rock album Bootleg Series Volume I: The Quine Tapes was recorded in San Francisco prior to the album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 1620, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala | isPartOf | Morelos, Mexico | Ciudad_Ayala |", "target": ["Ciudad Ayala is in Morelos and is led by the Governator.", "In Ciudad Ayala, which is a part of Morelos, the leader is called the governator.", "In Ciudad Ayala, which is part of Morelos, the leader is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | isPartOf | Morelos", "doc_id": 1631, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city | city", "target": ["Tokat is located in Turkey.", "Tokat is located in the country of Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTokat | country | Turkey", "doc_id": 797, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John Frankenheimer and starring James Stewart, Jean Arthur, and John Payne. The film was based on the novel of the same name by James Thurber.\nThe film was released on December 19, 1956, and was a box office success. It was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was a critical and commercial success, and was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was a critical and commercial success, and was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was a critical and commercial success, and was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was a critical and commercial success, and was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was a critical and commercial success, and was nominated for the Academy Award for Best Picture, but lost to The Best Years of Our Lives.\nThe film was", "target": ["The duration of the film 'It's great to be young', from 1956, is 94 minutes.", "The running time of the movie It's Great to be Young is 94 minutes.", "The length of 1956's film \"It's Great to Be Young\" is 94 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0", "doc_id": 1180, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_", "target": ["The 11th Mississippi Infantry Monument, established in the year 2000, is located in Adams County Pennsylvania which is east of Franklin County Pennsylvania.", "To the east of Franklin County, Pennsylvania is Adams County, Pennsylvania where the 11th Mississippi Infantry Monument was established in 2000.", "Pennsylvania's Franklin County is found to the west of Adams County, the location of the 11th Mississippi Infantry Monument, erected in 2000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania", "doc_id": 1011, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Instrumental_music, Expect_a_Miracle | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument | instrument", "target": ["Expect a Miracle, an instrumental music genre album with a runtime of 54:56, was preceded by Pools of Light by Brian Kelly and then followed by the album Afterplay.", "Preceded by the album Pools of Light and followed by Brian Kelly's Afterplay, Brian Kelly's album Expect a Miracle (of the instrumental music genre) has a runtime of 54.56 minutes.", "Expect a Miracle is instrumental music created by Brian Kelly. With a runtime of 54.56, Expect a Miracle is preceded by Kelly's album Pools of Light, and it is followed by Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 227, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_Francisco | Ed_Lee (politician) | San_", "target": ["One of San Francisco's leaders is politician Ed Lee.", "The leader of San Francisco is the politician named Ed Lee.", "Ed Lee, the politician, is a leader in San Francisco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSan_Francisco | leader | Ed_Lee_(politician)", "doc_id": 523, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_cheese, Cottage_", "target": ["Bionico, a food found in Mexico, can be varied by using cottage cheese.", "Bionico, a food found in Mexico, can be varied using cottage cheese.", "Bionico can be varied by using cottage cheese found in Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | country | Mexico, Bionico | dishVariation | Cottage_cheese", "doc_id": 713, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_B", "target": ["The University of Burgundy hosts 27400 students at its campus in Dijon, France. France has a unitary state government.", "Dijon is located in France, a country with a unitary state form of government. The University of Burgundy with its 27400 students is located in Dijon.", "The campus of the University of Burgundy has 27400 students and resides in Dijon, which is located in the unitary state of France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDijon | country | France, France | governmentType | Unitary_state, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon", "doc_id": 964, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Broadcast_programming, Lionsgate | service | Digital_distribution, Lionsgate | service | Digital_distribution, Lionsgate | service | Digital_distribution, Lionsgate | service | Digital_distribution, Lionsgate | service | Digital_distribution", "target": ["Super Capers is a film distributed by Roadside Attractions, with digital distribution and broadcast programming service provided by Lionsgate.", "Lionsgate, the distributor of Super Capers offers broadcast programming and digital distribution services. The movie was also distributed by Roadside Attractions.", "Super Capers was distributed by Lionsgate and Roadside Attractions. Lionsgate is a programming service and distributor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Roadside_Attractions, Lionsgate | service | Digital_distribution, Super_Capers | distributor | Lionsgate, Lionsgate | service | Broadcast_programming", "doc_id": 1359, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 17", "target": ["Lady Anne Monson married George Monson was a British national but resided in India for most of her life. She died on February 18th, 1776.", "Lady Anne Monson who died on February 18, 1776, was married to George Monson. While her residence was in India, her nationality was with the Kingdom of England.", "Lady Anne Monson was married to George Monson and was an English who resided in India. She died on 1776-02-18."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 478, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer |", "target": ["McVeagh of the South Seas (IMDb id 0004319) was written by Harry Carey, born in 1878, who also had a role in the film. McVeagh of the South Seas was produced by the Progressive Motion Picture Company and distributed by the Alliance Films Corporation.", "Harry Carey, born in 1878, wrote and starred in McVeagh of the South Seas which was produced by the Progressive Motion Picture Company. The movie was registered in IMDb with the ID 0004319 and distributed by Alliance Films Corporation.", "The film McVeagh of the South Seas was written by and starred the actor Harry Carey, who was born in 1878. The film was produced by the Progressive Motion Picture Company and distributed by Alliance Films Corporation. The film can be found in IMDb under the ID 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation", "doc_id": 561, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["The record labels of the Year of No Light album Nord's in post-metal genre are Crucial Blast and E-Vinyl.", "The album entitled Nord in the post-metal genre by the group Year of No Light was released on the Crucial Blast label recorded by label E-Vinyl.", "Nord is an album in the post metal genre by Year of No Light called Nord which was released by the record label Crucial blast and it was released on the E-Vinyl record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl", "doc_id": 662, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | California_37_(Train_album), Imagine_(John_Lennon_", "target": ["The Train song Mermaid, from the California 37 album, is followed by the John Lennon song Imagine from the Imagine album.", "The song Mermaid by Train on Train's \"California 37\" album was followed by the release of Imagine by John Lennon performed by Train on the album also named Imagine.", "The song Mermaid is off the album California 37 by the band Train, followed by Mermaid, and belongs to the album Imagine by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | album | California_37_(Train_album), Imagine_(John_Lennon_song) | album | Imagine_(John_Lennon_album)", "doc_id": 1596, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_H", "target": ["Nie Haisheng (born on October 13,1964) was part of Shenzhou 10 mission and took part in the Shenzhou 6 mission. He is from the People's Republic of China.", "Nie Haisheng was born on 10/13/1964, and he is a citizen of the People's Republic of China. He took part in the Shenzhou 10 mission and was a crew member on Shenzhou 6.", "Nie Haisheng was born on the 13th of October, 1964 and from the People\u2019s Republic of China. Haisheng was part of the Shenzhou 10 mission and also took part in the Shenzhou 6 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 1116, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | producer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | producer | John_Byrne, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | cast |", "target": ["The 1956 film 'It's great to be young', directed by Cyril Frankel, is 94 minutes long. The music was composed by Louis Levy, while the writer is Ted Willis.", "The 1956 film, \u201cIt\u2019s Great to Be Young,\u201ddirected by Cyril Frankel, is 94 minutes long. It was written by Ted Willis with music composed by Louis Levy.", "The 94-minutes movie It's Great to Be Young (1956) was directed by Cyril Frankel, written by Ted Willis, and composed by Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 600, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Qu", "target": ["The Bootleg Series Volume I: The Quine Tapes is being produced by The Velvet Underground after being recorded under the Universal Musical Group record label, and finally being released by the Polydor Records label.", "Bootleg Series Volume 1: The Quine Tapes, produced by The Velvet Underground and recorded through Polydor Records, was released by the Universal Music Group record label.", "The producer of the album Bootleg Series Volume 1: The Quine Tapes (recorded under the Polydor Records label on Universal Music Group) was the Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 1666, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", California, U.S.\nJustin Whalin is a writer, editor, and teacher. He is the author of the novels The Last of the Mohicans and The Last of the Mohicans: A Novel of the American Revolution, and the nonfiction book The Last of the Mohicans: A History of the American Revolution. He is also the editor of the anthology The Last of the Mohicans: A New History of the American Revolution. He lives in New York City.\nThe Last of the Mohicans: A Novel of the American Revolution.\nThe Last of the Mohicans: A History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History of the American Revolution.\nThe Last of the Mohicans: A New History", "target": ["Justin Whalin was born in San Francisco.", "Justin Whalin is born in San Francisco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJustin_Whalin | birthPlace | San_Francisco", "doc_id": 1501, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Abraham_A._Ribicoff | spouse | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"", "target": ["Casey Ribicoff is the spouse of Abraham A. Ribicoff, a former US Secretary of Health, Education, and Welfare.", "Casey Ribicoff is the wife of Abraham A. Ribicoff, the US secretary of Health, Education, and Welfare.", "Casey Ribicoff is the wife of Abraham A Ribicoff, who worked as the United States Secretary of Health, Education and Welfare."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"", "doc_id": 629, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | hobbies | interests | religion | family | pets | interests | books | movies | music | TV | movies | music | books | movies | music | books | movies | music | movies | music | books | movies | music | movies | music | books | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music |", "target": ["Liselotte Grschebina was an Israeli who attended the school of Applied Arts in Stuttgart and was born in the German Empire. One of the official languages of Israel Is Modern Standard Arabic and has a total area of 20,769 square kilometers.", "Liselotte Grschebina was born in the German Empire, did her studies at the School of Applied Arts in Stuttgart and is an Israeli national. Israel has a total area of 20,769 square kilometers and one of the official languages of Israel Is Modern Standard Arabic.", "Liselotte Grschebina studied at the School of Applied Arts in Stuttgart, was born within the German Empire, and has Israeli nationality. Israel's official language is Modern Standard Arabic and the total area of Israel is 20769100000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Israel | areaTotal | 20769100000.0, Israel | officialLanguage | Modern_Standard_Arabic, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart", "doc_id": 763, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400,", "target": ["There are 9400 postgraduate students attending the University of Burgundy in France.", "The University of Burgundy in France has 9400 postgraduate students.", "The University of Burgundy in France has 9400 post-graduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France", "doc_id": 1461, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Directed by: Mike Mills | Starring: Michael Shannon, John Hawkes, and Laura Dern.\nThe film is about a man who is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship with a woman. The man is a factory worker and is in a relationship", "target": ["Death on a Factory Farm was released by HBO.", "Death on a Factory Farm is a film broadcasted by HBO.", "The Death on a Factory Farm was broadcasted by HBO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | broadcastedBy | HBO", "doc_id": 224, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_band) | The_Honeymoon_Killers (American_", "target": ["The album Turn Me On is by the American band The Honeymoon Killers.", "The album by the Honeymoon Killers is titled Turn Me On.", "The artist of the Turn Me On album is the Honeymoon Killers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band)", "doc_id": 664, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of the state of Morelos, Mexico.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a verb. The subject is the person or thing that is doing the action. The verb is the action that is being done.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a verb. The subject is the person or thing that is doing the action. The verb is the action that is being done.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a verb. The subject is the person or thing that is doing the action. The verb is the action that is being done.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a verb. The subject is the person or thing that is doing the action. The verb is the action that is being done.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a verb. The subject is the person or thing that is doing the action. The verb is the action that is being done.\nThe sentence is a simple sentence. It is a", "target": ["One of the leaders of the state of Morelos is the Governor.", "Morelos is led by the Governor.", "The title of the leader of Morelos is Governor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMorelos | leaderTitle | Governor", "doc_id": 1510, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C-17 Globemaster III | C", "target": ["Al Asad Airbase is operated by the United States Air Force which has a Boeing C-17 Globemaster III transport aircraft.", "The United States Air Force is the operating organisation for Al Asad airbase and its transport aircraft is the Boeing C-17 Globemaster III.", "The United States Air Force has a Boeing C-17 Globemaster III transport aircraft and operates Al Asad Airbase."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | operatingOrganisation | United_States_Air_Force, United_States_Air_Force | transportAircraft | Boeing_C-17_Globemaster_III", "doc_id": 357, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Commonwealth University, Richmond, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia Commonwealth University, Richmond, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia Commonwealth University, Richmond, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text", "target": ["The Mason School of Business currently occupies Alan B. Miller Hall located in Virginia, the building was designed by Robert A.M. Stern.", "In Virginia, one can find the Mason School of Business located in Alan B Miller Hall that was designed by Robert A M Stern.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located in Virginia and constructed by Robert A.M. Stern."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia", "doc_id": 565, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Abraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | office | \"Governor of Connecticut\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | office | \"Governor of Connecticut\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | office | \"Governor of Connecticut\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | office |", "target": ["Abraham A. Ribicoff was married to Ruth Ribicoff and was the governor of Connecticut. He was born in the USA where African Americans are an ethnic group.", "The spouse of Abraham A. Ribicoff, who was Governor of Connecticut, was Ruth Ribicoff. Abraham was born in the USA where African Americans are an ethnic group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | office | \"Governor of Connecticut\"", "doc_id": 1693, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish", "target": ["Nurhan Atasoy (born in Resadiye, Turkey) is of Turkish nationality. Turkey has an area of 783,356 square kilometers.", "Nurhan Atasoy, a Turkish national, was born in Re\u015fadiye, Turkey. The total area of Turkey is 783,356 sq/km.", "Nurhan Atasoy was born in Resadiye, Turkey. In total Atasoy's Turkey has an area total of 783,356 kilometers squared."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Re\u015fadiye | country | Turkey, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1329, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_Grschebina | birthDate | 18-04-1908, Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_Grschebina | birthDate | 18-04-1908, Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 18-04-1908, Liselotte_", "target": ["Liselotte Grschebina, who died in Israel, was born in Karlsruhe on May 2nd, 1908.", "Liselotte Grschebina was born on May 2, 1908 in Karlsruhe and died in Israel.", "Liselotte Grschebina was born in Karlsruhe on May 2nd, 1908, and died in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel", "doc_id": 399, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "berg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lindberg, Espen Lind", "target": ["Train's hit Mermaid written by Espen Lind was put out by the Sony Music Entertainment record label.", "The song Mermaid by the band Train written by Espen Lind is on the Sony Music Entertainment record label.", "The song \"Mermaid\" by Train was originally written by Espen Lind and released under the record label of Sony Music Entertainment."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | writer | Espen_Lind", "doc_id": 1565, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy", "target": ["Bananaman was a BBC TV series which was created by Steve Bright and was last aired in 15/04/1983. The broadcaster who broadcast the show is based at Broadcasting House in London.", "Steve Bright creation Bananaman was broadcast by the BBC and last aired on 15/04/1983. The broadcaster responsible, the BBC, are based at Broadcasting House in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC", "doc_id": 1696, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 11", "target": ["Grigory Neujmin discovered 1147 Stavropolis on June 11th, 1929. It has an apoapsis of 418476000000.0 and an absolute magnitude of 11.5.", "On June 11, 1929, Grigory Neujmin discovered the asteroid 1147 Stavropolis. It has an apoapsis of 418476000000.0 and an absolute magnitude of 11.5.", "Grigory Neujmin discovered the asteroid 1147 Stavropolis on June 11, 1929. It has an absolute magnitude of 11.5 with 418476000000.0 AU."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 254, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | ethnicity | height | weight | education | occupation | occupation_title | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation_name | occupation", "target": ["Lady Anne Monson, a British national was born on January 1, 1726 in Darlington, in the Kingdom of England. She died on February 18th, 1776.", "Lady Anne Monson of English nationality who was born in Darlington on January 1, 1726, died on 1776-02-18.", "Lady Anne Monson was born in Darlington, England on January 1, 1726 and died on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 1710, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Russia | Education | B.A.\nAnatole_de_Grunwald is a student at the University of St. Petersburg. He is majoring in English and is a member of the University of St. Petersburg's English Club. He is also a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's English Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a member of the University of St. Petersburg's Russian Club. He is a", "target": ["Anatole de Grunwald was born in Saint Petersburg.", "The birthplace of Anatole de Grunwald is Saint Petersburg.", "Anatole de Grunwald's birthplace is Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAnatole_de_Grunwald | birthPlace | Saint_Petersburg", "doc_id": 1724, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon, Dijon | France | Dijon", "target": ["The University of Burgundy (located in the city of Dijon) has 27400 students. Dijon's elevation is 245.0 above sea level.", "The city of Dijon, at 245 above sea level, is home to the University of Burgundy and its 27400 students.", "The University of Burgundy, which has 27400 students, is located in Dijon and is 245.0 above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | city | Dijon, Dijon | elevationAboveTheSeaLevel | 245.0", "doc_id": 1357, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dent", "target": ["Darinka Dentcheva (United States citizen) with birthdate as January 1, 1958 studied at Humboldt University. Her theory was influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva, a United States citizen who was born on January 1st, 1958 had Humboldt University as her alma mater. He was influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva was born on 1st January 1958 and was the citizen of the United States. She attended Humboldt University and was influenced by Andrzej Piotr Ruszczynski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 292, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", U.S.A.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence", "target": ["The city of Detroit is in Wayne County, Michigan.", "Detroit is part of Wayne County, Michigan.", "The city of Detroit is located in Wayne County, Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDetroit | isPartOf | Wayne_County,_Michigan", "doc_id": 552, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | country | \"United States\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | country | \"United States\"\n15th_Mississippi_Infantry_Monument | established | 2000, 15th_Mississippi_Infantry_Monument | country | \"United States\"\n16th_Mississippi_Infantry_Monument | established | 2000, 16th_Mississippi_Infantry_Monument | country | \"United States\"\n17th_Mississippi_Infantry_Monument | established | 2000, 17th_Mississippi_Infantry_Monument | country | \"United States\"\n18th_Mississippi_Infantry_Monument | established | 2000, 18th_Mississippi_Infantry_", "target": ["The 11th Mississippi Infantry Monument was established in Adams County, Pennsylvania, the United States in 2000.", "The 11th Mississippi Infantry Monument was established in 2000 in the location of Infantry Monument is Adams County, Pennsylvania which is located in the United States.", "The 11th Mississippi Infantry Monument, in Adams County, Pennsylvania, USA, was established in the year 2000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 184, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound | draftRound |", "target": ["Debuting with the Tennessee Titans, Akeem Ayers draft round was 2.", "Akeem Ayers, who made his debut for the Tennessee Titans, was in draft round 2.", "Akeem Ayers was in draft round 2 and made his debut for the Tennessee Titans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAkeem_Ayers | draftRound | \"2\", Akeem_Ayers | debutTeam | Tennessee_Titans", "doc_id": 1600, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000", "target": ["The ALCO RS-3 which has 12 cylinders, was produced between May 1950 and August 1956 by the American Locomotive Company.", "The ALCO RS-3, built by the American Locomotive Company between May 1950 and August 1956, has a cylinder count of 12.", "The 12 cylinder ALCO RS-3 was produced between May 1950 and August 1956 by the American Locomotive Company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | American_Locomotive_Company, ALCO_RS-3 | cylinderCount | 12", "doc_id": 1094, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| is a song by American singer-songwriter Taylor Swift. It was released on November 10, 2012, as the second single from her fourth studio album, Red. The song was written by Swift, Max Martin, Shellback, and Shellback, and produced by Shellback.\nThe song was released as a digital download on November 10, 2012, and as a physical CD on November 11, 2012. It was also released as a digital download on November 11, 2012, and as a physical CD on November 12, 2012.\nThe song was released as a digital download on November 10, 2012, and as a physical CD on November 11, 2012. It was also released as a digital download on November 11, 2012, and as a physical CD on November 12, 2012.\nThe song was released as a digital download on November 10, 2012, and as a physical CD on November 11, 2012. It was also released as a digital download on November 11, 2012, and as a physical CD on November 12, 2012.\nThe song was released as a digital download on November 10, 2012, and as a physical CD on November 11, 2012. It was also released as a digital download on November 11, 2012,", "target": ["The album Let It Breed is preceded by the release of the album Love American Style.", "The album Let It Breed was preceded by the release of the Love American Style album.", "Let it Breed was preceded by the album Love American Style."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLet_It_Breed | precededBy | Love_American_Style_(album)", "doc_id": 1392, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["With 17000 members, Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league, of which Vila Nova Futebol Clube have been champions.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense is a club of 17000 members in the Campeonato Brasileiro S\u00e9rie C league along with the Vila Nova Futebol Clube.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league. The club currently has 17000 members. The Vila Nova Futebol Clube were champions of the league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 63, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The album Turn Me On, followed by Take it Off!, was preceded by the album Let it Breed.", "The album Turn Me On was preceded by the album Let It Breed and followed by the Take it Off album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | followedBy | Take_It_Off!", "doc_id": 526, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | education, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grsche", "target": ["Liselotte Grschebina was born in the German Empire, her nationality is Israeli and she attended the school of Applied Arts in Stuttgart.", "Liselotte Grschebina was born within the German Empire and is an Israeli national. Grschebina attended the school of Applied Arts in Stuttgart.", "Liselotte Grschebina was born in the German Empire, is an Israeli national and did her studies at the School of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart", "doc_id": 380, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stadium | Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | stadium | Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | stadium | Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | stadium | Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy", "target": ["The team Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Brazilian-based Campeonato Brasileiro S\u00e9rie C league. With 17000 members, Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Estadio Municipal Coaracy da Mata Fonseca grounds.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league in Brazil. The club currently has 17000 members.Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of the team.", "Agremiacao Sportiva Arapiraquense has 17000 members and play in the Campeonato Brasileiro Serie C league from Brazil. Their ground's name is Estadio Municipal Coaracy da Mata Fonseca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1402, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-metal | musicSubgenre | Southern_sludge, Post-", "target": ["The album Nord by Year of No Light is sludge metal and post metal genre. Southern sludge and Stoner sludge are subgenres of sludge metal.", "The genre of the album Nord is sludge metal and post metal. Southern sludge and Stoner sludge are both subgenres of sludge metal.", "The album Nord by Year of No Light falls under the post-metal genre and the sludge metal genre. Sludge metal includes the subgenres southern sludge and stoner sludge."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Sludge_metal | musicSubgenre | Southern_sludge, Sludge_metal | musicSubgenre | Stoner_sludge, Nord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 455, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| directed by | John_Mills | screenplay by | John_Mills | music by | John_Mills | produced by | John_Mills | released | distributed by | Warner Bros.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills | directed by | John_Mills | screenplay by | John_Mills | music by | John_Mills | produced by | John_Mills | released | distributed by | Warner Bros.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills | directed by | John_Mills | screenplay by | John_Mills | music by | John_Mills | produced by | John_Mills | released | distributed by | Warner Bros.", "target": ["John Mills is playing the lead in the movie It's Great to Be Young, which was released in 1956.", "It's Great to Be Young is a 1956 film starring John Mills.", "John Mills had a main role in the movie It's Great to Be Young."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills", "doc_id": 1769, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| timezone | UTC | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | state | country | city | country | city | state | country | country | city | state | country | country | city | state | country | city | country | country | city | state | country | country | city | state | country | country | city | country | state | country | city | country | country | city | state | country | country | city | country | city | state |", "target": ["San Francisco's area code is 628.", "The area code of San Francisco is 628.", "628 is an area code in San Francisco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSan_Francisco | areaCode | 628", "doc_id": 1384, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | genre | Instrumental, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Instrumental, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Instrumental, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a", "target": ["Expect a Miracle is an instrumental song recorded by Brian Kelly. This easy listening song has a runtime of 54:56 and was followed by Afterplay, also by Brian Kelly.", "Brian Kelly wrote the easy listening genre, \"Expect a Miracle\" that last for 54.56 minutes. Its instrumental music that was followed by the album Afterplay.", "Composer and pianist, Brian Kelly, created the album titled, Expect a Miracle, which is an easy listening instrumental album with a run time of 54.56 and followed his album titled Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album), Expect_a_Miracle | genre | Easy_listening", "doc_id": 465, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | fantasy (genre), The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit, The_Fellowship_of_the_Ring | publisher | George_Allen_", "target": ["George Allen & Unwin published the Fellowship of the Ring. The Fellowship of the Ring belongs to the fantasy literary genre and was followed by The Two Towers. The Fellowship author is J.R.R Tolkien, and it was released on July 29, 1954. But the Hobbit came before The Fellowship of the Ring.", "The Fellowship of the Ring was a novel written by J.R.R. Tolkien that was released on July 29, 1954 and was published by George Allen & Unwin. The novel is in the fantasy genre and was preceded by the Hobbit and followed by The Two Towers.", "Fellowship of the Ring, written by J.R.R. Tolkien, was published July 29, 1954 by George Allen & Unwin. The fantasy novel falls chronologically after The Hobbit, and before The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 882, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John_C.\nIt's_Great_to_Be_Young is a", "target": ["Louis Levy is the music composer for the film \"It\"s great to Be Young\".", "Louis Levy is the music composer of It's Great to Be Young (1956 film).", "It's Great to Be Young's music was composed by Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 1310, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city | London, UK | broadcastedBy | BBC, BBC | city", "target": ["Bananaman starring Bill Oddie is broadcast by the BBC, which is located in London.", "The BBC, which is located in London, broadcasted Bananaman which starred Billie Oddie.", "Bananaman the TV series starring Bill Oddie was shown on the BBC and BBC is located in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | starring | Bill_Oddie, Bananaman | broadcastedBy | BBC, BBC | city | London", "doc_id": 288, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Philippines | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chinabank | type | Public_company, Chin", "target": ["Chinabank is a publicly traded company located in the Philippines with 295 locations.", "Chinabank, with locations in the Philippines, is a publicly traded company with 295 banking centers.", "Chinabank, a public company, is located in the Philippines and has 295 branches."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | numberOfLocations | 295, Chinabank | type | Public_company, Chinabank | location | Philippines", "doc_id": 1265, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African", "target": ["In the United States, one of the national ethnic groups are the African Americans. The United States is where Abraham A. Ribicoff, who was married to Casey Ribicoff, died.", "In the USA, where African Americans are a national ethnic group, Casey Ribicoff and Abraham A. Ribicoff were married and Abraham later died there.", "Abraham Ribicoff died in the United States where African Americans are a national ethnic group. He was married to Casey Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | deathPlace | United_States, United_States | ethnicGroup | African_Americans", "doc_id": 128, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Music_stream | Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music_video, Music", "target": ["The Train song Mermaid (a song on Train's \"California 37\" album) was written by Espen Lind and Amund Bj\u00f8rklund.Train followed Mermaid with Imagine, a song by John Lennon but was produced by the Espionage production team in the digital format.", "The song performed by the band, Train, titled Mermaid, was written by Espen Lind and Amund Bjorklund and procured by Espionage. Mermaid was from Train's album California 37 and was distributed in a digital format. The song, Mermaid, was followed by the realease of the cover song, Imagine which was originally by John Lennon.", "The song Mermaid by the band Train was produced by Espionage and written by Espen Lind and Amund Bjorklund. Mermaid is on the album California 37 which was distributed digitally and also includes John Lennon's song Imagine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | album | California_37_(Train_album), Mermaid_(Train_song) | format | Music_download", "doc_id": 771, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (mill", "target": ["The ALCO RS-3, with a four-stroke engine and 12 cylinders, has a length of 17068.8 millimetres.", "The four-stroke 12 cylinder ALCO RS-3 is 17068.8 millimetres long.", "The ALCO RS-3 has a four-stroke engine and a cylinder count of 12 which is 17068.8 mm in length."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 51, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | mission | Shenzhou_7, Nie_Haisheng | mission | Shenzhou_8, Nie_Haisheng | mission | Shenzhou_9, Nie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_11, Nie_Haisheng | mission | Shenzhou_12, Nie_Haisheng | mission | Shenzhou_13, Nie_Haisheng | mission | Shenzhou_14, Nie_Haisheng | mission | Shenzhou_15, Nie_Haisheng | mission | Shenzhou_16, Nie_Haisheng | mission | Shenzhou_17, Nie_Haisheng | mission | Shenzhou_18, Nie_Haisheng | mission | Shenzhou_19, Nie_Haisheng | mission | Shenzhou_20, Nie_Haisheng | mission | Shenzhou_21, Nie_Haisheng | mission | Shenzhou_22, Nie_Haisheng | mission | Shenzhou_23, Nie_Haisheng | mission | Shenzhou", "target": ["The birthplace of Nie Haisheng is Hubei, Zaoyang. He was part of the mission Shenzhou 10 and took part in the Shenzhou 6 mission as well.", "Nie Haisheng was born in Zaoyang and Hubei. Nie Haisheng was part of the Shenzhou 10 mission and Shenzhou 6 mission.", "Nie Haisheng was born in Zaoyang in the Hubei Province and took part in the Shenzhou 6 and Shenzhou 10 missions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6", "doc_id": 856, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Russia | age | height | weight | net worth | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music |", "target": ["English Without Tears producer Anatole de Grunwald was born in Saint Petersburg.", "Anatole de Grunwald, the producer of English Without Tears, was born in Saint Petersburg.", "Anatole de Grunwald, who was born in Saint Petersburg, was the producer of \"English Without Tears.\""], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, Anatole_de_Grunwald | birthPlace | Saint_Petersburg", "doc_id": 1689, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car | car", "target": ["The Pontiac company manufactures automobiles.", "Pontiac makes automobiles.", "Pontiac produces automobiles."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac | product | Automobile", "doc_id": 1579, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| CEO | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter_Ogden | Peter", "target": ["MotorSport Vision is the operating organisation for Bedford Aerodrome in Thurleigh (postal code: MK44). It was founded by Peter Ogden.", "Peter Ogden is the founder of MotorSport Vision which operates the Bedford Aerodrome in Thurleigh, whose postal code is MK44.", "The Bedford Aerodrome is located in Thurleigh, which has the postal code of MK44. The aerodrome has an operating organization that is called the MotorSport Vision which was founded by Peter Ogden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden", "doc_id": 802, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr.,", "target": ["Super Capers is a 98 minute film starring Tom Lister Jr. Directed and written by Ray Griggs, he only made $30,955 from the film.", "Super Capers is a 98 minute film directed by Ray Griggs and starring Tom Lister Jr. The movie made $30,955.", "Super Capers, starring Tom Lister Jr. was written by Ray Griggs. The film is 98 minutes long and made $30955.0 at the box office."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | writer | Ray_Griggs_(director), Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | gross | 30955.0", "doc_id": 902, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_Me_On_(album) | genre | rock, Turn_", "target": ["The album Turn Me On, a punk blues and noise rock genre, is by the American band The Honeymoon Killers and has a runtime of 35 minutes 10 seconds.", "Honeymoon Killers album, Turn Me On (runtime of 35.1 minutes), falls into two genres, Punk blues and Noise rock.", "The album Turn Me On by Honeymoon Killers with run time 35.1 minutes is punk blues and noise rock genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | genre | Noise_rock", "doc_id": 1665, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time", "target": ["Ciudad Ayala is in the country of Mexico and is in the Pacific Daylight time which is in the Pacific Standard Time Zone.", "Ciudad Ayala is a Mexican city located in the Pacific Standard Daylight time zone.", "Ciudad Ayala located in the country of Mexico uses the Pacific Standard Time Zone and Pacific Daylight Time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | country | Mexico, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 1778, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Darinka Dentcheva's residence is in New Jersey.", "Darinka Dentcheva resides in New Jersey.", "Darinka Dentcheva has a residence in the state of New Jersey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | New_Jersey", "doc_id": 390, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nI will verbalize an abstract representation of a sentence in natural language. To do", "target": ["\"English Without Tears\", which was written by Anatole de Grunwald, has a running time of 89 minutes.", "Anatole de Grunwald wrote the film English without Tears which has a running time of 89 minutes.", "Written by Anatole de Grunwald, the film English Without Tears is 89 minutes in duration."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0", "doc_id": 1224, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel", "target": ["Petah Tikva is a city in Israel.", "Petah Tikva is in Israel.", "Petah Tikva is in the country of Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPetah_Tikva | country | Israel", "doc_id": 987, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality |", "target": ["Liselotte Grschebina was an Israeli who was born on May 2nd, 1908 in the German Empire.", "Liselotte Grschebina was born in the German Empire on May 2nd, 1908. She is an Israeli national.", "Liselotte Grschebina was of Israeli nationality and was born in the German Empire on May 2nd, 1908."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 1255, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity | General_relativity", "target": ["Brandon Carter is a professional in the field of general relativity.", "General Relativity is Brandon Carter's professional field.", "Brandon Carter is a physicist whose professional field was on General Relativity."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity", "doc_id": 97, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Abraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | nationality | American, Abraham", "target": ["Abraham A. Ribicoff was born in the USA and worked there as the United States Secretary of Health, Education, and Welfare. He was an American citizen whose wife was called Ruth Ribicoff.", "Abraham A. Ribicoff, whose spouse is Ruth Ribicoff, is an American citizen and was born in the USA. He worked for the United States Secretary of Health, Education, and Welfare office.", "Abraham A. Ribicoff, an American born in the United States, worked as the United States Secretary of Health, Education and Welfare and his spouse is Ruth Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"", "doc_id": 1721, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | nationality | religion | education | profession | occupation | hobbies | interests | family | hobbies | interests | hobbies | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family |", "target": ["Nurhan Atasoy, a Turkish national residing in Istanbul was born on 1934-01-01 in Turkey.", "Nurhan Atasoy was born on January 1, 1934 in Turkey. He is a citizen of Turkey and one of his residence is located in Istanbul.", "Nurhan Atasoy (born in Turkey on January 1, 1934) is a Turkish citizen who resides in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 1352, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013", "target": ["Adolfo Su\u00e1rez Madrid-Barajas Airport in Alcobendas has an elevation of 610.0 metres above sea level and has a runway length of 4,349. It is operated by ENAIRE, which is in the city of Madrid.", "ENAIRE, based in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport which is in Alcobendas. The airport has a runway that is 4349 metres long and it is 610 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 1186, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online_Game | Online", "target": ["GMA New Media's main product is online games.", "GMA New Media produces online games.", "GMA New Media makes online games.", "GMA New Media is a company that offers online games products."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | product | Online_Game", "doc_id": 915, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music", "target": ["John Mills had a main role in the 94 minute movie It's Great to Be Young which took 282838 pounds at the box office. Louis Levy composed the music for the movie which had Gilbert Taylor as the cinematographer.", "The 1956 film \u201c It's Great to Be Young\u201d cost \u00a3282,838 to produce and is 94 minutes in length. Louis Levy composed music for the film and Gilbert Taylor did the cinematography. The movie stars John Mills.", "It's Great to Be Young, the 94-minute, 1956 film, received \u00a3282,838. The lead was played by John Mills, and the music was composed by Louis Levy. Gilbert Taylor was responsible for the cinematography."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 1124, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common words in the Portuguese language.\nThe following is a list of the most common", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense's full name is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" and they play in the Campeonato Brasileiro S\u00e9rie C league, which Vila Nova Futebol Clube have been champions of.", "Agremiacao Sportiva Arapiraquense, play in the Campeonato Brasileiro Serie C league, which the Vila Nova Futebol Clube were champions of.", "The full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense, and they play in the Campeonato Brasileiro S\u00e9rie C league, which the Vila Nova Futebol Clube are champions of."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 791, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_ayala | city_manager_ciudad_", "target": ["Ciudad Ayala population in the metropolitan area is 1777539 and the leader title is City Manager. The government type in the city of Ciudad Ayala is council-manager.", "The population of the metropolitan are of Ciudad Ayala is 1,777,539. It uses a type of government called council-manager government and one of the leaders of Ciudad Ayala is the City manager.", "The government type of Ciudad Ayala is the council-manager government, one of the leaders is the city manager and the population of the metropolitan area is 1,777,539."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | governmentType | Council-manager_government", "doc_id": 737, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre)", "target": ["The Fellowship of the Ring belongs to the fantasy genre.", "Fantasy is The Fellowship of the Ring's genre.", "The Fellowship of the Ring belongs to the fantasy literary genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre)", "doc_id": 127, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | course | Dessert, Mexico | leader | Silvano_Aureoles_", "target": ["Bionico is a dish served for dessert in Mexico. Silvano Aureoles Conejo is one of the leaders in Mexico.", "Silvano Aureoles Conejo is the leader of Mexico where you can find the fantastic dessert they call Bionico.", "Bionico (a dessert) is a food found in Mexico led by Silvano Aureoles Conejo."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico", "doc_id": 1346, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Bionico (served at the dessert course) is a food made with granola found in Mexico. The currency in Mexico is the peso inhabited by the Mexicans. Cookie is a type of dessert.", "People from Mexico are called Mexicans, and they use the Mexican peso currency to purchase dessert dishes like cookies and Bionico. Bionico is a dish found in Mexico that is composed of granola, a Mexican ingredient."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | ingredient | Granola, Dessert | dishVariation | Cookie, Bionico | country | Mexico", "doc_id": 870, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All_India_Council_for_Technical_Education | location | Bangalore | Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_", "target": ["The Acharya Institute of Technology is located in the state of Karnataka, its director is Dr. G.P. Prabhukumar and it is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education is located in Mumbai and gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, in Karnataka state. The director of the Institute is Dr. G. P. Prabhukumar. The Institute is affiliated with the Visvesvaraya Technological University. It was given the status of Technical Campus by All India Council for Technical Education, which is located in Mumbai.", "The Acharya Institute of Technology is based in the state of Karnataka, the institute\u2019s director is Dr. G. P. Prabhukumar and it is affiliated with the Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address of the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 767, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStart", "target": ["Aaron Turner a Black metal musician in the Lotus Eaters band started performing in 1995.", "Aaron Turner, a musician from the Lotus Eaters band who started performing in 1995, plays black metal music.", "Aaron Turner is a musician in the Black Metal band, Lotus Eaters, who began performing in 1995."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 744, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | album_title | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist | album_artist", "target": ["Year of No Light is a band whose members include a former guitarist for Monarch has created an album called Nord.", "Nord is an album by Year of No Light, which is associated with the band Monarch."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Year_of_No_Light | associatedBand/associatedMusicalArtist | Monarch_(band)", "doc_id": 67, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden | MotorSport", "target": ["Peter Ogden was the founder of MotorSport Vision which operates the Bedford Aerodrome.", "MotorSport Vision which was founded by Peter Ogden is the operating organisation for Bedford Aerodrome.", "The Bedford Aerodrome has an operating organization called MotorSport Vision, which was founded by Peter Ogden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden", "doc_id": 208, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish_language | Turkish", "target": ["The Turkish language is the official language of Turkey.", "Turkey's official language is Turkish."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | officialLanguage | Turkish_language", "doc_id": 1694, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "target": ["Adams County, Pennsylvania boasts the 11th Mississippi Infantry Monument which is in the municipality of Gettysburg. The monument is categorised as a contributing property. Carroll county in Maryland is southeast of Adams County, Pennsylvania.", "The location of the 11th Mississippi Infantry Monument is Adams County, Pennsylvania, in the municipality of Gettysburg and it is categorized as a contributing Property. Adams County has Carroll County, Maryland to its southeast.", "11th Mississippi Infantry Monument's is located in Adams County, Pennsylvania, in the municipality of Gettysburg, Pennsylvania. Southeast of Adams County, Pennsylvania lies Carroll County, Maryland. The 11th Mississippi Infantry Monument falls under the category of Contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 404, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_", "target": ["Expect a Miracle is a compilation album that is 54.56 minutes long. Brian Kelly wrote and produced it. The album was preceded by Pools of Light, by Brian Kelly.", "Brian Kelly recorded and produced Expect a Miracle, which is a compilation album that has a runtime of 54:56. It was preceded by Pools of Light, also by Brian Kelly.", "Expect a Miracle, a compilation album with runtime of 54.56 was created and produced by composer & pianist Brian Kelly. It was preceded by the album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 811, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete |", "target": ["The Bedford Aerodrome serves the Bedford Autodrome and is 83.2104 meters above sea level. The ICAO location identifier for the aerodrome is EGBF and its concrete surfaced runway is named 08/26.", "The Bedford Aerodrome served the Bedford Autodrome and its International Civil Aviation Organization (ICAO) identifier is EGBF. The Bedford Aerodrome is at an elevation of 83.2104 above sea level and has a runway, which is made out of concrete, called 08/26."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 971, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| hobbies | interests | education | family | religion | politics | music | movies | books | TV | travel | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music | movies | books | music", "target": ["Nie Haisheng who was born in Hubei, previously worked as a fighter pilot.", "Nie Haisheng, a fighter pilot, is from Hubei province.", "Nie Haisheng, a former fighter pilot, was born in Hubei."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei, Nie_Haisheng | occupation | Fighter_pilot", "doc_id": 1536, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante \"\", Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and has the nickname Asa Gigante. They play in the Campeonato Brasileiro S\u00e9rie C league from Brazil, whose champions are Vila Nova Futebol Clube. The Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense and is located in Arapiraca.", "Agremiacao Sportiva Arapiraquense's (nicknamed Asa Gigante) ground is the Estadio Municipal Coaracy da Mata Fonseca (located in Arapiraca) & has 17000 members. Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league, but Vila Nova Futebol Clube in Brazil are the champions of Campeonato Brasileiro Serie C.", "Asa Gigante is the nickname of the Agremia\u00e7\u00e3o Sportiva Arapiraquense, which has 17000 members. They play in the Campeonato Brasileiro S\u00e9rie C league from Brazil where Vila Nova Futebol Clube have been champions. The Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense and it is located in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante ''\", Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 529, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_Unwin, The_Two_Towers | publisher | George_Allen_&_", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien, followed by the sequel, The Two Towers, published by George Allen & Unwin.", "J.R.R. Tolkien is the author of The Fellowship of the Ring and The Two Towers, which was published George Allen and Unwin.", "The author of The Fellowship of the Ring is J.R.R. Tolkien. It was followed by The Two Towers, published by George Allen & Unwin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Two_Towers | publisher | George_Allen_&_Unwin", "doc_id": 1505, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | airport | runway | terminal | departure | arrival | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | departure | airport | departure | airport | departure | airport | departure | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure | airport | departure |", "target": ["Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is elevated 610 metres above sea level and is operated by ENAIRE. The airport is located at San Sebastian de los Reyes. The runway length at Adolfo Suarez Madrid-Barajas airport is 3500.0.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in San Sebasti\u00e1n de los Reyes , operated by ENAIRE has an elevation of 610.0 metres above sea level and has runway length of 3,500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in San Sebasti\u00e1n de los Reyes and is operated by ENAIRE. The airport has a runway length of 3500 and is 610.0 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | San_Sebasti\u00e1n_de_los_Reyes", "doc_id": 970, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 1,000mm | weight | 1,000kg | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO_RS-3 | engine | 4, ALCO", "target": ["The American Locomotive Company built the ALCO RS-3, which was produced May 1950 and August 1956. It has a cylinder count of 12 and is 17068.8 millimetres in length.", "The ALCO RS-3, which was made between May 1950 and August 1956 by the American Locomotive Company, has a cylinder count of 12 and is 17068.8 millimetres long.", "The 17068.8-millimetre-long 12-cylinder ALCO RS-3 was produced by the American Locomotive Company between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | American_Locomotive_Company, ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 994, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagn", "target": ["The apoapsis of 1147 Stavropolis is 418476000000.0 and the absolute magnitude is 11.5.", "1147 Stavropolis apoapsis is 418476000000.0, and its absolute magnitude is 11.5.", "1147 Stavropolis absolute magnitude is 11.5, and the apoapsis of the 1147 Stavropolis asteroid is 418476000000.0 AU."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 758, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_", "target": ["Super Capers is a 98 minute movie starring Michael Rooker and Tom Sizemore. Stacy Katzman edited Super Capers which was filmed in English.", "Super Capers, a film starring Tom Sizemore and Michael Rooker, is 98 minutes long. In charge of editing was Stacy Katzman, and the film is in English.", "Super Capers is an English-language film starring Tom Sizemore and featuring Michael Rooker. The 98-minute film was edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | runtime | 98.0", "doc_id": 1072, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Bootleg Series Volume 1: The Quine Tapes was preceded by the album Squeeze.", "The Bootleg Series Volume I: The Quine Tapes is preceded by the Velvet Underground album Squeeze.", "Bootleg Series Volume 1: The Quine Tapes was preceded by Squeeze by The Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album)", "doc_id": 1351, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | genre | Reggae, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund", "target": ["The Train song Mermaid, which is an example of the reggae genre, was released under the record labels of Columbia Records and Sony Music Entertainment. It was written by Espen Lind and Amund Bj\u00f8rklund and has a total runtime of 3 minutes and 16 seconds.", "Amund Bjorklund and Espen Lind are writers of the 3.16 minute reggae song Mermaid by Train that was released under Sony Music Entertainment and Columbia Records.", "The song Mermaid was written In the reggae music genre by Espen Lind and Amund Bjorklund The song was performed by Train and released by Columbia Records and Sony Music Entertainment records. It has a total runtime of three minutes and sixteen seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund", "doc_id": 31, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural", "target": ["The campus of the University of Burgundy is located in Dijon and has 1299 doctoral students.", "The University of Burgundy campus is located in Dijon and has 1299 doctoral students.", "The University of Burgundy in Dijon has 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon", "doc_id": 1504, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synthesizer | Synt", "target": ["Post-metal music includes synthesizers among the instruments it uses.", "Post metal uses a synthesizer as an instrument.", "The synthesizer is an instrument of post-metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPost-metal | instrument | Synthesizer", "doc_id": 364, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | education | University of Connecticut, Abraham_A._Ribicoff | hobbies | music | movies | books | travel | religion | politics | philosophy | science | sports | technology | T.V.\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | birthPlace | Connecticut, Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | education | University of Connecticut, Abraham_A._Ribicoff | hobbies | music | movies | books | travel | religion | politics | philosophy | science | sports | technology | T.V.\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F", "target": ["Abraham A. Ribicoff\u2019s spouse was Ruth Ribicoff and he was an American citizen who was born in Connecticut. Abraham A. Ribicoff was in office while John F. Kennedy was president and preceded John N. Dempsey in the office.", "Abraham A. Ribicoff\u2019s spouse was Ruth Ribicoff and his successor was John N. Dempsey. Abraham was in office during the John F. Kennedy presidency. Abraham A. Ribicoff was American and was born in Connecticut.", "John N Dempsey succeeded American citizen Abraham A Ribicoff in his role. Abraham A. Ribicoff was born in Connecticut and therefore was an American citizen. His wife was Ruth Ribicoff and Abraham was in office at the same time that John F. Kennedy was president."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | birthPlace | Connecticut", "doc_id": 200, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["The total area of the United States is around 9.8 million square kilometers.", "United States total area is 9833520000000 square kilometers.", "The total area of the United States is 9833520000000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | areaTotal | 9833520000000.0", "doc_id": 1649, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Fantasy (genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGen", "target": ["George Allen & Unwin published a Fantasy novel, The Fellowship of the Ring, written by J.R.R. Tolkien.", "The Fellowship of the Ring, a fantasy novel by J.R.R. Tolkien, was published by George Allen & Unwin.", "J.R.R. Tolkien wrote fantasy literary genre book The Fellowship of the Ring published by George Allen & Unwin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 1435, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Ban", "target": ["The creator of Bananaman, first shown on 10/03/1983, was Steve Bright and it was broadcast by the BBC. The BBC is located in the Broadcasting House.", "Steve Bright created Bananaman which first aired on the BBC on 3rd October, 1983. The BBC are located at Broadcasting House in London.", "Bananaman the TV series was shown on the BBC first aired on the 3rd of October, 1983 and was created by Steve Bright. The BBC headquarter is called Broadcasting House."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 869, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya", "target": ["The Acharya Institute of Technology has been given the status of Technical Campus by All India Council for Technical Education, which is located in Mumbai. The Institute's director is Dr. G. P. Prabhukumar. It is affiliated with Visvesvaraya Technological University and has about 700 post graduate students. The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology has around 700 post graduate students, its director is Dr. G. P. Prabhukumar and is affiliated with the Visvesvaraya Technological University. The institute was given 'Technical Campus' status by the All India Council for Technical Education which is based in the city of Mumbai. The address of the institute\u2019s campus is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology, directed by Dr. G. Prabhukumar, affiliated with Visvesvaraya Technological University and located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India, has about 700 post-graduate students and was given the Technical Campus status by the All India Council for Technical Education, based in Mumbai."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700", "doc_id": 769, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Beach, VA | Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_", "target": ["The Mason School of Business is located at the Alan B. Miller Hall in Virginia at 101 Ukrop Way. The architect of the building was Robert A M Stern and the building completion date was 01/06/2007.", "The address of Alan B. Miller Hall is 101 Ukrop Way, Virginia and the hall is currently tenanted by The Mason School of Business. The hall was designed by Robert A.M. Stern and was completed on June 1st, 2009.", "Alan B. Miller Hall, which was designed by Robert A.M. Stern is in the State of Virginia, at 101 Ukrop Way. The building was finished on 01/06/2009 and is currently tenanted by The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia", "doc_id": 700, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Age: 23.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Nurhan Atasoy's birthplace is Turkey.", "The place where Nurhan Atasoy was born is Turkey.", "Nurhan Atasoy was born in Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Turkey", "doc_id": 1775, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Mexicans are people from Mexico, which is a country from the Guadalajara region that is led by Silvano Aureoles Conejo. The Mexican peso is the currency used to buy such dishes as Bionico, a dessert found in Mexico that contains raisins,.", "Bionico is a dessert containing raisins that can be found in Guadalajara, Mexico, which is inhabited by Mexicans and uses pesos as their currency and is led by Silvano Aureoles Conejo.", "Bionico is a dessert food containing raisins, found in Guadalajara, in Mexico. Mexico is inhabited by Mexicans and headed by Silvano Aureoles Conejo. The currency of Mexico is the Peso."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | ingredient | Raisin, Bionico | country | Mexico", "doc_id": 1100, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Andrzej_Piotr_Ruszczy\u0144ski | born in 1958 in Warsaw, Poland | Polish | father | mother | nationality | religion | education | profession | hobbies | interests | family | children | siblings | spouse | children | grandchildren | pets | books | movies | music | TV | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art |", "target": ["Darinka Dentcheva, born January 1st of 1958, was influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva, who was born on January 1, 1958, was influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva was born on January 1, 1958 and she went onto develop a theory influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | birthDate | 1958-01-01", "doc_id": 413, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nTurn_Me_On_(album) | genre | noise | punk | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise |", "target": ["Punk blues is the genre of the album Turn Me On that was self-produced by the American band Honeymoon Killers. Noise rock is the genre of the album Turn Me On as well that has run time of 35.1 minutes which was preceded by the album Let It Breed.", "Turn Me On, a punk blues/noise rock album, was produced by The Honeymoon Killers, who also produced the album Let It Breed. Turn Me On is 35 minutes 10 seconds in length."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | runtime | 35.1", "doc_id": 1761, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".", "target": ["'English Without Tears' was written by Terence Rattigan.", "\"English Without Tears\" was written by Terence Rattigan.", "Terence Rattigan is the writer of English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Terence_Rattigan", "doc_id": 1044, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | state | Karnataka | India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 56", "target": ["The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090 in the state of Karnataka, and it's affiliated to Visvesvaraya Technological University.", "The Acharya Institute of Technology, which is affiliated with the Visvesvaraya Technological University, is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090 in the state of Karnataka.", "The Acharya Institute of Technology, which is affiliated with Visvesvaraya Technological University, is located in Karnataka at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1102, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina, who was born on the second of May 1908, died in June of 1994 in Petah Tikvah, Israel.", "Liselotte Grschebina (born May 2, 1908) died in Petah Tikva, Israel on June 14, 1994.", "Liselotte Grschebina was born on May 2, 1908 and died on June 14, 1994 in Petah Tikva, Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Petah_Tikva, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel", "doc_id": 1642, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathYear | director | producer | screenwriter | cinematographer | editor | composer | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music", "target": ["Cecil Parker, born in 1897, stars in the 1956 film It's Great to be Young.", "Cecil Parker, who was born in 1897, starred in the 1956 movie It's Great to Be Young.", "It's Great to Be Young starred Cecil Parker, who was born in 1897."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, Cecil_Parker | birthYear | 1897", "doc_id": 1386, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala", "target": ["Ciudad Ayala is a city with a metropolitan area of 1,777,539 which uses a council-manager type government employing a City Manager as one of the leaders.", "Ciudad Ayala city had City manager as one of the leaders, has council-manager government with population of 1,777,539.", "Ciudad Ayala is a city, whose government type is council manager, and the city leader title is city manager. Its population in the metropolitan area is 1777539."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | governmentType | Council-manager_government", "doc_id": 1114, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | writer | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer | director | producer | actor | director | producer | director | producer | actor | director | producer | actor | director | producer", "target": ["Harold French is a film director.", "Harold French served as a film director.", "Harold French was a film director."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHarold_French | occupation | Film_director", "doc_id": 1601, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_", "target": ["The campus of the Acharya Institute of Technology, directed by Dr.G. Prabhukumar and affiliated with the Belgaum-located Visvesvaraya Technological University, may be found at at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India. It was given 'Technical Campus' status by the All India Council for Technical Education of Mumbai.", "The All India Council for Technical Education of Mumbai has designated the Acharya Institute of Technology, located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, directed by by Dr. G.P. Prabhukumar and affiliated with the Visvesvaraya Technological University in the city of Belgaum, as a Technical Campus.", "The Acharya Institute of Technology is affiliated with Visvesvaraya Technological University in Belgaum. Dr. G. P. Prabhukumar is the Institute's director. All India Council for Technical Education, located in Mumbai, gave the Institute the status of Technical Campus. The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Visvesvaraya_Technological_University | city | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 691, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedfordshire, England, United Kingdom.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["MotorSport Vision operates the Bedford Aerodrome located in Thurleigh.", "MotorSport Vision is the operating organisation for Bedford Aerodrome which is located in Thurleigh.", "The Bedford Aerodrome is located in Thurleigh and has an operating organization that is called the MotorSport Vision."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | location | Thurleigh", "doc_id": 890, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, Cambridge, UK | professor | University of Cambridge, UK | professor | University of Cambridge, UK | professor | University", "target": ["Brandon Carter born in England attended University of Cambridge whose vice chancellor is Leszek Borysiewicz.", "Brandon Carter was born in England and graduated from the University of Cambridge where the current Chancellor is Leszek Borysiewicz."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | birthPlace | England, Brandon_Carter | almaMater | University_of_Cambridge, University_of_Cambridge | viceChancellor | Leszek_Borysiewicz", "doc_id": 1715, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | education | B.A.\nNie_Haisheng | mission | Shenzhou", "target": ["Born in Zaoyang, Hubei, Nie Haisheng participated in the Shenzhou 10 mission.", "Nie Haisheng born in Zaoyang, Hubei Province took part in the Shenzhou 10 mission.", "Nie Haisheng was born in Zaoyang, Hubei and he was part of Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | mission | Shenzhou_10", "doc_id": 659, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | dateOfRetirement | \"1974-08-01\",", "target": ["Alan Shepard was born in New Hampshire, retired in August 1st,1974 and he died in California.", "Alan Shepard's birth place was New Hampshire. He retired on the 1st of August 1974, and he died in California.", "New Hampshire native Alan Shepard died in California after retiring on August 1, 1974."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 1151, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle | runtime | 54.56 sec.\nExpect_a_Miracle", "target": ["Expect a Miracle has a runtime of 54:56.", "Expect a Miracle's runtime is 54.56.", "Expect a Miracle has a runtime of 54.56 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | runtime | 54.56", "doc_id": 1441, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, England, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, England, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, England", "target": ["Alan Shepard, born in New Hampshire on Nov 18, 1923, died in California.", "Alan Shepard was born in New Hampshire on November 18, 1923, but died in California.", "Alan Shepard, born November 18th, 1923 in New Hampshire, later died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 1397, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthPlace |", "target": ["Alan Shepard was born and died in the United States. His 1923 birthplace was New Hampshire and the place of his 1998 death was California.", "Alan Shepard was born on November 18, 1923 in New Hampshire and died on July 21st, 1998 in California. Alan Shepard\u2019s nationality is the United States.", "Alan Shepard is an American that was born on November 18, 1923 in New Hampshire and later died in California on July 21, 1998."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 332, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"Airbase\"\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a", "target": ["Al Asad Airbase is operated by United States Air Force and is located in Al Anbar Province, Iraq.", "The United States Air Force is the operating organisation for Al Asad airbase, which is located at Al Anbar Province, Iraq.", "The Al Asad Airbase is in Al Anbar Province, Iraq and is run by the United States Air Force."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | location | \"Al Anbar Province, Iraq\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force", "doc_id": 137, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density", "target": ["Ciudad Ayala is a city with population density of 1604.0 and the population of the metropolitan area is 1,777,539. One of the leaders of Ciudad Ayala is the City Manager.", "Ciudad Ayala is a city with a population density of 1604.0, a metropolitan population of 1,777,539, and has a city manager as one of its leaders.", "Ciudad Ayala is a city with a population density of 1604, a metropolitan population of 1777539 and has a leader title of City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 922, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_N", "target": ["Distinguished Service Medal (US Navy) recipient Alan Shepard was born in New Hampshire but died in California.", "Awarded the Distinguished Service Medal by The United States Navy, Alan Shepard, was born in New Hampshire, and died in California.", "Alan Shepard, born in New Hampshire while having died in California, was awarded the Distinguished Service Medal by the United States Navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 22, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaM", "target": ["American national Alan Shepard was born in New Hampshire in November of 1923 and died in California in July of 1998. He was educated at NWC and graduated in 1957 with an MA.", "Alan Shepard was born on November 18, 1923, in New Hampshire, U.S.A. He was a graduate of NWC, earning an M.A. in 1957. Shepard died on July 12, 1998, in California.", "Alan Shepard was born November 18, 1923, in New Hampshire, U.S.A. He graduated from NWC, earning his M.A. in 1957. Shepard died in California on July 21, 1998."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 978, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["John Mills died in 2005."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | deathYear | 2005", "doc_id": 257, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC | Bananaman | broadcastedBy | BBC", "target": ["Bill Oddie stars in a BBC programme called Bananaman. the BBC are based at Broadcasting House in London.", "Bill Oddie starred in Bananaman which was broadcast by the BBC who are based in the Broadcasting House, London.", "Bananaman the TV series starred by Bill Oddie was shown on the BBC and the BBC headquarters is called Broadcasting House."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | broadcastedBy | BBC", "doc_id": 1569, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3% | %OfAreaWater | 1.3", "target": ["The percentage of Turkey's area that is water is 1.3 percent.", "Turkey has an area water percentage of 1.3.", "1.3 percent of the area of Turkey is water."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | percentageOfAreaWater | 1.3", "doc_id": 729, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationD", "target": ["Ciudad Ayala which is in the Pacific Daylight time zone has the population density of 1604.", "Ciudad Ayala city which has a PDT time zone has a population density of 1604.0.", "Ciudad Ayala's time zone is Pacific Daylight Time and its population density is 1604.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 45, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker,", "target": ["Both Michael Rooker and Tom Sizemore starred in Super Capers which was edited by Stacy Katzman.", "The film Super Capers starred Tom Sizemore and Michael Rooker and was edited by Stacy Katzman.", "Stacy Katzman edited Super Capers starring Michael Rooker and Tom Sizemore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore", "doc_id": 1243, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music, Instrumental_music", "target": ["The Expect a Miracle album which is of the instrumental music genre is followed by the album Afterplay.", "Expect a Miracle, in the instrumental music genre, was followed by Afterplay by Brian Kelly.", "Expect a Miracle an instrumental music genre , was followed by Brian Kelly's Afterplay album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 1105, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| children | mother | father | siblings | age | height | weight | education | occupation | hobbies | interests | favorite books | favorite movies | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies", "target": ["Lady Anne Monson was born on January 1, 1726 in the kingdom of England, where she lived and held British nationality. Lady Anne Monson\u2019s spouse is George Monson.", "Lady Anne Monson born in 1726 on January 1 in England and her nationality is English and her spouse name is George Monson.", "Lady Anne Monson, a British citizen, was born in England on the 1st of January 1726. She later married George Monson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | spouse | George_Monson", "doc_id": 496, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_Bartz, Death_on_a_Factory_Farm | director | Geof_", "target": ["Death on a Factory Farm is an HBO Film directed and produced by Tom Simon. Geof Bartz is the editor.", "Death on a Factory Farm is an HBO film directed, produced, and edited by Geof Bartz and Tom Simon.", "Tom Simon directed and produced the film \u2018Death on a Factory Farm\u2019, which was broadcasted by HBO. Geof Bartz on the other hand edited the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz", "doc_id": 1553, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["The language of the movie Super Capers is English.", "Super Capers is a movie in English.", "Super Capers is an English-language film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | language | English_language", "doc_id": 1307, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | GMA_Network (company) | G", "target": ["GMA New Media, Inc. is a subsidiary of GMA Network.", "GMA Network is the parent company of GMA New Media.", "The parent company of GMA New Media is the GMA Network.", "GMA New Media is a branch of the GMA Network company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | parentCompany | GMA_Network_(company)", "doc_id": 975, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_song | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John Lennon | John", "target": ["\"Imagine\" is a song by musical artist, John Lennon.", "Musician John Lennon wrote and performed the song Imagine.", "The song Imagine belongs to the musician John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | musicalArtist | John_Lennon", "doc_id": 676, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_", "target": ["The album Expect a miracle is of the easy instrumental Listening music genre.", "The album Expect a Miracle fits into the genres of instrumental as well as easy listening music.", "Expect a Miracle is an instrumental easy listening album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening", "doc_id": 416, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Adolfo Suarez Madrid-Barajas airport is located at Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas. This airport is operated by ENAIRE and has a runway length of 3500.", "Adolfo Suarez Madrid-Barajas Airport, operated by ENAIRE, is located in Madrid, Paracuellos de Jarama, San Sebastian de los Reyes and Alcobendas. Its runway length is 3500.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport can be found in Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas. It has a runway length 3,500 and is operated by ENAIRE."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | \"Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas\"", "doc_id": 739, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator | Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator | Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator | Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala", "target": ["Ciudad Ayala is a city that falls into UTC offset -6 time zone and has a population density of 1604.0. The leader in Ciudad Ayala is called the governator.", "Ciudad Ayala is a city that has a population density of 1604 and a UTC offset of -6. Ciudad Ayala has a leader called the Governator.", "Ciudad Ayala is a city with a UTC offset of -6. The population density of Ciudad Ayala in 1604.0 and the leader of this population is called a governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator", "doc_id": 1297, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | bharathidasan.edu.in | contact | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail.com | m.p.prabhukumar@gmail", "target": ["Acharya Institute of Technology in Bangalore is affiliated to Visvesvaraya Technological University and has as its director Dr. G. P. Prabhukumar.", "Dr. G. P. Prabhukumar is the director of Bangalore\u2019s Acharya Institute of Technology which has an affiliation with the Visvesvaraya Technological University.", "Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology which is affiliated with Visvesvaraya Technological University that located in the city of Bangalore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore", "doc_id": 904, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Michael_Rooker, Super_", "target": ["Director Ray Griggs, born in 1974, is the writer of the film Super Capers, starring Michael Rooker and Tom Sizemore.", "Super Capers was directed by Ray Griggs who was born in 1974. The movie stars are Michael Rooker and Tom Sizemore.", "Super Capers was written and directed by Ray Griggs who was born in 1974. The movie stars Michael Rooker and Tom Sizemore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | writer | Ray_Griggs_(director), Ray_Griggs_(director) | birthYear | 1974, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore", "doc_id": 183, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard", "target": ["Alan Shepard was born on November 18th, 1923 in New Hampshire, United states and died in California.", "Alan Shepard was an American born in New Hampshire on Nov 18, 1923. He died in California.", "Alan Shepard was an American who was born on November 18, 1923 in New Hampshire and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 1380, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Saint Petersburg, where Olga Bondareva died, was founded on May 27, 1703.", "Olga Bondareva died in Saint Petersburg, a city founded on 1703-05-27.", "Olga Bondareva died on the Russian city of St Petersburg, which was founded on the 27th May 1703."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27", "doc_id": 1014, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts | United_States | president | John_Roberts", "target": ["Darinka Dentcheva is a citizen of the United States, the country where John Roberts is one of the leaders.", "Darinka Dentcheva is a citizen of the United States, where John Roberts serves as one of the countries leaders.", "John Roberts is a leader in the United States, where Darinka Dentcheva is a citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, United_States | leader | John_Roberts", "doc_id": 431, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Israel, Liselotte_Grschebina | deathDate | age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age, age", "target": ["Liselotte Grschebina was born in Karlsruhe, but died in Israel.", "Liselotte Grschebina was born in Karlsruhe and died in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel", "doc_id": 1196, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | artist | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | Punk_", "target": ["The total length of the Turn Me On punk blues album by the American band The Honeymoon Killers is 35 minutes 10 seconds.", "The runtime of the album Turn Me On is 35.1 minutes, with Punk blues as the genre of the album and the artist of the Turn Me On album is the Honeymoon Killers.", "Turn Me On is a punk blues album by the Honeymoon Killers which runs 35.1 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues", "doc_id": 341, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editing | music | sound | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects | sound effects | sound design | sound effects | sound effects | sound effects", "target": ["Anatole de Grunwald's English Without tears cinematography was done by Bernard Knowles.", "Bernard Knowles was the cinematographer of the film English Without Tears, written by Anatole de Grunwald.", "Bernard Knowles is the cinematographer of the movie English Without Tears which was written by Anatole de Grunwald."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 972, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Russia | birthDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_Bondareva | deathDate | 1703-05-27, Olga_", "target": ["Olga Bondareva's alma matter was Leningrad State University, however she died not in Leningrad, but rather in the city of Saint Petersburg. Saint Petersburg was founded May 27, 1703.", "Saint Petersburg, founded on May 27, 1703, is the resting place of Leningrad State University alumna Olga Bondareva.", "Olga Bondareva graduated from Leningrad State University and died in Saint Petersburg. Saint Petersburg was founded on May 27, 1703."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | almaMater | Leningrad_State_University, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg", "doc_id": 339, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | director | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_", "target": ["Featuring Cecil Parker as a main role, It's Great to Be Young was edited by Max Benedict. The composer of music for the film was Louis Levy.", "\u201cIt's Great to Be Young\u201d is a 1956 movie edited by Max Benedict. The movie stars Cecil Parker, and includes music by Louis Levy.", "Cecil Parker starred in the 1956 movie It's Great to Be Young, which was edited by Max Benedict, with Louis Levy as the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict", "doc_id": 1740, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey | leaderTitle | Mayor of Istanbul, Turkey | residence | Istanbul, Turkey", "target": ["Nurhan Atasoy lives in Istanbul where one of the leaders is titled Mayor.", "Nurhan Atasoy lives in Istanbul, where the leader is called a Mayor.", "Nurhan Atasoy once lived in Istanbul, where the Mayor is the leader."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Istanbul | leaderTitle | Mayor", "doc_id": 1347, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | Zip | City | State | City | State | Zip | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State", "target": ["Ciudad Ayala is a city."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City", "doc_id": 337, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_Erdo\u011fan, Turkey | President | Recep Tayyip_", "target": ["Nurhan Atasoy was born in Turkey. Binali Y\u0131ld\u0131r\u0131m was former Prime Minister of Turkey under current president Recep Tayyip Erdo\u011fan.", "Turkey, led by Recep Tayyip Erdo\u011fan and Binali Yildirim, is where Nurhan Atasoy was born .", "Nurhan Atasoy was born in Turkey where the current leaders include Recep Tayyip Erdo\u011fan and Binali Yildirim."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Turkey, Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m", "doc_id": 260, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | altitude | latitude | longitude | timezone | UTC+2:00.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is", "target": ["Operated by Enaire, the Adolfo Suarez Madrid-Barajas airport is based in the Alcobendas area of the Spanish city of Madrid. It is situated 610 metres above sea level.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in Alcobendas and has an elevation of 610.0 metres above sea level. It is operated by ENAIRE, based in Madrid, Spain.", "Adolfo Suarez Madrid-Barajas Airport in Alcobendas is operated by ENAIRE which is based in Madrid, Spain. The airport has an elevation of 610 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Madrid | country | Spain", "doc_id": 417, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "m | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway | length of runway |", "target": ["Al Asad Airbase has a runway length of 3,992.88 and is run by the United States Air Force.", "The operating organisation for Al Asad airbase, which has a runway length of 3992.88, is the United States Air Force.", "Al Asad Airbase is operated by the United States Air Force and has a runway length of 3,992.88."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | operatingOrganisation | United_States_Air_Force, Al_Asad_Airbase | runwayLength | 3992.88", "doc_id": 1121, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Mexicans are people from Mexico, where the currency is the Mexican peso. Silvano Aureoles Conejo is the current leader of Mexico. Bionico, from the region Jalisco, is a food found in Mexico and served for dessert.", "Bionico is a Mexican dessert found in the region of Jalisco. Mexico's inhabitants are called 'Mexicans', their currency is the Mexican Peso and their leader is Silvano Aureoles Conejo.", "Mexicans (inhabitants of Mexico) use the peso (their currency) to buy dessert delicacies such as bionicos. Bionicos are found in the region of Jalisco which is located in Mexico. Silvano Aureoles Conejo is the leader of Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | region | Jalisco, Bionico | country | Mexico", "doc_id": 840, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the", "target": ["The long name for India is the Republic of India.", "Republic of India is the long name of India.", "The official long name for India is \"Republic of India\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | longName | \"Republic of India\"", "doc_id": 1483, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The Bananaman\" is a British television series, which ran from 1986 to 1989. It was created by Steve Bright and was based on the life of the British comedian and actor, Steve Bright. The series was produced by the BBC and was broadcast on BBC One. The series was a critical and commercial success, and was nominated for a BAFTA Award for Best Television Series.\nThe Bananaman is a British television series, which ran from 1986 to 1989. It was created by Steve Bright and was based on the life of the British comedian and actor, Steve Bright. The series was produced by the BBC and was broadcast on BBC One. The series was a critical and commercial success, and was nominated for a BAFTA Award for Best Television Series.\nThe Bananaman is a British television series, which ran from 1986 to 1989. It was created by Steve Bright and was based on the life of the British comedian and actor, Steve Bright. The series was produced by the BBC and was broadcast on BBC One. The series was a critical and commercial success, and was nominated for a BAFTA Award for Best Television Series.\nThe Bananaman is a British television series, which ran from 1986 to 1989. It was", "target": ["Steve Bright is the creator of Bananaman which was last broadcast on April 15th 1986 by the BBC.", "Bananaman was created by Steve Bright and last aired on April 15th 1986. It was broadcast by the BBC.", "Bananaman, the TV show, was created by Steve Bright and was last aired on 15th April 1986. Bananaman was broadcast on the BBC."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | creator | Steve_Bright, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC", "doc_id": 47, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ph.D.", "target": ["English Without Tears is written by Anatole de Grunwald.", "The writer of English Without Tears was Anatole de Grunwald.", "\"English Without Tears\" was written by Anatole de Grunwald."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Anatole_de_Grunwald", "doc_id": 1774, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were", "target": ["After releasing their album Squeeze, music group the Velvet Underground produced and released rock music album Bootleg Series Volume 1: The Quine Tapes, which they recorded in St Louis Missouri, USA The album was released on 2001-10-16 under the Polydor and Universal Music Group record labels and has a total run time of 230:05 minutes.", "Bootleg Series Volume 1: The Quine Tapes with run time of 230:05 was recorded under the Polydor Records and Universal Music Group record label in St. Louis, Missouri, United States and released on October, 16, 2001. It was preceded by Squeeze by The Velvet Underground.", "The Bootleg Series Volume I: The Quine Tapes with runtime of 230.05 minutes was recorded in St. Louis Missouri,United States and released on 10-16-2001. Recorded through Polydor Records and Universal Music Group record label the album was preceded by the album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 255, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lou_Reed | recordLabel | Universal_Music_Group, Universal_Music_Group | parentCompany | Vivendi, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, The_Velvet_Underground | formerBandMember | Lou_Reed, Lou_Reed | recordLabel | Universal_Music_Group, Universal_Music_Group | parentCompany | Vivendi, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, The_Velvet_Underground | formerBandMember | Lou_Reed, Lou_Reed | recordLabel | Universal_Music_Group, Universal_Music_Group | parentCompany | Vivendi, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, The_Velvet_Underground | formerBandMember | Lou_Reed, Lou_Reed | recordLabel | Universal_Music_Group, Universal_Music_Group | parentCompany | Vivendi, Bootleg_Series_Volume_1:_", "target": ["Musical group the Velvet Underground released The album The Bootleg Series Volume 1: The Quine Tapes, which was recorded under the Universal Music Group and its parent company Vivendi. A former member of the band was Lou Reed.", "The Bootleg Series Volume I: The Quine Tapes by The Velvet Underground was released by the record label Universal Music Group whose parent company is Vivendi. Lou Reed is a former member of the band The Velvet Underground.", "Universal Music Group (by parent company Vivendi) is the record label of Bootleg Series Volume 1: The Quine Tapes by the band The Velvet Underground of which Lou Reed is a former member."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Universal_Music_Group | parentCompany | Vivendi, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, The_Velvet_Underground | formerBandMember | Lou_Reed", "doc_id": 1432, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| is a city in La Crosse County, Wisconsin, United States. The population was 1,836 at the 2010 census.\nThe city is named for the La Crosse River, which flows through the city.\nLa Crosse is the county seat of La Crosse County.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River, which flows through the city.\nThe city is located on the La Crosse River", "target": ["La Crosse is a city in La Crosse County in the U.S. state of Wisconsin.", "La Crosse Wisconsin is part of La Crosse County Wisconsin.", "La Crosse, Wisconsin is part of La Crosse County, Wisconsin.", "La Crosse is part of La Crosse County in Wisconsin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLa_Crosse,_Wisconsin | isPartOf | La_Crosse_County,_Wisconsin", "doc_id": 499, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 12th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 13th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | country | \"United States\"\n14", "target": ["The 11th Mississippi Infantry Monument, located in the municipality of Gettysburg in Adams County, Pennsylvania, United States, just south of Cumberland County, Pennsylvania, is categorized as a Contributing Property that was established in 2000.", "The 11th Mississippi Infantry Monument falls under the category of contributing property and was established in the year 2000 in Pennsylvania in the municipality of Gettysburg in the United States. The 11th Mississippi Infantry Monument's location is Adams County, Pennsylvania, and Adams County, Pennsylvania has Cumberland County, Pennsylvania to its north.", "The 11th Mississippi Infantry Monument, a contributing property built in 2000, in Adams County, Pennsylvania, United States is in the municipality of Gettysburg. Pennsylvania's Cumberland County is to the north of the Adams County."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 697, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | training | profession | occupation | nationality | religion | occupation | nationality | religion | occupation | nationality | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | occupation | religion | religion | occupation | religion | occupation | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | occupation | religion | religion | religion | occupation | religion | religion | religion | occupation | religion | religion | religion | occupation | religion | religion | religion | occupation | religion | religion | religion | occupation | religion | religion | religion | religion | occupation | religion | religion | religion | religion | occupation | religion | religion | religion | religion | occupation | religion | religion | religion | religion | religion | occupation | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion |", "target": ["Liselotte Grschebina, born May 2, 1908 in Karlsruhe studied at the School of Applied Arts in Stuttgart before her death in Israel on June 14, 1994.", "Liselotte Grschebina was born in Karlsruhe on May 2, 1908, studied at the School of Applied Arts in Stuttgart and died in Israel on June 14, 1994.", "Liselotte Grschebina was born in Karlsruhe on May 2nd, 1908, attended the school of Applied Arts in Stuttgart and died in Israel on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart", "doc_id": 709, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | weight | net worth | education | family | religion | occupation | hobbies | interests | movies | books | music | TV | twitter | instagram | facebook | youtube | vlog | instagram | google+ | instagram | google+ | youtube | vlog | instagram | google+ | youtube | vlog | instagram | google+ | youtube | vlog | instagram | google+ | youtube | vlog | instagram | google+ | youtube | youtube | vlog | instagram | google+ | youtube | youtube | vlog | instagram | google+ | youtube | youtube | youtube | vlog | instagram | google+ | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube | youtube", "target": ["Super Capers starred Michael Rooker, who was born in Jasper, Alabama.", "Super Capers is a film starring Michael Rooker, who was born in Jasper, Alabama.", "Michael Rooker, who played in Super Capers, was born in Jasper, Alabama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Michael_Rooker | birthPlace | Jasper,_Alabama", "doc_id": 253, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal | 22591.38 sq. km.\nNew_Jersey | areaTotal", "target": ["New Jersey has a total area of 22,591.38.", "The total area of New Jersey is 22,591 square kilometers.", "The total area of New Jersey is 22,591.38 km^2."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNew_Jersey | areaTotal | 22591.38", "doc_id": 1570, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala |", "target": ["The population of the metropolitan area of Ciudad Ayala is 1,777,539, with a population density of 1604.0 and the UTC offset of -6. The government of Ciudad Ayala is council-manager government .", "The city of Ciudad Ayala has a UTC offset of -6 and a population density of 1604. Its population is 1777539 and it is governed by a council-manager.", "Ciudad Ayala, which is in the UTC offset -6 time zone, has a population density of 1604.0 in the metropolitan area with a range of 1,777,539 and uses a council manager type government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126", "doc_id": 1423, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_Capers | budget | 2000000.0, Super_Capers | language | English, Super_Capers | runtime | 1000000.0, Super_", "target": ["Super Capers, an English-language movie, had a running time of 98 minutes and a 2,000,000 dollar budget. Super Capers was edited by Stacy Katzman, written by Ray Griggs, and starred Michael Rooker and Tom Sizemore.", "Super Capers is a 98 minute American English movie starring Michael Rooker and Tom Sizemore. It was directed by Ray Griggs and edited by Stacy Katzman. It had a budget of $2,000,000.", "Super Capers, a movie in English, has a 98 minute run time. Super Capers starred Michael Rooker and Tom Sizemore. Written by Ray Griggs and edited by Stacy Katzman, the movie Super Capers had a budget of 2000000.0 dollars."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | runtime | 98.0, Super_Capers | budget | 2000000.0, Super_Capers | writer | Ray_Griggs_(director)", "doc_id": 1732, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | songwriter | producer | producer | songwriter | producer | songwriter | producer | producer | songwriter | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | songwriter | producer | producer | producer | songwriter", "target": ["Imagine is a song that Train followed Mermaid with, which was a song produced by the production team Espionage, and was on their album California 37.", "Train followed its song Mermaid, from its California 37 album, which was was produced by the production team Espionage, with a song titled Imagine.", "From the production team Espionage, Train's song Mermaid (on the California 37 album) was followed by Train's performance of Imagine by John Lennon.", "The Train song Mermaid, which belongs to the California 37 Train album and was produced by Espionage, is followed by the John Lennon song Imagine.", "Train's song Imagine came after a song from their California 37 album, titled Mermaid, which was produced by the production team Espionage."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | album | California_37_(Train_album)", "doc_id": 23, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | music | John_B.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | music | John_B.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | music | John_B.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles,", "target": ["Anatole de Grunwald wrote and produced English Without Tears which had Bernard Knowles as the cinematographer.", "\"English Without Tears\" features cinematography by Bernard Knowles. It was produced and written by Anatole de Grunwald.", "English Without Tears is a film written and produced by Anatole de Grunwald. Bernard Knowles was in charge of the cinematography."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 1335, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2014 | The_Velvet_Underground, Boot", "target": ["Bootleg Series Volume 1: The Quine Tapes, which has a runtime of 230.05 minutes, was produced by The Velvet Underground.", "Velvet Underground was the producer of the album Bootleg Series Volume 1 : The Quine Tapes which has a run time of 230:05.", "The Bootleg Series Volume I: The Quine Tapes, produced by The Velvet Underground, have a runtime of 230.05 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 443, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | cinematographer | John_Barker, English_Without_Tears | editor | John_Barker, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Anatole_de_Grunwald, English_Without_Tears | cinematographer | John_Barker, English_Without_Tears | editor | John_Barker, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Anatole_de_Grunwald, English_Without_Tears | cinematographer | John_Barker, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English", "target": ["English Without Tears is an 89 minute movie that was released on July 28th, 1944. It was directed by Harold French and edited by Alan Jaggs. The producers and music composers consists of Anatole de Grunwald and Nicholas Brodszky.", "English Without Tears was released July 28, 1944 and runs 89 minutes long. It was directed by Harold French, edited by Alan Jaggs and produced by Anatole de Grunwald. The songs used in the film were composed by Nicholas Brodszky.", "Harold French directed the 89 minute movie English Without Tears which was released on July 28, 1944. Anatole de Grunwald was the producer of the movie which had Nicholas Brodszky as the music composer and Alan Jaggs as the editor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 1377, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["The currency of Mexico is the peso and the local people are called Mexicans. In Mexico there is a region called Jalisco which makes a dessert called bionico that requires granola as one of its ingredients.", "Bionico (made from Granola) is a food from the region Jalisco in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | ingredient | Granola, Bionico | region | Jalisco, Bionico | country | Mexico", "doc_id": 1494, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Gdynia,_Poland | height | 5'5\" | weight | 60.0, Gdynia,_Poland | height | 5'5\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include", "target": ["Piotr Hallmann currently weighs 70.308 kg and was born on August 25, 1987 in Gdynia, Poland, which has a total area of 135,000,000.0 and was founded on February 10, 1926.", "Piotr Hallmann currently weighs 70.308kg and was born on August 25, 1987 in Gdynia, Poland which was founded on February 10, 1926 and has a total area of 135 square kilometres.", "Piotr Hallmann weighs 70.308 kg and was born on August 25, 1987 in Gdynia, Poland, which was founded on February 10, 1926 and has a total area of 135.0 square km."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25, Piotr_Hallmann | birthPlace | Gdynia,_Poland, Gdynia,_Poland | areaTotal | 135000000.0, Gdynia,_Poland | foundingDate | 1926-02-10", "doc_id": 814, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| type | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | city, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ay", "target": ["Ciudad Ayala is a city with the population density of 1604 and has a council-manager as their government type.", "Ciudad Ayala is a city with a population density of 1604.0 and a council-manager government.", "Ciudad Ayala city has a population density of 1604.0 uses a type of government called council-manager government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government", "doc_id": 1332, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | Turkey | leader | leader | Turkey | leader | Turkey | leader | Turkey | leader", "target": ["The title of the leader of Turkey is \"President\".", "The title for the leader of Turkey is President.", "One of the leaders of Turkey is the president."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | leaderTitle | President", "doc_id": 1108, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Southern_sludge | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music |", "target": ["The Year of No Light album Nord is in the sludge metal genre, one variety of which is southern sludge.", "Nord is an album by Year of No Light in the sludge metal genre, of which southern sludge is a subgenre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Sludge_metal | musicSubgenre | Southern_sludge", "doc_id": 724, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Turkish Republic of Northern Cyprus.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first", "target": ["Nurhan Atasoy is a Turkish citizen.", "Nurhan Atasoy is a citizen of Turkey.", "Nurhan Atasoy's citizenship is Turkish."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | citizenship | Turkey", "doc_id": 702, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India | India", "target": ["Acharya Institute of Technology is in Bangalore, Karnataka.", "The Acharya Institute of Technology is located in the state of Karnataka in the city of Bangalore.", "You\u2019ll find Acharya Institute of Technology in Bangalore, Karnataka, India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1313, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical_Education | All_India_Council_for_Technical", "target": ["The All India Council for Technical Education was proud to give the Technical Campus status to the Acharya Institute of Technology located in Bangalore. The Institute is affiliated with Visvesvaraya Technological University.", "Acharya Institute of Technology in Bangalore received the Technical Campus status by the All India Council for Technical Education and has an affiliation with Visvesvaraya Technological University.", "The Acharya Institute of Technology, located in Bangalore, is affiliated with the Visvesvaraya Technological University and was given the 'Technical Campus' status by the All India Council for Technical Education."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1648, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | foundationPlace | La_Crosse,", "target": ["Trane, a company founded in LaCrosse, Wisconsin, has an operating income of $875.4 million and a net income of $556 million.", "Trane was founded in La Crosse, Wisconsin, bringing in a net income of $556,300,000 but an operating income of $875,400,000.", "Trane, which was founded in La Crosse, Wisconsin, has a net income of $556,300,000 and an operating income of $875,400,000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | netIncome | 556300000, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | operatingIncome | 875400000", "doc_id": 1493, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".", "target": ["The apoapsis of 1147 Stavropolis is 418476000000.0.", "The apoapsis of the 1147 Stavropolis asteroid is 418476000000.0 AU."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0", "doc_id": 340, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band_of_monarch | year_of_no_light | band", "target": ["Monarch is a band that is associated with Year of No Light.", "Monarch is a band associated with Year of No Light.", "Members of Year of No Light include a former guitarist for the band Monarch."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nYear_of_No_Light | associatedBand/associatedMusicalArtist | Monarch_(band)", "doc_id": 1322, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_Carey_(actor_born_1878) | actor | Harry_", "target": ["The movie McVeagh of the South Seas was written and directed by Harry Carey and directed by Cyril Bruce. Carey was born in 1878.", "Harry Carey was born in 1878 and was the actor, writer as well as director for the film McVeagh of the South Seas, which was co-directed Cyril Bruce.", "Harry Carey was born in 1878. In addition to cowriting the film with Cyril Bruce, Harry Carey was an actor and writer of the film McVeagh of the South Seas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 318, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club", "target": ["Aleksandr Prudnikov, who is 185 cm tall, once played for FC Spartak Moscow's youth team and now turns out for FC Terek Grozny.", "Aleksandr Prudnikov is in the FC Terek Grozny club and he is a member of the youth side of FC Spartak Moscow. His height is 185 cm.", "Aleksandr Prudnikov who is 185.0cm tall played for FC Terek Grozny and FC Spartak Moscow, a youth football club."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny", "doc_id": 1274, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| government.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Nurhan Atasoy resides in the unitary state of Turkey, specifically in Istanbul.", "Nurhan Atasoy resides in Istanbul which is in Turkey whose type of government is s unitary state.", "Nurhan Atasoy resides in Istanbul, Turkey. Turkey has a unitary form of government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Turkey | governmentType | Unitary_state, Nurhan_Atasoy | residence | Turkey", "doc_id": 155, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_", "target": ["English Without Tears, written by Terence Rattigan, runs 89 minutes. The cinematography for the film was done by Bernard Knowles.", "English Without Tears, an 89 minute film written by Terence Rattigan, features the cinematography of Bernard Knowles.", "Terence Rattigan is the writer of the 89 minute movie \u00b4English Without Tears\u00b4 and Bernard Knowles is the cinematographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0", "doc_id": 26, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Bedford Aerodrome is a motor racing circuit in Bedfordshire, England. It is the home of the British Formula One Grand Prix.\nThe first part of the task is to show the representation and then the natural language.\nThe second part of the task is to show the representation and then the natural language.\nThe third part of the task is to show the representation and then the natural language.\nThe fourth part of the task is to show the representation and then the natural language.\nThe fifth part of the task is to show the representation and then the natural language.\nThe sixth part of the task is to show the representation and then the natural language.\nThe seventh part of the task is to show the representation and then the natural language.\nThe eighth part of the task is to show the representation and then the natural language.\nThe ninth part of the task is to show the representation and then the natural language.\nThe tenth part of the task is to show the representation and then the natural language.\nThe eleventh part of the task is to show the representation and then the natural language.\nThe twelfth part of the task is to show the representation and then the natural language.\nThe th", "target": ["The Bedford Aerodrome has an operating organization that is called the MotorSport Vision.", "MotorSport Vision is the operating organisation for Bedford Aerodrome.", "MotorSport Vision operates the Bedford Aerodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision", "doc_id": 934, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_Achievement | State_Award_for_Superior_A", "target": ["Nurhan Atasoy won State Award for Superior Achievement.", "Nurhan Atasoy was awarded the State Award for Superior Achievement.", "Nurhan Atasoy is a recipient of the State Award for Superior Achievement."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | award | State_Award_for_Superior_Achievement", "doc_id": 218, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist | album | tracklist", "target": ["Nord, an album in the post metal genre was released on 06-09-2006 by the artist Year of No Light.", "The post-metal band, Nord released their album Year of No Light on September 6, 2006.", "The Year of No Light album Nord genre is post-metal genre was released on 2006-09-06."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06", "doc_id": 941, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France | University_of_Burgundy | numberOfPostgraduateStudents | 9400,", "target": ["The university of Burgundy is located in the city of Dijon, France. 9400 postgraduates students attend the University.", "The University of Burgundy, Dijon, France, has 9400 post-graduate students.", "The university of Burgundy has 9400 postgraduate students. It is located in the city of Dijon, France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | city | Dijon, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | country | France", "doc_id": 1223, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(", "target": ["Year of No Light produced the album Nord, which was released on June 9th, 2006. Nord falls into the sludge metal genre. Year of No Light's next album was Live at Roadburn 2008.", "The Year of No Light album Nord was released on September 6, 2006 and was followed by Year of No Light's album Live at Roadburn 2008. The album was produced by the band and is in the genre of sludge metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light", "doc_id": 651, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| english | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language | english_language", "target": ["The language code (ISO 639-2) of the English language is eng.", "\u201ceng\u201d is the ISO 639-2 code for the English language.", "The ISO 639-2 code of the English Language is eng."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_language | iso6392Code | eng", "doc_id": 1695, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico is a dish served for dessert, which contains raisins and is found in Mexico. The currency in Mexico is the Mexican peso.", "Bionico is a food found in Mexico which contains raisins and is served as a dessert. The local currency in Mexico is the peso.", "Bionico is a dessert which contains raisins. It is found in Mexico where the local currency is the peso."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Bionico | ingredient | Raisin, Bionico | country | Mexico", "doc_id": 298, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert, Mexico | language | Spanish_language, Bionico | country | language | Spanish_language, Bionico | course | dessert", "target": ["Bionico is a popular dessert from the Spanish speaking country of Mexico.", "Bionico is a dish served for dessert in Spanish-speaking Mexico.", "Bionico is a dessert found in Mexico and language of Mexico is Spanish."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Mexico | language | Spanish_language, Bionico | country | Mexico", "doc_id": 960, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "people per square kilometer.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the", "target": ["Israel, where Liselotte Grschebina died, has 387.63 people per square kilometre of land area.", "Liselotte Grschebina died in Israel, a country which has a population density of 387.63 people per square kilometre of land area.", "Liselotte Grschebina died in Israel whose population density is 387.63."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Israel, Israel | populationDensity | 387.63", "doc_id": 504, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC", "target": ["The BBC broadcasted Bananaman, which was created by Steve Bright.", "Steve Bright is the creator of Bananaman which is broadcast by the BBC.", "Bananaman, the TV series created by Steve Bright, was shown on the BBC."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC", "doc_id": 114, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music", "target": ["Aaron Turner plays the electric guitar with the band Twilight.", "Aaron Turner played electric guitar with the band Twilight.", "Aaron Turner played the electric guitar with the Band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar", "doc_id": 1586, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Train_(band) | genre | Reggae, Train_(band) | genre | Pop_rock, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre | Reggae, Train_(band) | genre |", "target": ["The song Mermaid belongs to the musical band Train written in the reggae music genre where Pop rock is the genre.", "The reggae song Mermaid was written by the pop rock band Train.", "The song Mermaid by the music band The Train is from the reggae genre, but in general the Train band play pop rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | genre | Reggae, Train_(band) | genre | Pop_rock", "doc_id": 1123, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_", "target": ["After releasing their album Squeeze, music group the Velvet Underground produced and released rock music album Bootleg Series Volume 1: The Quine Tapes, which they recorded in St Louis Missouri, USA. The album has a total length of 230:05 minutes.", "The Bootleg Series Volume I: The Quine Tapes created and produced by The Velvet Underground with runtime of 230.05 minutes was recorded in St. Louis, Missouri, United States. The rock music genre album is preceded by the Velvet Underground album Squeeze.", "After releasing their album Squeeze, music group the Velvet Underground produced and released rock music album Bootleg Series Volume 1: The Quine Tapes which they recorded in St Louis Missouri, USA. The album has a total run time of 230:05."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album)", "doc_id": 753, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | writer | Pat_Monahan | \"I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | writer | Pat_Monahan | \"I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | writer | Pat_Monahan | \"I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | writer | Pat_Monahan | \"I will verbalize", "target": ["Pat Monahan is the writer of the song Mermaid by the band Train.", "The Train song Mermaid was written by Pat Monahan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Pat_Monahan", "doc_id": 1277, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation", "target": ["San Francisco is in the timezone UTC-7.", "The UTC offset at San Francisco is -7.", "San Francisco's Coordinated Universal Time Offset is minus seven hours."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSan_Francisco | utcOffset | −7", "doc_id": 688, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | writer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director", "target": ["Harry Carey (actor, born in 1878) was the writer of McVeagh of the South Seas.", "Harry Carey is the writer for the film McVeagh of the South Seas.", "The film McVeagh of the South Seas has been written by Harry Carey, who was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 895, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | AirbaseName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Air", "target": ["The United States Air Force is the operating organisation for Al Asad airbase and has a runway named 09R/27L.", "Al Asad Airbase is operated by the United States Air Force and has a runway name 09R/27L.", "Al Asad Airbase is operated by the United States Air Force and has a runway named 09R/27L."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | runwayName | \"09R/27L\", Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force", "doc_id": 464, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Xiangyang | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPartOf | isPart | isPartOf", "target": ["Nie Haisheng was born in Zaoyang, Xiangyang, Hubei Province. He was a crew member on Shenzhou 6 and took part in the Shenzhou 10 mission.", "Nie Haisheng was born in Zaoyang, Hubei province and is part of Xiangyang. He ook part in the Shenzhou 6 mission and was a part of Shenzhou 10 mission.", "Nie Haisheng was born in Zaoyang, which is a part of Xiangyang and the Hubei province. Haisheng was apart of the Shenzhou 10 mission and also took part in the Shenzhou 6 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | birthPlace | Zaoyang, Zaoyang | isPartOf | Hubei, Zaoyang | isPartOf | Xiangyang", "doc_id": 588, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthDate | \"1923-11-18\", Alan", "target": ["Alan Shepard (served as a test pilot) was born in New Hampshire, on November 18, 1923 and died in California.", "Alan Shepard was born on Nov 18, 1923 in New Hampshire and was a test pilot who died in California.", "Alan Shepard was born in New Hampshire on November 18th, 1923. His occupation was a test pilot and he died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot", "doc_id": 1247, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great", "target": ["It's Great to Be Young is a 1956 film which was produced by Cyril Frankel, and starred John Mills and Cecil Parker.", "The 1956 film It's Great to be Young was directed by Cyril Frankel. The star of the movie was Cecil Parker, and John Mills had a main role as well.", "John Mills plays the lead and Cecil Parker had a main role in the 1956 movie, It's Great to Be Young which was directed by Cyril Frankel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 944, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dent", "target": ["Darinka Dentcheva, a United States citizen born January 1, 1958, is a mathematician working in the field of mathematical optimization. She is known for her work with stochastic programming and developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski. Humboldt University is her alma mater.", "Darinka Dentcheva, a United States citizen, was born on January 1, 1958. She is a graduate of Humboldt University and her professional field is mathematical optimization. Having been influenced by Andrzej Piotr Ruszczynski, she is known for her work with stochastic programming.", "Born on January 1, 1958, Darinka Dentcheva is a United states Citizen who is widely known for Stochastic programming as well as a professional in the field of mathematical optimization. Having attended Humboldt University, Darinka Dentcheva was influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 1542, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common natural language processing tasks.\nThe following is a list of the most common", "target": ["The area code of Tokat is +90 356.", "The area code for Tokat is +90 356.", "Tokat\u2019s area code is +90 356."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTokat | areaCode | \"+90 356\"", "doc_id": 587, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| instrument | Post-metal, Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band) | instrument | Post-metal, Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band) | instrument | Post-metal, Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band) | instrument | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner |", "target": ["Aaron Turner is a performer in the post metal genre, in particular he earns his living by singing. He is originally from Massachusetts and played with the band Twilight.", "Aaron Turner is a post metal singer who was born in Massachusetts and played with the band Twilight.", "Aaron Turner is a post-metal singer from Massachusetts who played with the band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band)", "doc_id": 799, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | ethnicity | ethnicity | religion | ethnicity | religion | ethnicity | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion", "target": ["Nurhan Atasoy is of Turkish nationality and a citizen of Turkey born on January 1, 1934 in Turkey.", "Nurhan Atasoy is of the Turkish nationality and was born in Turkey on 1 January 1934. He maintains citizenship in Turkey.", "Nurhan Atasoy was born in Turkey on 1934-01-01. He is a Turkish citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1612, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_", "target": ["English Without Tears is a 89 minute film that was written and produced by Anatole de Grunwald. the movie was released on July 28th, 1944. Nicholas Brodszky was the musical composer and Harold French was the director . The editing was done by Alan Jaggs.", "The film English Without Tears, which was released on July 28, 1944, has a running time of 89 minutes. The film was composed by Nicholas Brodszky, directed by Harold French, edited by Alan Jaggs, and was written and produced by Anatole de Grunwald.", "English Without Tears was an 89 minute movie that was released on July 28th 1944. The writer and producer of the film, was Anatole de Grunwald and the director was Harold French. Alan Jaggs was the editor while Nicholas Brodszky was the musical composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald", "doc_id": 1364, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "target": ["Adams County Pennsylvania, which is to the east of Franklin County, Pennsylvania, is the location of the 11th Mississippi Infantry Monument, which was established there in the year 2000. The 11th Mississippi Infantry Monument stands in the municipality of Gettysburg and falls under the category of Contributing property. To the southeast of Adams County, lies Carroll County, Maryland.", "A monument to the 11th Mississippi Infantry was built in 2000 in the municipality of Gettysburg which is in Adams County, Pennsylvania. Carroll County Maryland is southeast of Adams County, while Pennsylvania's Franklin County is to be found to the west. This monument is categorised as a contributing property.", "To the west of Adams County, Pennsylvania, is Franklin County, Pennsylvania and to its southeast is Carroll County, Maryland. In Adams County, a monument to the 11th Mississippi Infantry was established in 2000 in the municipality of Gettysburg. This monument is categorized as a Contributing Property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 160, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honeymoon_Killers, The_Honey", "target": ["The album Turn Me On was produced by Wharton Tiers, followed by the Take it Off album. The producer of Take It Off! is the American band the Honeymoon Killers, coming after Take it Off! was the extended play song, 'Til Death Do Us Part.", "Take It Off! by the American band The Honeymoon Killers was preceded by their album Turn Me On, produced by Wharton Tiers, and followed by the EP 'Til Death Do Us Part.", "The album Turn Me On, produced by Wharton Tiers is followed by the album Take It Off which is produced by the American band the Honeymoon Killers. and the EP titled 'Til Death Do Us Part came after."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | producer | Wharton_Tiers, Take_It_Off! | followedBy | 'Til_Death_Do_Us_Part_(EP), Turn_Me_On_(album) | followedBy | Take_It_Off!, Take_It_Off! | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 567, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing_property | category | Contributing", "target": ["The 11th Mississippi Infantry Monument was established in 2000 and is categorized as a Contributing Property. The monument is situated in Adams County, Pennsylvania which has Frederick County, Maryland to its southwest.", "The 11th Mississippi Infantry Monument, which was built in the year 2000, falls under the category of contributing property. The monument is located in Adams County, Pennsylvania which has Frederick County, Maryland to the southwest.", "A monument to the 11th Mississippi Infantry was erected in Adams County, Pennsylvania in the year 2000. Frederick County, Maryland is southwest of Adams County Pennsylvania. The 11th Mississippi Infantry Monument is in the category of a contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 93, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0.00, Super_Capers | net | $0", "target": ["Stacy Katzman edited Super Capers, a move with a 2000000.0 budget, which was written and directed by Ray Griggs and had a duration of 98 minutes and grossed $30.995.", "Super Capers was edited by Stacy Katzman, and its budget was 2000000. It was written and directed by Ray Griggs, and it had a running time of 98 minutes. The film collected $30955.0.", "Super Capers is a 98 minute film that had a budget of 2 million and grossed $30,955. The film was written and directed by Ray Griggs and was edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | budget | 2000000.0, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | runtime | 98.0, Super_Capers | gross | 30955.0", "doc_id": 1426, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["The pop rock song Mermaid by the band Train was released under the record label Columbia Records.", "The pop rock song Mermaid by Train was released on the Columbia Records record label.", "The pop rock song Mermaid, by Train, is on Columbia Records."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records", "doc_id": 381, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Russia.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace | Saint_Petersburg, Russia.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace | Saint_Petersburg, Russia.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace | Saint_Petersburg, Russia.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace", "target": ["Olga Bondareva died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg", "doc_id": 1681, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | Address | Bangalore | India | phone | email | website | contact | website | contact | website | contact | website | contact | website | contact | website | contact | website | contact | website | contact | website | contact | website | website | contact | website | website | contact | website | website | contact | website | website | website | contact | website | website | website | website | contact | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website | website", "target": ["The Acharya Institute of Technology, established in 2000 and affiliated with Visvesvaraya Technological University, is located in Karnataka at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology, established in 2000 and affiliated with Visvesvaraya Technological University, is located in Karnataka at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "Acharya Institute of Technology, established in 2000 and affiliated with Visvesvaraya Technological University, is located in the state of Karnataka at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 569, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density", "target": ["The population density in Ciudad Ayala is 1604 and the population in the metropolitan area is 1777539. Ciudad Ayala is located in the Pacific Daylight time zone and has a leader called the Governator.", "Ciudad Ayala's time zone is Pacific Daylight Time, the population density is 1604.0 and the population of the metropolitan area is 1,777,539. In Ciudad Ayala the leader is called the governator.", "Ciudad Ayala city has a population density of 1604.0, a metropolitan population of 1,777,539, is in the PDT time zone and has a leader that is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 188, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaM", "target": ["Olga Bondareva graduated from Leningrad State University and currently works in the field of Economics. She is most widely known for Bondareva-Shapley theorem.", "Olga Bondareva, an economist known for the Bondareva-Shapley theorem, studied at Leningrad State University.", "Known for the Bondareva-Shapley theorem, Olga Bondareva was once a student at Leningrad State University and an Economics professional."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics", "doc_id": 1020, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icao", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF with its runway length of 1095.", "Bedford Aerodrome has a runway length of 1095 and has an ICAO identifier of EGBF.", "Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and the runway length is 1095.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 1550, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "km2.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Nurhan Atasoy was born in Turkey, a country that has an area total of 783,356.0 km^2.", "Nurhan Atasoy's was born in Turkey whose total area is 783,356 sq/km.", "Nurhan Atasoy was born in Turkey, which encompasses 783,356 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Turkey, Turkey | areaTotal | 783356.0", "doc_id": 1436, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | culture | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Mexico inhabited by Mexicans with peso as its currency has Silvano Aureoles Conejo as one of its leaders. Bionico is served as a dessert in Mexico and comes from Guadalajara. It has chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins as its main ingredients.", "Silvano Aureoles Conejo is a leader of the Mexican people living in Mexico and whose currency is the peso. In Guadalajara, Mexico, you can find a dish called Bionico served at the dessert course, consisting of sour cream, chopped fruits, condensed milk, granola, raising, and shredded coconut.", "Mexico inhabited by Mexicans with peso as its currency has Silvano Aureoles Conejo as one of its leaders. Bionico, served as a dessert in Mexico, is from Guadalajara region and has chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins as its main ingredients."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Bionico | country | Mexico", "doc_id": 392, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon, France | numberOfStudents | 27400, University_", "target": ["In Dijon, The University of Burgundy campus is home to 27400 students, 1299 of whom are pursuing their doctorate degree.", "The University of Burgundy, which is in Dijon, has 27400 students in all, of which 1299 are doctoral students.", "The number of students in the University of Burgundy in Dijon is 27400 including 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon", "doc_id": 871, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Bedford Aerodrome runway, which is 1095 long, is named 08/26 and its elevation above sea level is 83.2104 meters.", "Bedford Aerodrome has a runway named 08/26 that has a length of 1095.0 and is located 83.2104 above sea level.", "The Bedford Aerodrome is 83.2 meters above sea level. The runway has a length of 1095 and is named 08/26."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 1420, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o", "target": ["Based in Arapiraca, the Estadio Municipal Coaracy da Mata Fonseca is the name of the ground in which Agremia\u00e7\u00e3o Sportiva Arapiraquense play. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and competed in the 2015 Campeonato Brasileiro S\u00e9rie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense's club has 17000 members and they play at the Estadio Municipal Coaracy da Mata Fonseca which is located in Arapiraca. The team plays in the Campeonato Brasileiro S\u00e9rie C league and played in the Campeonato Brasileiro Serie C in 2015.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense in Arapiraca. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members, competed in the 2015 Campeonato Brasileiro S\u00e9rie C, and played in the Campeonato Brasileiro S\u00e9rie C league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1375, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man named Tom Simon, who was killed in a factory farm in Ohio. The film is narrated by the man\u2019s mother, who is also the film\u2019s director. The film is a combination of interviews with the family, the police, and the factory farm\u2019s owner. The film also includes footage of the farm and the factory.\nThe film is a combination of interviews with the family, the police, and the factory farm\u2019s owner. The film also includes footage of the farm and the factory.\nThe film is a combination of interviews with the family, the police, and the factory farm\u2019s owner. The film also includes footage of the farm and the factory.\nThe film is a combination of interviews with the family, the police, and the factory farm\u2019s owner. The film also includes footage of the farm and the factory.\nThe film is a combination of interviews with the family, the police, and the factory farm\u2019s owner. The film also includes footage of the farm and the factory.\nThe film is a combination of interviews with the family, the police, and the factory farm\ufffd", "target": ["Death of a Factory Farm was produced and directed by Tom Simon. It was released by HBO and is 83 minutes long.", "The film Death on a Factory Farm (83 minutes), broadcasted by HBO, is both directed and produced by Tom Simon.", "\"Death on a Factory Farm\" is an 83 minute HBO film that was produced and directed by Tom Simon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 1742, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| associatedBand/musicalArtist | Altar_of_Sorrow | associatedBand/musicalArtist | Altar_of_Death | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Reign | associatedBand/musicalArtist | Altar_of_Vanity | associatedBand/musicalArtist | Altar_of_Woe | associatedBand/musicalArtist | Altar_of_Glory | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Woe | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Woe | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Woe | associatedBand/musicalArtist | Altar_of_Purgatory | associatedBand/musicalArtist | Altar_of_Woe | associatedBand/mus", "target": ["Altar of Plagues has been associated with Year of No Light.", "Altar of Plagues is a band associated with Year of No Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nYear_of_No_Light | associatedBand/associatedMusicalArtist | Altar_of_Plagues", "doc_id": 1731, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| car | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle | carBodyStyle", "target": ["The coupe style Pontiac Rageous is assembled in Michigan.", "The Pontiac Rageous coupe was assembled in Michigan.", "The Pontiac Rageous, a coupe, was assembled in Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan, Pontiac_Rageous | bodyStyle | Coupe", "doc_id": 775, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening | English | Duration: 3:00 min.\nExpect_a_Miracle | genre | Easy_listening", "target": ["Expect a Miracle's genre is easy listening.", "Expect a Miracle is an easy listening album.", "Expect a Miracle is of the easy listening genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | genre | Easy_listening", "doc_id": 84, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight", "target": ["Liselotte Grschebina had Israeli nationality, studied at the School of Applied Arts in Stuttgart and died on June 14, 1994.", "Liselotte Grschebina is an Israeli national who studied at the School of Applied Arts in Stuttgart. She died on June 14th, 1994.", "Liselotte Grschebina, whose nationality was Israeli, attended the school of Applied Arts in Stuttgart. Grschebina passed away on June 14th, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 786, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta", "target": ["Located in Bangalore, the Acharya Institute of Technology is affiliated with the Visvesvaraya Technological University. B. M. Reddy is the President of Acharya Institute of Technology. Its campus is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090 and it is affiliated to Visvesvaraya Technological University and its president is B.M. Reddy.", "The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090 and its president is B.M. Reddy and it is affiliated with Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"", "doc_id": 1150, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the 2015 season and play in the Campeonato Brasileiro S\u00e9rie C league, which Vila Nova Futebol Clube have been the champions of.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the 2015 season and play in the Campeonato Brasileiro S\u00e9rie C league, which The Vila Nova Futebol Clube were champions of.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league in 2015 where Vila Nova Futebol Clube are the champions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube", "doc_id": 661, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | runtime | 98.", "target": ["Super Capers, a movie directed by Ray Griggs, was distributed by both Lionsgate and Roadside Attractions and had a 98 minute run time.", "\"Super Capers\" is a 98 minute film distributed by Lionsgate and Roadside Attractions. It was directed by Ray Griggs.", "The film Super Capers is directed by Ray Griggs and is 98 minutes long. It\u2019s distributed by Lionsgate and Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Lionsgate, Super_Capers | director | Ray_Griggs_(director), Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions", "doc_id": 1131, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language", "target": ["The Pontiac Rageous assembly line is in Detroit, which encompasses an area of 370.03 square kilometers.", "The Pontiac Rageous assembly line was in Detroit, which has total are of 370.03 square kilometers.", "The Pontiac Rageous was assembled in Detroit, which has a total area of 370.03 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Detroit, Detroit | areaTotal | 370.03", "doc_id": 139, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05", "target": ["Liselotte Grschebina was born on May 2, 1908 within the German Empire and died on June 14, 1994. The national anthem of the German Empire was Das Lied der Deutschen and Die Wacht Am Rhein.", "Liselotte Grschebina died on June 14, 1994 and was born on on May 2nd, 1908 in the German Empire which has the national anthem of Das Lied der Deutschen and Die Wacht am Rhein.", "Liselotte Grschebina was born on May 2, 1908 in the German Empire, whose anthem is Das Lied der Deutschen as well as Die Wacht am Rhein. Grschebina died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, German_Empire | anthem | Das_Lied_der_Deutschen, German_Empire | anthem | Die_Wacht_am_Rhein, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 1340, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Cadillac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pontiac | Pont", "target": ["Buick is the successor of Pontiac.", "One of the successors of Pontiac is Buick.", "The successor to Pontiac is Buick."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac | successor | Buick", "doc_id": 608, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | music | John_Barker, English_Without_Tears | cinematographer | John_Barker, English_Without_Tears | production designer | John_Barker, English_Without_Tears | production designer | John_Barker, English_Without_Tears | editor | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_T", "target": ["English Without Tears is an 89 minute movie directed by Harold French. The film's editor and producer consisted of two men by the name of Anatole de Grunwald and Alan Jaggs.", "English Without Tears is an 89 minute film that is directed by Harold French. It is edited by Alan Jaggs and produced by Anatole de Grunwald.", "English Without Tears is an 89 minute movie that was directed and produced by Harold French and Anatole de Grunwald. Alan Jaggs did the editing."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 212, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "-present | band | album | album_list | album_cover | album_title | album_artist | album_artist_name | album_artist_name | album_artist_name | album_artist_name | album_artist_name | album_artist_name | album_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_artist_name | album_artist_artist_artist_name | album_artist_artist_artist_artist_name | album", "target": ["Death metal is a musical fusion of black metal and is also a genre of Aaron Turner's music who started performing in 1995.", "Aaron Turner is a black metal performer who started performing in 1995. Death metal is a fusion genre of black metal.", "Death metal is a musical fusion of black metal and Aaron Turner is a black metal musician who started performing in 1995 ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBlack_metal | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1707, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16 min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16 min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the", "target": ["Written by the Band Train and released by Columbia Records, Mermaid is a pop rock song with a total runtime of three minutes and sixteen seconds.", "The pop rock song Mermaid by the band Train with runtime of 3.16 minutes was released under the record label Columbia Records.", "The pop rock song Mermaid by The Train has a run time of 3 minutes and 16 seconds and was released on the Columbia Records record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16", "doc_id": 1713, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Leningrad, Russia | b.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University | Leningrad, Russia | b.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University | Leningrad, Russia | b.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | birthDate | 1937-04", "target": ["Olga Bondareva, who was born on April 27, 1937, graduated from Leningrad State University.", "Olga Bondareva was born on April 27,1937 and graduated from Leningrad State University.", "Olga Bondareva was born on April 27, 1937, and later became a student of Leningrad State University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 488, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "berg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen_Lindberg, Espen", "target": ["The song Mermaid by Train (written by Espen Lind) was release on December 27, 2012. Mermaid has a total runtime of 3 minutes and 16 seconds, and belongs to the pop rock genre. Mermaid is preceded by the song This'll be my year.", "The Train song by Mermaid is from the pop rock genre written by Espen Lind that lasts 3.16 minutes which was released on 27th December 2012. It was preceded by the song This'll Be My Year.", "Mermaid is a pop rock song by the band Train that has a length of 3 minutes and 16 seconds released on 27 of December 2012, written by Espen Lind. This'll be my year by Train was followed by Mermaid."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind", "doc_id": 1725, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | country | France, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | longName | \"French", "target": ["The University of Burgundy is located in Dijon in France, which is also known as the French Republic and led by Claude Bartolone.", "The University of Burgundy is located in the city of Dijon, France. The country's full name is \"The French Republic\" and one of its leaders is Claude Bartolone.", "The University of Burgundy is located in the city of Dijon in France, which is also known as the French Republic and led by Claude Bartolone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | country | France, France | longName | \"French Republic\", University_of_Burgundy | city | Dijon, France | leader | Claude_Bartolone", "doc_id": 1187, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group", "target": ["Michael Rooker was born on April 6th 1955.", "The birth date of Michael Rooker is April 6th 1955.", "Michael Rooker was born on 6th April 1955."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMichael_Rooker | birthDate | 1955-04-06", "doc_id": 831, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["Lady Anne Monson lived in the Kingdom of England and held British nationality but resided in India for most of her life. Pranab Mukherjee is the leader of India, which has a total area of 32875900000000.", "Lady Anne Monson is a British national who currently resides in India, a country of 3,287,590 square kilometers led by Pranab Mukherjee.", "Lady Anne Monson was born in England but had her residence in India which has total area of 3287590000000.0. Pranab Mukherjee was a leader of India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | residence | India, India | leader | Pranab_Mukherjee, Lady_Anne_Monson | nationality | Kingdom_of_England, India | areaTotal | 3287590000000.0", "doc_id": 1068, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The College of William and Mary is the owner of the Alan B. Miller Hall which was completed on 1st June 2009, address is \"101 Ukrop Way\". The Mason School of Business are the current tenants of Alan B Miller Hall.", "The College of William and Mary is the owner of the Alan B.Miller Hall (address: \"101 Ukrop Way\"). It was completed on June 1st, 2009, and the Mason School of Business are its current tenants.", "The College of William and Mary is the owner of the Alan B. Miller Hall in 101 Ukrop Way completed in \"1 June 2009\" . The Mason School of Business are the current tenants."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 194, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | death", "target": ["Olga Bondareva, born in Leningrad, USSR, later died in Saint Petersburg.", "Olga Bondareva was born in Leningrad, USSR and died in Saint Petersburg.", "Olga Bondareva died in Saint Petersburg, although her birthplace was in Leningrad, USSR."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthPlace | Leningrad,_USSR", "doc_id": 149, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | was given the technical campus status by the All_India_Council_for_Technical_Education | location | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | was given the technical campus status by the All_India_Council_for_Technical_Education | location | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of", "target": ["The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090. Bangalore was founded by Kempe Gowda I, and the institute was established in 2000. The current director is Dr. G. P. Prabhukumar. The All India Council for Technical Education, which is located in Mumbai, gave the Acharya Institute of Technology the \"Technical Campus\" status.", "The Acharya Institute of Technology was established in 2000, and given Technical Campus status by the All India Council for Technical Education which is located in Mumbai. The director of the institute is Dr. G. P. Prabhukumar and is in Bangalore which was founded by Kempe Gowda I. The campus address is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The All India Council for Technical Education, based in Mumbai, granted Technical Campus status to the Acharya Institute of Technology, established in 2000. The Acharya Institute of Technology is based at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, and its director is Dr. G. P. Prabhukumar. Bangalore was founded by Kempe Gowda I."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 405, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire,", "target": ["Alan Shepard is an American who was born on November 18th, 1923 in New Hampshire, graduated from NWC with an M.A. in 1957, was the Chief of the Astronaut Office in 1963 and died in California.", "Alan Shepard was born in New Hampshire on Nov 18, 1923. He graduated from NWC with an MA in 1957, quickly rising through the ranks to become Chief of the Astronaut Office in 1963. Alan Shepard, an American to the end, passed away in California.", "Alan Shepard was born in the US, in the state of New Hampshire, in November 1923. He served as the Chief of the Astronaut Office in 1963, six years after graduating from NWC with an MA. He died in the state of California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 1025, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul_Ryan, Paul", "target": ["AmeriGas, located in King of Prussia, Pennsylvania (a census-designated place), serves all United States regions. Paul Ryan is one of the United States leadership team members.", "AmeriGas is located in King of Prussia, Pennsylvania which is a census-designated place. AmeriGas provides its services in the United States, which is led by Paul Ryan.", "The American company AmeriGas is in King of Prussia, Pennsylvania. This is a census-designated place. One of the political leaders in the US is Paul Ryan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | city | King_of_Prussia,_Pennsylvania, King_of_Prussia,_Pennsylvania | type | Census-designated_place, AmeriGas | regionServed | United_States, United_States | leader | Paul_Ryan", "doc_id": 1000, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSeaLevel | 245.0\"\nDijon | elevationAboveTheSea", "target": ["Dijon's elevation is 245.0 above the sea level.", "Dijon has an elevation of 245.0 above the sea level.", "Dijon's elevation is 245.0 above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDijon | elevationAboveTheSeaLevel | 245.0", "doc_id": 961, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "State University.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so", "target": ["The Pontiac Rageous was assembled in Michigan.", "The Pontiac Rageous is assembled in Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan", "doc_id": 1702, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_", "target": ["Year of No Light self-produced their sludge-metal album Nord, and released it on September 6th, 2006. The band's next album was Live at Roadburn 2008.", "Year of No Light is the artist and producer of the album Nord, which was released on September 6, 2006. It is in the sludge metal genre. It preceded Live at Roadburn 2008.", "The album Nord by Year of No Light, a sludge metal genre was produced by the band and released on 06-09-2006. It followed the album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light", "doc_id": 150, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense from Campeonato Brasileiro S\u00e9rie C league competed in the 2015 Campeonato Brasileiro S\u00e9rie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense compete in the Campeonato Brasileiro S\u00e9rie C league that had a competition in 2015.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the Campeonato Brasileiro S\u00e9rie C league in 2015."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C", "doc_id": 785, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | editor | John_Mills, It's_Great_to_Be_Young_(1956_film) | producer | John_Mills, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | year | release | IMDb | Rotten Tomatoes | Metacritic | Box Office Mojo | Wikipedia | YouTube | Vimeo | Vimeo On Demand | Netflix | Amazon | Hulu | HBO | YouTube | Vimeo | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand | Vimeo On Demand", "target": ["It\u2019s Great to Be Young is a 1956 film that lasts 94 minutes. It was directed by Cyril Frankel and its writer was Ted Willis. John Mills played in the film, and it collected 282,838 at the box office. The film music was written by Louis Levy, and Gilbert Taylor served as a cinematographer.", "The movie It's Great to Be Young, which was released in 1956, has a 94 minute running time and received \u00a3282,838. It's Great to Be Young was directed by Cyril Frankel, composed by Louis Levy, written by Ted Willis, and has John Mills playing the lead role. Gilbert Taylor was the cinematographer.", "It's Great to Be Young is a 1956 movie that was directed by Cyril Frankel, composed by Louis Levy, written by Ted Willis and starred John Mills. Gilbert Taylor was the cinematographer. The film cost \u00a3282,838 and had a running time of 94 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 576, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | D", "target": ["The University of Burgundy is located in the city of Dijon and has 27400 students and 1299 doctoral students.", "The University of Burgundy, located in Dijon, has 27400 students and 1299 doctoral students.", "The campus of the University of Burgundy, located in Dijon, has 27400 students and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon", "doc_id": 1236, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| country | currency | currency | country | currency | country | currency | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country | country", "target": ["Bionico is a dish served for dessert in Mexico, where the currency is the peso, the dish contains granola.", "Bionico, a food that requires granola as one of its ingredients and served at the dessert is found in Mexico. The currency is the Peso.", "Bionico is a food found in Mexico (currency: peso). Bionico (dessert) requires granola as one of its ingredients."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Bionico | ingredient | Granola, Bionico | country | Mexico", "doc_id": 43, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine", "target": ["Philippine Entertainment Portal is a subsidiary of GMA New Media, whose headquarters are in Quezon City, who makes web sites.", "Philippine Entertainment Portal, Inc is a subsidiary of GMA New Media which produces web services in the city of Quezon.", "GMA New Media, offering World Wide Web services and located in Quezon City, also has Philippine Entertainment Portal as their subsidiary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | Quezon_City, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal", "doc_id": 1737, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cityServed | Bedford_Autodrome | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed", "target": ["Bedford Aerodrome has served the Bedford Autodrome.", "The place served by the Bedford Aerodrome is the Bedford Autodrome.", "The Bedford Aerodrome serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome", "doc_id": 195, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel | president | Israel", "target": ["Liselotte Grschebina has Israeli nationality, a country whose leader is Reuven Rivlin.", "Liselotte Grschebina is an Israeli national whose leader is Reuven Rivlin.", "Israel's leader Reuven Rivlin is the same nationality as Liselotte Grschebina."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Israel | leader | Reuven_Rivlin", "doc_id": 817, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears", "target": ["The film English Without Tears (89 minutes long) features music composed by Nicholas Brodszky. English Without Tears was edited by Alan Jaggs, and the film's cinematography was done by Bernard Knowles.", "The 89-minute movie English Without Tears was composed by Nicholas Brodszky, edited by Alan Jaggs, and filmed by Bernard Knowles.", "English Without Tears was musically composed by Nicholas Brodszky and is edited by Alan Jaggs. All cinematography is done by Bernard Knowles and it has a run time of 89 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 947, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| weight | height | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight", "target": ["Aleksandr Prudnikov who is 185.0 (centimetres) tall currently plays for FC Amkar Perm managed by Gadzhi Gadzhiyev. He played at FC Terek Grozny's ground in Grozny.", "Aleksandr Prudnikov is currently 185 cm tall, and plays for FC Amkar Perm which is based at Grozny. He is also on the FC Terek Grozny club which is managed by Gadzhi Gadzhiyev.", "Aleksandr Prudnikov, based at Grozny, who 185 cm tall, plays for FC Terek Grozny is part of the FC Amkar Perm, where Gadzhi Gadzhiyev is a manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | height | 185.0 (centimetres)", "doc_id": 1170, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 2.0, 2.0, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2", "target": ["The Bedford Aerodrome has an operating organization that is called the MotorSport Vision. The aerodrome\u2019s runway length is 1,095, and it is made of concrete. The aerodrome is 83.2 meters above sea level, located in Thurleigh. The ICAO location identifier for Bedford Aerodrome is EGBF; the aerodrome serves the Bedford Autodrome.", "The Bedford Aerodrome sitting at an elevation of 83.2104 above sea level in Thurleigh has a runway length of 1095.0 that is made of concrete. MotorSport Vision owns the Bedford Aerodrome whose International Civil Aviation Organization number is EGBF. The aerodrome serves the Bedford Autodrome.", "MotorSport Vision operates the Bedford Aerodrome located in Thurleigh with a runway length of 1095 and serves the Bedford Autodrome. The Bedford Aerodrome ICAO identifier is EGBF and it has a runway made of concrete at an elevation of 83.2104 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 433, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Sludge_punk | genre | Sludge_metal, Sludge_metal | stylisticOrigin | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre | Sludge_metal, Sludge_metal | genre |", "target": ["Nord is an album by Year of No Light in the sludge metal genre, which originated from the hardcore punk genre.", "The stylistic origin of sludge metal, such as the Year of No Light album Nord, is hardcore punk.", "The genre of the album Nord is sludge metal, which has stylistic origins in hardcore punk."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Sludge_metal | stylisticOrigin | Hardcore_punk", "doc_id": 1298, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18 | Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18 | Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18 | Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18 | Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18 | Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02", "target": ["Before her death on February 18, 1776, Lady Anne Monson was a resident of India married to George Monson.", "Lady Anne Monson (died on February 18th, 1776) was the spouse of George Monson and resided in India for most of her life.", "Lady Anne Monson resided in India with her husband George before her death on February 2, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 1508, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | death", "target": ["Alan Shepard was born on November 18th, 1923 in New Hampshire and later died in California. Shepard was the Chief of the Astronaut Office in 1963 and was awarded the Distinguished Service Medal by the United States Navy.", "Alan Shepard was born in New Hampshire on November 18, 1923 and he served as Chief of the Astronaut Office in 1963. He was awarded the Distinguished Service Medal by the United States Navy and died in California.", "Alan Shepard was born in New Hampshire, was the Chief of the Astronaut Office in 1963, was awarded the Distinguished Service Medal in the United States Navy and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 330, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | was given the status of \"Technical Campus\" by the All_", "target": ["The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090. The Institute was founded by Kempe Gowda I and the current director is Dr. G. P. Prabhukumar. Tennis is one of the sports offered. The status of Technical Campus was given to the Institute by All India Council for Technical Education, located in Mumbai.", "The Acharya Institute of Technology was given Technical Campus status by the All India Council for Technical Education which is based in Mumbai. The institutes director is Dr. G. P. Prabhukumar and offers Tennis as a sport, it is based in Bangalore a city which was founded by Kempe Gowda I. The full address for the campus is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology was given Technical Campus status by the All India Council for Technical Education which is located in Mumbai. The institute is based in the city of Bangalore which was founded by Kempe Gowda I. The institute\u2019s director is Dr. G. P. Prabhukumar, and tennis is one of the sports the institute offers. The address of the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | sportsOffered | Tennis, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1231, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 5'9\"\nPiotr_Hallmann is a Polish-born American mathematician. He is a professor of mathematics at the University of California, Berkeley. He is also a member of the National Academy of Sciences.\nPiotr_Hallmann was born in Gdynia, Poland, on July 5, 1987. He is the son of Piotr Hallmann, a Polish-born American mathematician, and his wife, Anna. He has two older sisters, Katarzyna and Katarzyna.\nPiotr_Hallmann attended the University of Gdynia, where he received a bachelor's degree in mathematics in 2005. He then went on to earn a master's degree in mathematics in 2006 and a Ph.D. in mathematics in 2010, both from the University of California, Berkeley.\nPiotr_Hallmann's research interests include algebraic geometry, representation theory, and the theory of finite groups.\nPiotr_Hallmann is a member of the National Academy of Sciences.\nPiotr_Hallmann is a member of the American Mathematical Society.\nPiotr_Hallmann is a member of the Polish Mathematical Society.", "target": ["Piotr Hallmann's birthplace was in Gdynia, Poland on August 25th. 1987 and he is 175.26 cm tall.", "Standing at 175.26 cm, Piotr Hallmann was born in Gdynia, Poland on August 25, 1987.", "Piotr Hallmann, born in Gdynia, Poland on the 25th of August 1987, is 175.26 cm tall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | birthPlace | Gdynia,_Poland, Piotr_Hallmann | birthDate | 1987-08-25", "doc_id": 816, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | education | profession | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion | religion | interests | family | religion |", "target": ["Liselotte Grschebina, an Israeli national born on May 2nd, 1908, studied at the School of Applied Arts in Stuttgart.", "Liselotte Grschebina was born on May 2nd, 1908 and attended the school of Applied Arts in Stuttgart. She is of Israeli nationality.", "Liselotte Grschebina, whose nationality was Israeli, was born on May 2nd, 1908. Grschebina attended the school of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart", "doc_id": 1516, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | birthPlace | Stuttgart, Germany | nationality | religion | occupation | education | occupation | profession | occupation | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession", "target": ["Liselotte Grschebina, born on May 2, 1908, did her studies at the School of Applied Arts in Stuttgart.", "Liselotte Grschebina, an alumni of the School of Applied Arts in Stuttgart, was born on 1908-05-02.", "Liselotte Grschebina was born on May 2nd, 1908 and attended the school of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 425, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France | University of Burgundy | numberOfPostgraduateStudents | 9400 | France | Dijon, France", "target": ["The University of Burgundy is located in the city of Dijon and has 9400 postgraduate students.", "The University of Burgundy is located in the city of Dijon and has 9400 post-graduate students.", "The University of Burgundy in Dijon has 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | city | Dijon, University_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 1773, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf |", "target": ["Morelos, in Ciudad Ayala, is in the UTC offset -6 timezone.", "Ciudad Ayala, which has a UTC offset of -6, is part of Morelos.", "The UTC offset of Ciudad Ayala which is part of Morelos is -6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | isPartOf | Morelos", "doc_id": 61, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies", "target": ["Abraham A.Ribicoff,is from the United States,his wife is Casey Ribicoff.", "Abraham A. Ribicoff is a citizen of the United States and was married to Casey Ribicoff.", "Casey Ribicoff is the wife of Abraham A Ribicoff from the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | nationality | United_States", "doc_id": 1602, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | occupation | height | weight | education | weight | age | height | weight | eye color | hair color | eye color | eye color | hair color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color |", "target": ["Lady Anne Monson was born in Darlington, England making her nationality English.", "Lady Anne Monson was born in Darlington and was English.", "Lady Anne Monson was born in Darlington in England and was British."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 1042, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The_Two_Towers | literaryGenre | Fantasy_(genre), The", "target": ["The Two Towers is the sequel to the fantasy book, The Fellowship of the Ring.", "The Fellowship of the Ring and its follow-up, The Two Towers are both in the fantasy genre.", "The Fellowship of the Ring and the Two Towers belong to the fantasy genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers", "doc_id": 1650, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| government_council | government_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_council_c", "target": ["The government type in the city of Ciudad Ayala is council-manager.", "Ciudad Ayala uses a type of government called council-manager government.", "The government type of Ciudad Ayala is council-manager government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | governmentType | Council-manager_government", "doc_id": 715, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| NASA, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | NASA, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | NASA, Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfThe", "target": ["American Alan Shepard, who was the Chief of the Astronaut Office in 1963, and a member of the Apollo 14 crew, was awarded the Distinguished Service Medal in the United States Navy. He was born in New Hampshire on Nov 18, 1923 and died in California.", "United States citizen, Alan Shepard, who was born in New Hampshire on November 18, 1923 and died in California, served as Chief of the Astronaut Office in 1963. He also served as a crew member of Apollo 14, and was awarded the Distinguished Service Medal by the United States Navy.", "Apollo 14 crew man Alan Shepard is an American who was born in New Hampshire in 1923 and died in California. He was the Chief of the Astronaut Office in 1963 and was awarded the Distinguished Service Medal by the US Navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 747, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| release_date | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The album Bootleg Series Volume 1: The Quine Tapes was released on 10-16-2001.", "The Bootleg Series Volume I: The Quine Tapes are released in 2001-10-16.", "Bootleg Series Volume 1: The Quine Tapes was released on October, 16, 2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16", "doc_id": 1477, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | producer | John_Cox, It's_Great_to_Be_Young_(1956_film) | cinematographer | John_Cox, It's_Great_to_Be_Young_(1956_film) | editor | John_Cox, It's_Great_to_Be_Young_(1956_film) | production designer | John_Cox, It's_Great_to_Be_Young_(1956_film) | costume designer | John_Cox, It's_Great_to_Be_Young_(1956_film) | art director | John_Cox, It's_Great_to_Be_Young_(1956_film) | art director | John_Cox, It's_Great_to_Be_Young_(1956_film) | art director | John_Cox, It's_Great_to_Be_Young_(1956_film) | art director | John_Cox, It's_Great_to_Be_Young_(1956_film) | art director | John_Cox,", "target": ["It's Great to Be Young (a 1956 film directed by Cyril Frankel) is 94 minutes long. Louis Levy is the music composer for the film, while Cecil Parker had a main role in the film and Ted Willis is the writer.", "The running time of the movie It's Great to Be Young directed by Cyril Frankel, starring Cecil Parker in 1956 is 94 minutes. Ted Willis is the writer of the film and Louis Levy is the music composer.", "The 1956 film \"It's Great to Be Young\" was written by Ted Willis, starred Cecil Parker, and was directed by Cyril Frankel. \"It's Great to Be Young\" has a length of 94 minutes and its music was composed by Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 1758, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, United_States | language | English, Bootleg_Series_Volume_1:_The_Quine_Tapes | recorded", "target": ["Bootleg Series Volume 1: The Quine Tapes was recorded in St Louis, Missouri, in the United States, in English, the primary language of the country.", "The Quine Tapes were recorded in St. Louis, Missouri, United States in which the de facto national language is English.", "The Bootleg Series Volume I: The Quine Tapes was recorded in St. Louis, Missouri, in the United States where English is the spoken language."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, United_States | language | English_language, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri", "doc_id": 211, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | Hindi | Urdu | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Gujarati | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil | Telugu | Malayalam | Kannada | Oriya | Punjabi | Bengali | Tamil |", "target": ["India has reached the total population of 1,293,057,000.", "The total population of India is 1293057000.", "The total population of India is 1,293,057,000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | populationTotal | 1293057000", "doc_id": 795, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke", "target": ["Bananaman, which was created by Steve Bright, is broadcast on BBC and starred Tim Brooke-Taylor.", "Bananaman is the TV series starring Tim Brooke-Taylor. It was shown on the BBC and was created by Steve Bright.", "Bananaman broadcasted in BBC was starred by Tim Brooke-Taylor and was created by Steve Bright."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor", "doc_id": 1163, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (Ray) | Ray_Griggs (", "target": ["The movie \"Super Capers\" was directed by Ray Griggs.", "Super Capers is directed by Ray Griggs.", "Ray Griggs is the director of Super Capers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | director | Ray_Griggs_(director)", "doc_id": 80, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite food | favorite drink | favorite place | favorite activity | favorite place to visit | favorite place to go | favorite place to stay | favorite place to eat | favorite place to shop | favorite place to go out | favorite place to play | favorite place to go to | favorite place to read | favorite place to watch TV | favorite place to listen to music | favorite place to go to | favorite place to go to | favorite place to learn | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place to learn about | favorite place to go to | favorite place", "target": ["Nurhan Atasoy was born in Turkey, where he has his nationality.", "Nurhan Atasoy was born in Turkey and his nationality is also Turkish.", "Nurhan Atasoy was born in Turkey and is a Turkish citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 540, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China | is a Ph.D. student in the Department of Computer Science at the University of California, Berkeley. He is advised by Prof. David S. Cohen. His research interests include natural language processing, machine learning, and computational linguistics. He received his B.S. degree in Computer Science from Zhejiang University in 2012. He received his M.S. degree in Computer Science from the University of California, Berkeley in 2015. He is a recipient of the NSF Graduate Research Fellowship and the Google PhD Fellowship.", "target": ["Born in Zaoyang city, Hubei, Nie Haisheng participated in the Shenzhou 6 mission.", "Shenzhou 6 crew member Nie Haisheng was born in Zaoyang in Hubei province.", "Born in Zaoyang, Hubei, Nie Haisheng participated in Shenzhou 6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | mission | Shenzhou_6, Zaoyang | isPartOf | Hubei", "doc_id": 68, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cyril_Frankel | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_Benedict, Max_Benedict | edit | Max_B", "target": ["It's Great to Be Young (1956, 94 minutes) is a film edited by Max Benedict, who has been active in the film industry since 1947. The director of the movie is Cyril Frankel.", "Max Benedict, who began his career in 1947 edited It's Great to be Young, a 1956 94 minute film directed by Cyril Frankel.", "It's Great to Be Young, a 1956 film directed by Cyril Frankel, runs for 94 minutes. Max Benedict, who started working in 1947, edited the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict, Max_Benedict | activeYearsStartYear | 1947-01-01, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 549, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya", "target": ["Acharya Institute of Technology in Bangalore is affiliated to Visvesvaraya Technological University and its president is B.M. Reddy.", "B. M. Reddy is the President of the Acharya Institute of Technology, which is affiliated with Visvesvaraya Technological University and located in Bangalore.", "B. M. Reddy is the President of Acharya Institute of Technology, which is affiliated with the Visvesvaraya Technological University and located in Bangalore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | president | \"B.M. Reddy\"", "doc_id": 308, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportServed | airportS", "target": ["Located in Thurleigh, the Bedford Aerodrome, operated by MotorSport Vision, serves the Bedford Autodrome and has a runway length of 1095.", "Bedford Aerodrome, located in Thurleigh, has served the Bedford Autodrome. Its runway length is 1,095. The Bedford Aerodrome has an operating organization called the MotorSport Vision.", "The Bedford Aerodrome in Thurleigh, with a runway length of 1095.0, is operated by the MotorSport Vision organization and serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh", "doc_id": 813, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["The song Imagine by John Lennon earned the FIMI certification.", "John Lennon's \"Imagine\" has a FIMI certification.", "The John Lennon song Imagine is certified by FIMI."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | certification | FIMI", "doc_id": 1140, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight", "target": ["Aaron Turner is a post metal musician who started performing in 1995 and played with the post metal band, Twilight.", "Aaron Turner is a post metal musician who started performing in 1995 and played with the band, Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 157, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedfordshire, England, United Kingdom.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["MotorSport Vision is the operating organisation for Bedford Aerodrome. Bedford Aerodrome is located in Thurleigh and has a runway length of 1095.", "The Bedford Aerodrome in Thurleigh is operated by MotorSport Vision and its runway length is 1095.", "MotorSport Vision operates the Bedford Aerodrome in Thurleigh where the runway is 1095 long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | location | Thurleigh", "doc_id": 435, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac", "target": ["The Pontiac Rageous went into production in 1997 and ended the same year.", "The Pontiac Rageous was only produced in the year 1997.", "The Pontiac Rageous was only produced in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | productionEndYear | 1997", "doc_id": 1444, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(19", "target": ["Cyril Frankel directed the 1956 film It's Great to Be Young which runs 94 minutes and costed \u00a3282,838. The movie is starring John Mills and in Gilbert Taylor's cinematography.", "The director of the movie \"It's Great to Be Young\" was Cyril Frankel, and the cinematographer was Gilbert Taylor. John Mills had a main role in the film. The length of the movie is 94 minutes and it has taken in 282,838 pounds at the box office.", "Released in 1956, the movie It's Great to Be Young featured John Mills in the lead and Cyril Frankel as the director. Gilbert Taylor was the cinematographer for the 94-minute film, which received \u00a3282,838."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 848, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of La Crosse, Wisconsin | \"I will verbalize an abstract representation of a sentence in natural language.\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nLa Crosse, Wisconsin | leaderTitle | Mayor of La Crosse, Wisconsin | \"I will verbalize an abstract representation of a sentence in natural language.\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nLa Crosse, Wisconsin | leaderTitle | Mayor of La Crosse, Wisconsin | \"I will verbalize an abstract representation of a sentence in natural language.\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nLa Crosse, Wisconsin | leaderTitle | Mayor of La Crosse, Wisconsin | \"I will verbalize an abstract representation of a sentence in", "target": ["La Crosse, Wisconsin is governed by a mayor.", "The leader of La Crosse, Wisconsin is a Mayor.", "The leader in La Crosse is a mayor.", "Mayor is the title of the leader of La Crosse in Wisconsin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLa_Crosse,_Wisconsin | leaderTitle | Mayor", "doc_id": 1149, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".com. All rights reserved.", "target": ["Lionsgate provides digital distribution service.", "Lionsgate offers digital distribution service.", "Digital distribution is a service of Lionsgate."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | service | Digital_distribution", "doc_id": 1194, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Cambridge, England | United Kingdom | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Brandon Carter, who was born on January 1st, 1942, is a graduate from the University of Cambridge.", "Brandon Carter was born January 1, 1942, and attended the University of Cambridge.", "Brandon Carter, born on 01-01-1942, is a University of Cambridge alumnus."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge", "doc_id": 1338, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Inc.", "target": ["Tom Sizemore starred in the 98.0 minutes long movie Super Capers which was distributed by Roadside Attractions.", "Super Capers, a 98 minute film distributed by Roadside Attractions, stars Tom Sizemore.", "Tom Sizemore stars in Super Capers which was distributed by Roadside Attractions and has a duration of 98 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions", "doc_id": 473, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light_album | releaseDate | 2006-09-06,", "target": ["Nord is an album by Year of No Light, released on September 6, 2006. It was followed by the album Live at Roadburn 2008.", "The album titled Nord by Year of No Light was followed by Live at the Roadburn 2008. Nord was released on September, 6 in 2006.", "Nord is an album by Year of No Light that was released on June 9th, 2006. The band followed Nord with the album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light", "doc_id": 690, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University of Burgundy is 16800.\nThe number of undergraduate students at the University", "target": ["The University of Burgundy has 16,800 undergraduate students.", "There are 16800 undergraduate students at the University of Burgundy.", "The University of Burgundy has 16800 undergraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800", "doc_id": 299, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos,", "target": ["The governor leads Ciudad Ayala in Morelos.", "Ciudad Ayala is a part of Morelos that is led by the Governor.", "Ciudad Ayala is part of Morelos, and the Governor is one of the leaders of the state of Morelos."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | isPartOf | Morelos, Morelos | leaderTitle | Governor", "doc_id": 359, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It", "target": ["In the film It's Great to Be Young, which was filmed in 1956 and lasted 94 minutes, Cyril Frankel was the director, Gilbert Taylor was the cinematographer. The film music composer was Louis Levy, and the main role was portrayed by Cecil Parker.", "It's Great to Be Young (included in Gilbert Taylor's cinematography) debuted in 1956, was directed by Cyril Frankel. Cecil Parker starred in the 94 minute movie musically composed by Louis Levy.", "The 1956 film \"It's Great to be Young\" lasted for 94 minutes and starred Cecil Parker. The director was Cyril Frankel and the cinematographer was Gilbert Taylor. The film music was composed by Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 1521, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Olga Bondareva, born on April 27, 1937, works in the fields of Mathematics and Economics.", "Olga Bondareva, an economist whose birth date is April 27, 1937, is one of the known professionals in the field of Mathematics.", "Olga Bondareva's professional fields are mathematics and Economics and was born on April 27, 1937."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Economics", "doc_id": 1293, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["Year of No Light is both the artist and the producer of the album Nord. The album was released on the label Crucial Blast. Year of No Light's next album was Live at Roadburn 2008.", "The album Nord by the Year of No Light, who also produced it was released by the record label Crucial blast. The album Nord was followed with the album Live at Roadburn 2008.", "Record label Crucial Blast's band Year of No Light produced the album Nord, which was then followed by Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 151, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| length | 1.8 (centimetres) | width | 1.8 (centimetres) | height | 1.8 (centimetres) | text | \"The first atomic bomb was dropped on Hiroshima, Japan, on August 6, 1945. The second atomic bomb was dropped on Nagasaki, Japan, on August 9, 1945. The third atomic bomb was dropped on the Japanese city of Hiroshima on August 6, 1945. The fourth atomic bomb was dropped on the Japanese city of Nagasaki on August 9, 1945. The fifth atomic bomb was dropped on the Japanese city of Hiroshima on August 6, 1945. The sixth atomic bomb was dropped on the Japanese city of Nagasaki on August 9, 1945. The seventh atomic bomb was dropped on the Japanese city of Hiroshima on August 6, 1945. The eighth atomic bomb was dropped on the Japanese city of Nagasaki on August 9, 1945. The ninth atomic bomb was dropped on the Japanese city of Hiroshima on August 9, 1945. The tenth atomic bomb was dropped on the Japanese city of Nagasaki on August 9, 1945. The eleventh atomic bomb was dropped on the Japanese city of Hiroshima on August 9, 1945. The twelfth atomic bomb was dropped on the Japanese city", "target": ["The 17068.8 millimeter long ALCO RS-3 was produced between May 1950 and August 1956.", "The 17068.8 millimetres long ALCO RS-3 was produced from May 1950 to August 1956.", "The ALCO RS-3, produced between May 1950 and August 1956, was 17068.8 millimetres long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 949, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963,", "target": ["Alan Shepard is an American who was born on November 18, 1923 in New Hampshire, went to school at NWC and graduated with an MA in 1957, was selected by NASA in 1959, was the Chief of the Astronaut Office in 1963 and died in California.", "Alan Shepard, a United States native, who served as Chief of the Astronaut Office in 1963, graduated from NWC in 1957 with an M.A. He was selected by NASA in 1959. Shepard was born in New Hampshire on November 18, 1923 and died in California.", "Alan Shepard was born on November 18th, 1923, in New Hampshire. His nationality is American. He graduated from NWC with an M.A in 1957. NASA selected him in 1959, and he was the chief of Astronaut office in 1963. He died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 745, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf |", "target": ["The population of the Morelos metropolitan city of Ciudad Ayala (leader: City Manager; government type: council-manager government) is 1,777,539, resulting in a population density of 1604.0.", "Ciudad Ayala is a metropolitan city, which is part of Morelos, that has population of 1777539 and population density is 1604. The government type in the city of Ciudad Ayala is council-manager where the City Manager is the leader.", "Ciudad Ayala is a city and is part of Morelos. The population of the metropolitan area of the city is 1,777,539 and the population density is 1604.0. The city\u2019s government type is a council-manager government, and one of the leaders is the city manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | isPartOf | Morelos", "doc_id": 835, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Reggae, Imagine_(John_Lennon_song) | followedBy | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show", "target": ["The Train song \u201cMermaid\u201d, which is an example of the reggae genre, was followed by the band\u2019s cover of \u201cImagine\u201d by John Lennon.", "The song Mermaid by Train a reggae genre, was followed by the release of Imagine by John Lennon performed by Train.", "The Train song Mermaid, which is written in the reggae music genre, is followed by the song Imagine by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 1171, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young", "target": ["Released in 1956, the movie It's Great to be Young lasted for 94 minutes and grossed \u00a3282,838. The director was Cyril Frankel and Cecil Parker together with John Mills had main roles, whilst Gilbert Taylor was the cinematographer.", "The 1956 film \"It's Great to Be Young\" (1956) stars John Mills and Cecil Parker for 94 minutes in Gilbert Taylor's cinematography. Cyril Frankel directed the film, which cost $282,838.", "It's Great to be young is a 1956 film that is 94 mites long and took in 282,838 pounds at the box office. It was directed by Cyril Frankel and the cinematographer was Gilbert Taylor. The film starred Cecil Parker and John Mills had a main role."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 1451, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina was born in Karlsruhe and died in Israel on June 14th, 1994.", "Liselotte Grschebina was born in Karlsruhe and died on June 14th, 1994 in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel", "doc_id": 248, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.R.R. Tolkien | The_Two_Towers | J.", "target": ["J. R. R. Tolkien wrote The Two Towers.", "The author of the Two Towers is J.R.R Tolkien.", "J.R.R.Tolkien wrote The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Two_Towers | author | J._R._R._Tolkien", "doc_id": 1528, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 6' 3\"\nSuper_Capers | starring | Justin_Whalin, Justin_Whalin | birthPlace | San_Francisco, Super_Capers | starring | Michael_Rooker, Michael_Rooker | birthDate | 1955-04-06 | height | 6' 3\"\nSuper_Capers | starring | Justin_Whalin, Justin_Whalin | birthPlace | San_Francisco, Super_Capers | starring | Michael_Rooker, Michael_Rooker | birthDate | 1955-04-06 | height | 6' 3\"\nSuper_Capers | starring | Justin_Whalin, Justin_Whalin | birthPlace | San_Francisco, Super_Capers | starring | Michael_Rooker, Michael_Rooker | birthDate | 1955-04-06 | height | 6' 3\"\nSuper_Capers | starring | Justin_Whalin, Justin_Whalin | birthPlace | San_Francisco, Super_Capers | starring | Michael_Rooker, Michael_Rooker | birthDate | 1955-04-06 | height | 6' 3\"\nSuper_", "target": ["Super Capers stars the actors Justin Whalin and Michael Rooker. Whalin was born in San Francisco and while the birth location of Rooker is unknown, he was born on April 6th, 1955.", "Justin Whalin, born in San Francisco, stars in Super Capers. Michael Rooker, born on 4/6/1955, also has a role in the movie.", "Super Capers is a film starring the actors Justin Whalin and Michael Rooker. While Whalin was born in San Francisco, Rooker was born on the date of April 6th, 1965."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Justin_Whalin, Justin_Whalin | birthPlace | San_Francisco, Super_Capers | starring | Michael_Rooker, Michael_Rooker | birthDate | 1955-04-06", "doc_id": 322, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| dance | dancehall | reggae | rastafari | rastafarian | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | rastafari | r", "target": ["Hip hop music is a derivative of reggae.", "Hip hop music grew out of reggae."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nReggae | derivative | Hip_hop_music", "doc_id": 1037, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", MA, USA, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band, Aaron_Turner | band,", "target": ["Aaron Turner is a singer who was born in Boston. His music is post-metal, and he played with the band twilight.", "Aaron Turner, originally from Boston, sings for a living as a post-metal music performer with the band Twilight.", "Aaron Turner (originally from Boston) sings post-metal music for a living and played with the band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | origin | Boston", "doc_id": 1739, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | cinematographer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | cinematographer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory", "target": ["The HBO film Death on a Factory Farm running at 83 minutes is produced and directed by Sarah Teale. The music is composed by Jamie Lawrence.", "HBO\u2019s release, Death on a Factory Farm, was directed and produced by Sarah Teale. Jamie Lawrence wrote music for the 83 minute long film.", "\"Death on a Factory Farm\" is a film that was produced and directed by Sarah Teale. Jamie Lawrence was the music composer. The film was broadcast by HBO and lasts 83 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 281, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.", "target": ["English Without Tears is 89 minutes long.", "English Without Tears is a film with a running time of 89 minutes.", "The duration of the movie \u00b4English Without Tears\u00b4 is 89 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0", "doc_id": 1202, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Inst", "target": ["Acharya Institute of Technology was given the 'Technical Campus' status by All India Council for Technical Education located in Mumbai which is affiliated with the Visvesvaraya Technological University. Acharya Institute of Technology's director is Dr. G. P. Prabhukumar which is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, India.", "The All India Council for Technical Education in Mumbai proudly bestowed its Technical Campus status to the Acharya Institute of Technology, directed by Dr. G. Prabhukumar. This institute is affiliated with the Visvesvaraya Technological University, and located at the campus address of Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, India.", "Located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, the Acharya Institute of Technology is in India and was granted Technical Campus status by the Mumbai based All India Council for Technical Education. Its director is Dr. G. P. Prabhukumar and it is affiliated with Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1499, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager | FC_Amkar_Perm | manager", "target": ["Aleksandr Prudnikov, who was born on Feb 24, 1989 and stands 185 cm tall, plays for FC Amkar Perm. Gadzhi Gadzhiyev is a manager of the club.", "Aleksandr Prudnikov was born on February 24th, 1989 and stands at a height of 185.0. He plays for the FC Amkar Perm Football Club, managed by Gadzhi Gadzhiyev.", "Aleksandr Prudnikov's, born 1989-02-24, is 185 cm tall. He plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | birthDate | 1989-02-24, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev", "doc_id": 642, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| IMDb | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com/name/nm0000539/ | http://www.imdb.com", "target": ["McVeagh of the South Seas with IMDb ID 0004319 is written by Harry Carey (actor, born in 1878).", "The film McVeagh of the South Seas has been written by Harry Carey, who was born in 1878, and has an IMDb id of 0004319.", "'McVeagh of the South Seas' was written by Harry Carey and is registered in IMDb with the ID 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 718, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense club has 17000 members and played in the Campeonato Brasileiro S\u00e9rie C league in 2015 based in Brazil. The Agremiacao Sportiva Arapiraquense's ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca.", "Agremiacao Sportiva Arapiraquense has 17000 members and they played in the Campeonato Brasileiro S\u00e9rie C league in the 2015 season from Brazil. The Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 144, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["Darlington, population 106,000, was the birthplace of Lady Anne Monson.", "The town of Darlington, which was the birth place of Lady Anne Monson, is home to one hundred and six thousand people.", "Darlington, a city with a population of 106,000, was the birthplace of Lady Anne Monson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Darlington | populationTotal | 106000", "doc_id": 684, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the", "target": ["McVeagh of the South Seas (IMDb ID 0004319) is a film starring Harry Carey and was directed by Harry Carey and Cyril Bruce.", "'McVeagh of the South Seas' (a film registered in IMDb, ID 0004319) was directed by Cyril Bruce and Harry Carey, an actor born in 1878.", "The movie McVeagh of the South Seas' IMDb id is 0004319. It was directed by Cyril Bruce and starred actor Harry Carey who was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878)", "doc_id": 170, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | height |", "target": ["Liselotte Grschebina was an Israeli who attended the school of Applied Arts in Stuttgart. She was born in Karlsruhe, Germany. Israel's national language is Modern Hebrew.", "Liselotte Grschebina is an Israeli national who did her studies at the School of Applied Arts in Stuttgart and was born in Karlsruhe, which is in Germany unlike Israel whose language is Modern Hebrew.", "Liselotte Grschebina was born in Karlsruhe which is located in Germany, has Israeli nationality (the language in Israel is Modern Hebrew), and studied at the School of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Karlsruhe | country | Germany, Israel | language | Modern_Hebrew", "doc_id": 29, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| timezone.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do", "target": ["Ciudad Ayala is in the Pacific Standard Time Zone.", "The timezone of Ciudad Ayala is the Pacific Standard Time Zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 541, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater |", "target": ["Contributor to the no-hair theorem and developer of the Carter Constant, Brandon Carter, works in the field of General Relativity. He was born in England on January, 1 1942. He graduated from the University of Cambridge where he was under the doctoral advisement of Dennis William Sciama.", "Brandon Carter ,a University of Cambridge graduate is a professional in the field of general relativity, known for Carter constant and No-hair theorem had Dennis William Sciama as his doctoral advisor. He was born on 01-01-1942 in England.", "Brandon Carter a physicist from University of Cambridge with his professional field as General Relativity is known for Carter constant and for proving the no-hair theorem. He was born in England on January 1, 1942. His doctoral advisor was Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge", "doc_id": 836, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_", "target": ["English Without Tears, an 89 minute long film released on 1944-07-28, was directed by Harold French. The editing was done by Alan Jaggs, and the composing was done by Nicholas Brodszky.", "Harold French and directed the 89 minutes film English Without Tears which was edited by Alan Jaggs and released on July 28, 1944. The songs of the movies was composed by Nicholas Brodszky.", "The film English Without Tears (release date 7-28-1944) is directed by Harold French. The music is composed by Nicholas Brodszky with the editing done by Alan Jaggs. The film duration is 89 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs", "doc_id": 1250, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard", "target": ["The American born Alan Shepard was a test pilot selected in 1959 by NASA, who was raised in New Hampshire. He was born in that state in November of 1923 and died in California.", "Born in New Hampshire in November of 1923, US national Alan Shepard was a test pilot selected by NASA in 1959. He died in the American state of California.", "Alan Shepard was born November 18, 1923, in New Hampshire, U.S.A. He served as a test pilot and was selected by NASA in 1959. Shepard died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot", "doc_id": 428, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | followedBy | The_Lord_of_the_Rings, The_Fellowship_of_the_Ring | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_Rings, The_Lord_of_the_Rings | followedBy | The_Lord_of_the_", "target": ["The Fellowship of the Ring was released after The Hobbit and before The Two Towers. George Allen & Unwin published the Fellowship of the Ring which belongs to the fantasy genre.", "The Fellowship of the Ring belongs to the fantasy genre, followed by The Two Towers. George Allen & Unwin published it and Hobbit came before it.", "The Hobbit, The Fellowship of the Ring and The Two Towers (in the chronological order) are a series of books in the fantasy genre published by George Allen & Unwin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 410, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | height, weight, hair color, eye color, weight, age, education, family, religion, occupation, hobbies, interests, favorite things, favorite music, favorite movies, favorite books, favorite TV shows, favorite sports, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite sports, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite books, favorite music, favorite movies, favorite TV shows, favorite books, favorite music, favorite", "target": ["Abraham A. Ribicoff\u2019s birthplace is the USA where he worked for the United States Secretary of Health, Education, and Welfare office, in a country where African Americans are a national ethnic group. His spouse is Ruth Ribicoff.", "At one time, the United States Secretary of Health, Education, and Welfare was a man called Abraham A. Ribicoff who was born in the USA where African Americans are an ethnic group. Abraham was married to Ruth Ribicoff.", "Abraham A. Ribicoff worked as the United States Secretary of Health, Education and Welfare and was born in the United States where African Americans are an ethnic group. His wife is Ruth Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\", United_States | ethnicGroup | African_Americans", "doc_id": 1251, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"College of William & Mary\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | owner | College_of_William_&_Mary | \"College of William & Mary\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | owner | College_of_William_&_Mary | \"College of William & Mary\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller", "target": ["The College of William and Mary is the owner of the Alan B. Miller Hall, whose address is \"101 Ukrop Way\".", "The college of William and Mary is the owner of the Alan B. Miller Hall, 101 Ukrop Way.", "Alan B. Miller Hall (owned by the College of William and Mary) is at 101 Ukrop Way."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1078, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | education | Leningrad,_USSR.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | hobbies | Leningrad,_USSR.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | interests | Leningrad,_USSR.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | travel | Leningrad,_", "target": ["Olga Bondareva was born in Leningrad, USSR.", "Olga Bondareva's original birthplace was in Leningrad, part of the USSR."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR", "doc_id": 804, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", optimization, and machine learning.", "target": ["Influenced by Andrzej Piotr Ruszczy\u0144ski, Darinka Dentcheva became a professional in the field of mathematical optimization.", "Darinka Dentcheva was into field and people such as Mathematical optimization and was influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva, a mathematician working in the field of mathematical optimization, developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | professionalField | Mathematical_optimization", "doc_id": 1474, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | altitudeAboveTheSeaLevel | 6,000 feet, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"", "target": ["Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in Alcobendas and is operated by ENAIRE in which is in Madrid. The runway length of Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is 4,349 and is named 14R/32L, Adolfo Su\u00e1rez Madrid-Barajas Airport also has an elevation of 610.0 metres above sea level and a runway length of 4,349.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas (operated by ENAIRE in Madrid), located 610 metres above sea level has a runway called 14R/32L that is 4,349 metres long.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas, 610 meters above sea level. This airport is operated by ENAIRE, which is located in Madrid. The runway is named 14R/32L and has a length of 4,349 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 244, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| German_Empire, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupationDegree | University of Vienna, Liselotte_Grschebina | occupation", "target": ["Liselotte Grschebina of Israeli nationality (pop. density of Israel - 387.63) is a photographer born within the German Empire that was founded on the first of January 1871.", "Liselotte Grschebina is a photographer and Israeli national who was born in the German Empire which was founded on January 1, 1871 and the population density of Israel is 387.63 people per square kilometre of land area.", "Liselotte Grschebina was an Israeli professional photographer who was born in the German Empire which was founded on January 1, 1871 and has a population density of 387.63 people per square kilometre of land area."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Israel | populationDensity | 387.63, German_Empire | foundingDate | 1871-01-01, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 441, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density", "target": ["Ciudad Ayala is a metropolis in Morelos, part of Mexico. It has total population of 1,777,539 making the density 1,604. It is 1,147 m above sea level in the Pacific Daylight time zone.", "Ciudad Ayala is a part of Morelos and located in the country of Mexico. The population density of Ciudad Ayala is 1604.0 and the population of the metropolitan area if 1,777,539. The elevation above the sea level for Ciudad Ayala is 1147.0 and the time zone is Pacific Daylight Time.", "Ciudad Ayala is part of Morelos, located in the country of Mexico, with a population density of 1604.0 and a population of the metropolitan area of 1,777,539. Its elevation above the sea level is 1147.0. Ciudad Ayala is in the PDT time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 1376, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | zip | city | state | zip | city | state | zip | city | state | zip | city | state | zip | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state", "target": ["Alan B. Miller Hall, at 101 Ukrop Way, was designed by Robert A.M. Stern and was completed on 01/06/2009. The building is in the USA and is currently occupied by The Mason School of Business.", "Alan B. Miller Hall, located at 101 Ukrop Way, was designed by architect Robert A.M. Stern and was completed on June 1st, 2009. Its current tenant is the Mason School of Business, located in the United States.", "The Mason School of Business (located in the United States) are the current tenants of Alan B Miller Hall. It was completed on 1 June 2009. The address is 101 Ukrop Way, and Robert A M Stern was its architect."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Mason_School_of_Business | country | United_States", "doc_id": 309, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["The English-language film, Super Capers, was edited by Stacy Katzman, and stars Michael Rooker and Tom Sizemore.", "Super Capers is an English-language movie that stars Michael Rooker and Tom Sizemore. It was edited by Stacy Katzman.", "Super Capers is an English-language movie starring Michael Rooker and Tom Sizemore. It was edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language", "doc_id": 743, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a comedy about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a group of friends who are trying to get a job at a local newspaper. The film is about the struggles of the characters to get a job and the obstacles they face.\nThe film is about a", "target": ["Super Capers, a film written by Ray Griggs, is 98 minutes long. Danielle Harris was one of the stars of the movie.", "The film Super Capers is written by Ray Griggs and stars Danielle Harris. The film's running time is 98 minutes.", "The 98.0 minute film,Super Capers starring Danielle Harris was written by the director Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Danielle_Harris, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | runtime | 98.0", "doc_id": 121, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC+5:00, Ciudad_Ayala | latitudes: -0.0, -0.1, -0.1, Ciudad_Ayala | longitudes: -0.0, -0.1, Ciudad_Ayala | altitude above sea level | 1147.0, Ciudad_Ayala | latitude: -0.0, -0.1, Ciudad_Ayala | longitude: -0.0, -0.1, Ciudad_Ayala | altitude above sea level | 1147.0, Ciudad_Ayala | longitude: -0.0, -0.1, Ciudad_Ayala | altitude above sea level | 1147.0, Ciudad_Ayala | latitudes: -0.0, -0.1, -0.1, Ciudad_Ayala | longitudes: -0.0, -0.1, Ciudad_Ayala | altitude above sea level | 1147.0, Ciudad_Ayala | longitude: -0.0, -0.1, Ciudad_Ayala", "target": ["Ciudad Ayala is in the Morelos part of Mexico. One of the leaders is the City Manager. It is 1147.0 m above sea level in UTC -6 making it part of PDT time zone.", "Ciudad Ayala is a city located within Morelos in the country of Mexico. Ciudad Ayala is 1147m above sea level. It also has a UTC offset of -6 and is located in the Pacific Daylight time zone. The leader title for Ciudad Ayala is City Manager.", "The City Manager led Ciudad Ayala is in the Morelos part of Mexico. It is 1147.0 m above sea level in UTC offset -6. It is in time zone Pacific Daylight Time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 1575, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | city", "target": ["Serving the Bedford Autodrome area, Bedford Aerodrome is located in Thurleigh, with an elevation of 83.2104 above sea level, a runway length of 1095.0 and is operated by MotorSport Vision.", "MotorSport Vision operates the Bedford Aerodrome which is in Thurleigh and serves the Bedford Autodrome. The runway length at the Bedford Aerodrome is 1095 and it is 83.2104 meters above sea level.", "At 83.2 metres above sea level and with a runway distance of 1095 metres, Bedford Aerodrome is located in Thurleigh. It has an operating organisation called MotorSport Vision and serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 853, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music", "target": ["Take it Off is from the genre of noise rock.", "Take It Off! is an EP in the noise rock genre.", "Take It Off! is in the noise rock genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTake_It_Off! | genre | Noise_rock", "doc_id": 196, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt", "target": ["Darinka Dentcheva, a Humboldt University graduate, is a mathematician working in the field of mathematical optimization.", "Darinka Dentcheva is a professional in the field of mathematical optimization who went to Humboldt University.", "Humboldt University is the alma mater of Darinka Dentcheva, whose professional field is Mathematical optimization."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 101, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence | language | Turkish_language, Nurhan_Atasoy | residence |", "target": ["Nurhan Atasoy resides in Istanbul in Turkey where the primary language is Turkish.", "Nurhan Atasoy lives in Istanbul, Turkey, where the official language is Turkish.", "Formerly a resident of Istanbul, Nurhan Atasoy speaks the Turkish language and currently resides in Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Turkey | language | Turkish_language, Nurhan_Atasoy | residence | Turkey", "doc_id": 1667, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China.\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is: \"The sky is blue.\"\nThe sentence is:", "target": ["Zaoyang is part of Xiangyang.", "Zaoyang is in Xiangyang."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nZaoyang | isPartOf | Xiangyang", "doc_id": 1065, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_Two_Towers, The_Fellowship_of_the_Ring | The_", "target": ["The Fellowship of the Ring and The Two Towers were written by J.R.R. Tolkien.", "J.R.R. Tolkien\u2019s The Fellowship of the Ring continues the storyline of The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 896, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the", "target": ["Darinka Dentcheva is a citizen of the United States.", "Darinka Dentcheva is a United states Citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States", "doc_id": 282, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad", "target": ["Ciudad Ayala is a metropolitan city which has population of 1,777,539 with its population density of 1604.0 and it falls into UTC offset -6 time zone. One of the leaders of Ciudad Ayala is the City Manager which uses council-manager government.", "The city Ciudad Ayala has population 1,777,539 making the density 1604.0. One of the leaders in the council-manager government is the City Manager. It is in UTC offset -6.", "The city Ciudad Ayala has population 1777539 making the density 1604. It is a council-managed government led by a City Manager. It is in UTC offset -6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126", "doc_id": 36, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraqu", "target": ["\"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" is the full name of the Agremia\u00e7\u00e3o Sportiva Arapiraquense club, which has 17000 members. They play in the Campeonato Brasileiro S\u00e9rie C league on their ground Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca. The championship is based in Brazil and Vila Nova Futebol Clube are the champions.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca is located in Arapiraca and is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense (full name \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"). The club has 17000 members and competes in the Brazilian Campeonato Brasileiro S\u00e9rie C, which the team Vila Nova Futebol Clube have been champions of."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1047, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Turkic | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic languages | Turkic", "target": ["Turk is the demonym for residents of Turkey.", "An inhabitant of Turkey is called a Turk.", "The demonym for people who live in Turkey is \"Turk\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | demonym | Turk", "doc_id": 120, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | zip | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country | city | state | country | country", "target": ["Construction on Alan B Miller Hall began on March 30th, 2007. The building was designed by Robert A. M. Stern. Alan B Miller Hall is located on 101 Ukrop Way in Williamsburg, Virginia, United States. The current tenant is the Mason School of Business.", "The construction of Alan B. Miller Hall began on March 30th, 2007. Robert A. M. Stern designed the building. Alan B. Miller Hall is located at 101 Ukrop Way, Williamsburg, Virginia, United States and the current tenant is the Mason School of Business/.", "The Alan B. Miller Hall, which is located at 101 Ukrop Way in Williamsburg, Virginia, USA, was designed by Robert A.M. Stern and began construction on the 30th of March 2007. The Mason School of Business are the current residents of the Hall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Mason_School_of_Business | country | United_States", "doc_id": 106, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["Construction on Alan B. Miller Hall, which was designed by Robert A. M. Stern, began on March 30th, 2007. The building is located at 101 Ukrop Way and is owned by the College of William and Mary. The Mason School of Business is the Alan B. Miller Hall's current tenant.", "The construction of Alan B. Miller Hall started on March 30th, 2007. Robert A. M. Stern is the architect of the building. Alan B. Miller Hall is located at 101 Ukrop Way, and the current tenant is the Mason School of Business. The College of William and Mary owns the Hall.", "Based at 101 Ukrop Way and designed by Robert AM Stern, the Alan B Miller Hall is owned by the College of William and Mary. Construction started on March, 30 2007 and the building currently counts the Mason School of Business as tenants."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | tenant | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 951, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument, Brandon_Carter | birthDate | 1942-", "target": ["Brandon Carter was born on January 1st, 1942, in England. He graduated from the University of Cambridge, where his doctoral advisor was Dennis William Sciama. Carter is know for his Doomsday argument and for his work on the Anthropic Principle.", "Born in England on the first day of 1942, Brandon Carter is known for both the Anthropic principle and the Doomsday argument. He studied at Cambridge and his doctoral advisor was Dennis William Sciama.", "Brandon Carter, born on 01-01-1942 in England, is well known for Anthropic principle theory and with the Doomsday argument. His alma mater is the University of Cambridge and his doctoral advisor is Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | knownFor | Anthropic_principle, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument", "doc_id": 1653, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music", "target": ["Though associated with Jwaydan Moyine, trance music was the genre of choice for Andrew Rayel.", "Andrew Rayel, who is associated with the musician Jwaydan Moyine, has performed the genre of Trance music.", "Andrew Rayel is a Trance musician associated with musician Jwaydan Moyine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | Jwaydan_Moyine", "doc_id": 1547, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | nationality | Germany, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | birthPlace | Germany, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina was born on May 2,1908 in Karlsruhe and he died on June 14,1994 in Israel , he born in the German Empire, he is an Israeli national and professional photographer.", "Liselotte Grschebina was born in Karlsruhe, in the German Empire, on May 2nd, 1908 and died in Israel on June 14th, 1994. She was a professional photographer and an Israeli national.", "Liselotte Grschebina was born in Karlsruhe, in the German Empire, on May 2nd, 1908 and died in Israel on June 14th, 1994. She was a photographer and an Israeli national."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 450, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "s | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts | Desserts |", "target": ["The dessert, Binignit, comes from the Philippines.", "The binignit dish, a type of dessert, can be found in the Philippines.", "Binignit is a dessert that comes from the Philippines."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBinignit | country | Philippines, Binignit | course | Dessert", "doc_id": 547, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Nie Haisheng was born in Hubei.", "Nie Haisheng was born in Hubei Province.", "The birthplace of Nie Haisheng is Hubei."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei", "doc_id": 99, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | writer |", "target": ["English Without Tears was written by Anatole de Grunwald and Terence Rattigan.", "Anatole de Grunwald and Terence Rattigan wrote English Without Tears.", "\"English Without Tears\" was written by Anatole de Grunwald and Terence Rattigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | writer | Terence_Rattigan", "doc_id": 452, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfPost", "target": ["The University of Burgundy has 9400 post-graduate students and employs 2900 staff members.", "The University of Burgundy has 9400 postgraduate students attending and employs 2900 staff members.", "The University of Burgundy has 2900 staff members and 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 1280, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The Alan B Miller Hall, which is built in a Georgian style, is located in Virginia and is owned by The College of William and Mary. The building is currently occupied by The Mason School of Business and can be found at 101 Ukrop Way. It was designed by Robert A.M. Stern and began construction on the 30th of March 2007.", "The address of the Robert A M Stern designed building, the Alan B. Miller Hall, is 101 Ukrop Way in Virginia. They started to build the Georgian style hall on 30/03/2007 and it is now owned by The College of William and Mary with the current tenants being The Mason School of Business.", "The Alan B. Miller Hall at 101 Ukrop Way, Virginia, was designed in the Georgian style by Robert A.M. Stern. The College of William and Mary is the owner of the building which started construction on 30/03/2007. It currently houses The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 237, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek", "target": ["Aleksandr Prudnikov was born on February 24, 1989 and he currently plays for FC Amkar Perm, and previously played for FC Terek Grozny which is located in Grozny and youth FC Spartak Moscow.", "Aleksandr Prudnikov was born on February 24, 1989 and plays for the FC Amkar Perm and is in the FC Terek Grozny club which is based at Grozny. He is also a member of the youth side of FC Spartak Moscow.", "Aleksandr Prudnikov was born on February 24, 1989 and played for FC Spartak Moscow's youth team. He now plays for FC Terek Grozny, located in Grozny, and his current club is FC Amkar Perm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow", "doc_id": 1320, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University | Russia | Bondareva\u2013Shapley_the", "target": ["Olga Bondareva studied at Leningrad State University, where she was known for the Bondareva-Shapley theorem.", "Olga Bondareva, a graduate of Leningrad State University is known for the Bondareva-Shapley theorem.", "Olga Bondareva, whose alma mater is Leningrad State University, is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 402, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Hobbit | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The_Lord_of_the_Rings | The", "target": ["The Hobbit is a book followed by Lord of the Rings.", "The Hobbit is followed by The Lord of the Rings."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Hobbit | followedBy | The_Lord_of_the_Rings", "doc_id": 419, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_", "target": ["Agremiacao Sportiva Arapiraquense has 17000 members and play in the Campeonato Brasileiro Serie C league. The champions of the league have been Vila Nova Futebol Clube.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and play in the Campeonato Brasileiro S\u00e9rie C league, which Vila Nova Futebol Clube are the champions of.", "Agremiacao Sportiva Arapiraquense has 17000 members and plays in the Campeonato Brasileiro Serie C league of which the Vila Nova Futebol Clube were champions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 78, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| metal | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metal", "target": ["Sludge metal has a variety called southern sludge.", "Southern sludge is a subgenre of sludge metal.", "Southern sludge is a musical subgenre of sludge metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSludge_metal | musicSubgenre | Southern_sludge", "doc_id": 108, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The College of William and Mary is the owner of the Alan B. Miller Hall at 101 Ukrop Way, which began construction on the 30th of March, 2007. The building was designed by Robert A M Stern and was completed on the 1st of June 2009. The Mason School of Business are the current tenants.", "The address of the Alan B. Miller Hall, which was designed by architect Robert A.M. Stern, is \"101 Ukrop Way\". The Mason School of Business are the current tenants of the building which began construction on the 30th of March 2007 and was completed on June 1st, 2009. The College of William and Mary is its current owner..", "The College of William and Mary is the owner of the Alan B. Miller Hall at 101 Ukrop Way, which was designed by Robert A.M. Stern. The current tenants of the building are The Mason School of Business and the building began construction on the 30th of March 2007. The hall was completed on the 1st of June 2009."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 165, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I", "target": ["McVeagh of the South Seas was distributed by Alliance Films Corporation.", "McVeagh of the South Seas is a film distributed by Alliance Films Corporation.", "Alliance Films Corporation is the distributor for the film McVeagh of the South Seas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation", "doc_id": 930, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | country | Mexico, Ciudad_Ayala", "target": ["Ciudad Ayala is a city which is located 1147m above sea level and has a UTC offset of -6. Ciudad Ayala is located in Mexico and has a leader called the Governator.", "Ciudad Ayala ruled by governator is in the country of Mexico with offset of -6 as well as sea level of 1147.0.", "Ciudad Ayala is located in Mexico, with a UTC offset -6. The city has an elevation of 1147.0 above sea level and its leader is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0", "doc_id": 60, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Graco_Ram\u00edrez | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos, Morelos | Morelos", "target": ["Graco Ramirez leads Ciudad Ayala in Morelos.", "Ciudad Ayala is part of Morelos and Graco Ram\u00edrez is a leader.", "Ciudad Ayala is a part of Morelos, which Graco Ram\u00edrez is a leading official of."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | isPartOf | Morelos, Morelos | leader | Graco_Ram\u00edrez", "doc_id": 95, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the", "target": ["The location of Bedford Aerodrome is Thurleigh and it has a runway whose length is 1095.", "The Bedford Aerodrome is located in Thurleigh and it has a runway with the length of 1095.0.", "The location of Bedford Aerodrome is Thurleigh which has a runway length of 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | location | Thurleigh", "doc_id": 996, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Commonwealth University, Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTen", "target": ["The construction of Alan B. Miller Hall lasted from March 30th, 2007 to June 1st, 2009. Robert A. M. Stern is the architect of the building. Alan B. Miller Hall is located at 101 Ukrop Way, Virginia, and the current tenant is the Mason School of Business.", "Robert A M Stern is the architect responsible for designing the Alan B. Miller Hall at 101 Ukrop Way in Virginia. Construction started on the building on the 30th of March, 2007 and was completed on the 1st of June, 2009. The Mason School of Business are the current occupants of the hall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia", "doc_id": 270, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_Bersatu | Parti_Pesaka_", "target": ["Abdul Taib Mahmud is a member of the Parti Pesaka Bumiputera Bersatu and lives in Sarawak.", "Parti Pesaka Bumiputera Bersatu member, Abdul Taib Mahmud lives in Sarawak.", "Abdul Taib Mahmud, a member of the Parti Pesaka Bumiputera Bersatu party, lives in Sarawak."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbdul_Taib_Mahmud | residence | Sarawak, Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumiputera_Bersatu", "doc_id": 1308, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_", "target": ["It's Great to be Young is a 1956 film starring Cecil Parker and John Mills. Mills was married to Aileen Raymond and Mary Hayley Bell.", "It's Great to be Young is a film starring John Mills and Cecil Parker that was released in 1956. Mills was married to Mary Hayley Bell and Aileen Raymond.", "John Mills and Cecil Parker star in the movie It's Great to Be Young. Mills was married to Mary Hayley Bell and Aileen Raymond."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, John_Mills | spouse | Aileen_Raymond, John_Mills | spouse | Mary_Hayley_Bell, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 1515, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 5'9\"\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13 | height | 5'9\"\nNie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13 | height | 5'9\"\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13 | height | 5'9\"\nNie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13 | height | 5'9\"\nNie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality", "target": ["Nie Haisheng was born in Zaoyang, in the Hubei province of the People's Republic of China, on October 13th, 1964. He was part of the Shenzhou 6 mission and the Shenzhou 10 mission.", "Nie Haisheng is from the People's Republic of China, was born on October 13, 1964 in Zaoyang, Hubei, was part of Shenzhou 10 mission and took part in the Shenzhou 6 mission.", "Nie Haisheng was born in Zaoyang in Hubei Province, in the People's Republic of China, on October 13, 1964. He was a crew member on Shenzhou 6 and he also took part in the Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 411, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| father | mother | brother | sister | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother | father | mother", "target": ["Casey Ribicoff was the wife of citizen of the United States, Abraham A. Ribicoff.", "Abraham A. Ribicoff, an American, is the husband of Casey Ribicoff.", "Abraham A. Ribicoff, husband of Casey Ribicoff, was a citizen of the USA."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | nationality | American", "doc_id": 152, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| USA | 2018 | 1 hr.\nThe film is about a man who is trying to get his wife to leave him. He is trying to get her to leave him because he is not happy with her. He is trying to get her to leave him because he is not happy with her.\nThe film is about a man who is trying to get his wife to leave him. He is trying to get her to leave him because he is not happy with her. He is trying to get her to leave him because he is not happy with her.\nThe film is about a man who is trying to get his wife to leave him. He is trying to get her to leave him because he is not happy with her. He is trying to get her to leave him because he is not happy with her.\nThe film is about a man who is trying to get his wife to leave him. He is trying to get her to leave him because he is not happy with her. He is trying to get her to leave him because he is not happy with her.\nThe film is about a man who is trying to get his wife to leave him. He is trying to get her to leave him because he is not happy with her", "target": ["Tom Simon directed the film 'Death on a Factory Farm,' which was broadcasted by HBO.", "Tom Simon is the director of Death on a Factory Farm, which was released by HBO.", "\"Death on a Factory Farm\" was directed by Tom Simon and was broadcasted by HBO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO", "doc_id": 409, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate, Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor |", "target": ["Super Capers was distributed by Roadside Attractions and Lionsgate (founded by Frank Giustra).", "Roadside Attractions distributed the film of Super Capers which was also distributed by Lionsgate founded by Frank Giustra.", "Super Capers is distributed by Roadside Attractions and by Lionsgate, which was founded by Frank Giustra."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Roadside_Attractions, Lionsgate | foundedBy | Frank_Giustra, Super_Capers | distributor | Lionsgate", "doc_id": 1771, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", HBO Canada, HBO Latin America, HBO Asia, HBO Europe, HBO Middle East, HBO Africa, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Africa, HBO Asia Pacific, HBO Middle East, HBO Latin America, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Latin America, HBO Latin", "target": ["\u2018Death on a Factory Farm\u2019 introduces music written by Jamie Lawrence, who also played for Ashford Town, F.C. The movie was broadcast on HBO. HBO East and HBO west are the channel\u2019s unique timeshift services.", "Jamie Lawrence composed the music for the film Death on a Factory Farm, which was broadcast by HBO (the timeshift channel of which is split into HBO East and HBO West). Jamie Lawrence also played football with Ashford Town (Middlesex) F.C.", "\"Death on a Factory Farm\", which is broadcast on HBO, had its music composed by Jamie Lawrence, who also played on the Ashford Town (Middlesex) F.C. team. HBO has timeshift channels called HBO West and HBO East."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Jamie_Lawrence | club | Ashford_Town_(Middlesex)_F.C., Death_on_a_Factory_Farm | broadcastedBy | HBO, HBO | timeshiftChannel | HBO East, HBO West", "doc_id": 360, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train", "target": ["The Train song Mermaid, a pop rock genre, on Columbia Records and Sony Music Entertainment record label has a total runtime of three minutes and sixteen seconds.", "Mermaid, a pop rock song by Train with a length of 3 minutes and 16 seconds, was released by Sony Music Entertainment under their Columbia Records label.", "The Train song Mermaid is a pop rock song which was released under the record labels Columbia Records and Sony Music Entertainment. The song has a total runtime of 3.16 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment", "doc_id": 457, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common", "target": ["The ICAO location identifier for the Bedford Aerodrome is EGBF, and it is 83.2104 meters above sea level and has a runway named 08/26.", "The ICAO location identifier for Bedford Aerodrome is EGBF and it is 83.2 meters above sea level. This aerodrome has a runway named \"08/26\".", "Bedford Aerodrome is elevated 83.2104 above sea level and has a runway called 08/26. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 637, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Hebrew | Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew | Modern_Hebrew |", "target": ["The official language of Israel is modern Hebrew.", "Israel\u2019s official language is Modern Hebrew.", "Modern Hebrew is the official language of Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | officialLanguage | Modern_Hebrew", "doc_id": 13, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Penn", "target": ["Pennsylvania's Cumberland County is to the north of Adams County, where the 11th Mississippi Infantry Monument is located in the municipality of Gettysburg in Pennsylvania. The 11th Mississippi Infantry Monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument is placed in the municipality of Gettysburg in Pennsylvania, in Adams County and it is categorized as a Contributing Property. North of Adams County is Cumberland county, Pennsylvania.", "11th Mississippi Infantry Monument's location is in Adams County, Pennsylvania in the municipality of Gettysburg, Pennsylvania. The 11th Mississippi Infantry Monument falls under the category of contributing property and Adams County has Cumberland County, Pennsylvania to its north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1517, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Fellowship of the Ring is a 1954 American epic fantasy film directed by Richard Fleischer and written by Richard Matheson. The film stars Richard Burton, Christopher Lee, and Peter Cushing. The film is based on the 1954 novel of the same name by J. R. R. Tolkien.\nThe Fellowship of the Ring is a 1954 American epic fantasy film directed by Richard Fleischer and written by Richard Matheson. The film stars Richard Burton, Christopher Lee, and Peter Cushing. The film is based on the 1954 novel of the same name by J. R. R. Tolkien.\nThe Fellowship of the Ring is a 1954 American epic fantasy film directed by Richard Fleischer and written by Richard Matheson. The film stars Richard Burton, Christopher Lee, and Peter Cushing. The film is based on the 1954 novel of the same name by J. R. R. Tolkien.\nThe Fellowship of the Ring is a 1954 American epic fantasy film directed by Richard Fleischer and written by Richard Matheson. The film stars Richard Burton, Christopher Lee, and Peter Cushing. The film is based on the 1954 novel of the same name by J. R. R. Tolkien.\nThe Fellowship of the Ring", "target": ["The Fellowship of the Ring was published on July 29, 1954.", "The release date of the Fellowship of the Ring was July 29, 1954.", "The Fellowship of the Ring was released on July 29, 1954."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 1088, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West, Adam_West | activeYearsStartYear | 1989-01-01,", "target": ["Tom Sizemore, who began acting in 1989, and Adam West have both starred in Super Capers.", "Tom Sizemore began his acting career in 1989; he starred in Super Capers along with Adam West.", "Tom Sizemore, who started performing in 1989, and Adam West both starred in the movie Super Capers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Tom_Sizemore, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Adam_West", "doc_id": 219, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923", "target": ["Alan Shepard was born in New Hampshire, United States, on November 18th, 1923. He was selected by NASA in 1959. He was also awarded the Distinguished Service Medal by the United States Navy. Shepard died in California.", "Alan Shepard was an American who was born on November 18, 1923 in New Hampshire. Shepard was awarded the Distinguished Service Medal in the United States Navy, selected by NASA in 1959 and died in California.", "Alan Shepard was born on November 18, 1923 in New Hampshire in the U.S. Before his death in California in 1959, Shepard was awarded the Distinguished Service Medal by the United States Navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 368, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time", "target": ["In the Pacific Daylight/Standard Time Zone, the city of Ciudad Ayala has a leader known as the Governator. Its population density is 1604 and it stands 1147 metres above sea level.", "Elevated 1147 metres above sea level and with a population density of 1604, the city of Ciudad Ayala is in the Pacific Standard Time Zone or PDT. Its leader is known as the governator.", "With a population density of 1604, the city of Ciudad Ayala is situated 1147 metres above sea level. It is in the Pacific Daylight/Pacific Standard time zone and is led by a governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 883, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva", "target": ["Olga Bondareva, who lived from April 27th, 1937 to December 9th, 1991, was a student at Leningrad State University.", "Olga Bondareva (born on April 27, 1937) graduated from Leningrad State University, and died on the ninth of December 1991.", "Olga Bondareva, an alumnus of Leningrad State University, was born April 27, 1937 and died December 9, 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09", "doc_id": 124, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro_S\u00e9rie_C | numberOfGames | 1,000 | Campeonato_Brasileiro", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members, played in the 2015 season and play in the Campeonato Brasileiro S\u00e9rie C league which is from Brazil.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense played in 2015, has over 17000 members and play in the Campeonato Brasileiro S\u00e9rie C league, which is based in Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 850, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | cityServed | Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | cityServed | Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | cityServed | Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | cityServed | Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | cityServed | Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | cityServed | Bedford_A", "target": ["Bedford Aerodrome is located in Thurleigh, 83.2 meters above sea level. This airport serves the Bedford Autodrome and is operated by MotorSport Vision. The runway is 1095 meters long. The ICAO location identifier for Bedford Aerodrome is EGBF.", "Bedford Aerodrome serves the Bedford Autodrome and is located in Thurleigh, 83.2104 above sea level. This airport is operated by MotorSport Vision. The runway is 1095 in length. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "Bedford Aerodrome in Thurleigh serving the Bedford Autodrome and operated by MotorSport Vision has the runway length of 1095. Elevated 83.2104 meters above the sea level the ICAO location identifier for the Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 1050, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o", "target": ["Agremiacao Sportiva Arapiraquense played in 2015, in the Campeonato Brasileiro Serie C league. The club has 17000 members.", "Agremiacao Sportiva Arapiraquense of the Campeonato Brasileiro Serie C league played in the 2015 season and has 17000 members.", "Agremiacao Sportiva Arapiraquense has 17000 members and play in the Campeonato Brasileiro Serie C league. They played in the 2015 season."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 749, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsEast | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | has", "target": ["Pennsylvania's Franklin County is found to the west of Adams County, Pennsylvania and Pennsylvania's Cumberland County is to the north. A monument to the 11th Mississippi Infantry was erected in Adams County in the year 2000 in the municipality of Gettysburg and this monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument, a Contributing property established in the year 2000 in Adams County, Pennsylvania falls in the municipality of Gettysburg, Pennsylvania. Adams County Pennsylvania is East of Franklin County, Pennsylvania and has Cumberland County, Pennsylvania to its north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 12, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn |", "target": ["The album Bootleg Series Volume 1: The Quine Tapes was released and produced by the Velvet Underground. The album was recorded in St. Louis, Missouri, United States and has a run time of 230:05.", "The album Bootleg Series Volume 1: The Quine Tapes created and produced by the Velvet Underground that lasts 230.05 minutes was recorded in St. Louis Missouri, the United States.", "Bootleg Series Volume 1: The Quine Tapes created and produced by The Velvet Underground was recorded in St. Louis, Missouri, United States. It has a runtime of 230.05 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri", "doc_id": 1110, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_Hebrew | Hebrew, Modern_", "target": ["Liselotte Grschebina died in Israel, whose official language is modern Hebrew.", "Liselotte Grschebina died in Israel where Modern Hebrew is the official language.", "The death place of Liselotte Grschebina is Israel, where the official language is Modern Hebrew."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Israel, Israel | officialLanguage | Modern_Hebrew", "doc_id": 439, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ltd.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in his home in Cambridge, Massachusetts, and were intended to be a series of lectures on the philosophy of language. The tapes were never intended to be released, and were only discovered in the late 1990s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in his home in Cambridge, Massachusetts, and were intended to be a series of lectures on the philosophy of language. The tapes were never intended to be released, and were only discovered in the late 1990s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in his home in Cambridge, Massachusetts, and were intended to be a series of lectures on the philosophy of language. The tapes were never intended to be released, and were only discovered in the late 1990s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made", "target": ["Polydor Records released the rock album, The Bootleg Series Volume I: The Quine Tapes.", "Bootleg Series Volume I: The Quine Tapes was recorded in the rock genre by Polydor Records.", "Recorded under the Polydor Records record label, the album Bootleg Series Volume 1: the Quine Tapes fits into the Rock music genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records", "doc_id": 1525, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary | College_of_William_&_Mary", "target": ["Alan B. Miller Hall which is owned by the College of William and Mary was completed on 1st June 2009.", "Completed on June 1st, 2009, Alan B. Miller Hall is owned by the College of William and Mary.", "The Alan B. Miller Hall, which is owned by The College of William and Mary, was completed on 1st June 2009."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 87, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Commonwealth University, Virginia Commonwealth University | email | phone | website | twitter | facebook | google+ | youtube | instagram | vimeo | blog | google+ | youtube | instagram | vimeo | blog | google+ | youtube | instagram | vimeo | blog | google+ | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | inst", "target": ["The Mason Schools of Business are the current tenants of,Alan B Miller Hall (address: 101, Ukrop way) is situated in Virginia.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located at 101 Ukrop Way in Virginia.", "Alan B. Miller Hall is on 101 Ukrop way (In Virginia) and its current tenants are The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia", "doc_id": 370, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list", "target": ["The population density of Israel is 387.63.", "The population density of Israel is 387.63 people per square kilometre of land area."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | populationDensity | 387.63", "doc_id": 133, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | location | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Franklin_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Franklin_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Franklin_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Franklin", "target": ["Pennsylvania's Franklin County is found to the west of Adams County, Pennsylvania and Cumberland County, Pennsylvania is found to the north. The 11th Mississippi Infantry Monument, erected in 2000 in Adams County, is categorised as a contributing property.", "The 11th Mississippi Infantry Monument, established in the year 2000, falls under the category of contributing property and is located in Adams County Pennsylvania which is East of Franklin County, Pennsylvania. Adams County also has Cumberland County, Pennsylvania to its north.", "The location of the 11th Mississippi Infantry Monument, built in 2000, is Adams County, Pennsylvania which has Franklin County, Pennsylvania to the west and Cumberland County, Pennsylvania to the north. This monument is classified as a Contributing Property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1299, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Russian | ethnicity | religion | education | occupation | height | weight | weight | eye color | hair color | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality", "target": ["Olga Bondareva was born on April 27th, 1937, in Leningrad, which was then part of the USSR. Her given name at birth was \"Olga Nikolaevna Bondareva\".", "Olga Bondareva, born as Olga Nikolaevna Bondareva, was born in Leningrad, USSR on April 27, 1937.", "Olga Bondareva's birth name is \"Olga Nikolaevna Bondareva\" and she was born on April 27, 1937 in Leningrad, USSR."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | birthPlace | Leningrad,_USSR", "doc_id": 1370, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | music", "target": ["Death on a Factory Farm, produced and directed by Tom Simon and edited by Geof Bartz was broadcast by HBO. The music was composed by Jamie Lawrence and Sarah Teale was co-producer.", "Tom Simon directed and produced Death on a Factory Farm which was edited by Geof Bartz and released by HBO. Sarah Teale was also a producer of the movie which had Jamie Lawrence as the music composer.", "Tom Simon directed the movie \"Death on a Factory Farm\" and also shared the production with Sarah Teale. The film was originally broadcasted on HBO. Geof Bartz edited the movie, and the film\u2019s music was composed by Jamie Lawrence."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | producer | Sarah_Teale", "doc_id": 1067, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I", "target": ["The Pontiac Rageous was first produced in 1997 and is manufactured by Pontiac. It is assembled in Michigan, where 250,493 is the total area of the state.", "The Pontiac Rageous was a car manufactured by Pontiac, went into production in 1997 and was assembled in the state of Michigan, which has a total area of 250,493 square kilometers.", "The Pontiac Rageous was first produced in 1997 and is manufactured by Pontiac. It was assembled in Michigan, which has a total area of 250,493 square km."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | manufacturer | Pontiac, Pontiac_Rageous | assembly | Michigan, Michigan | areaTotal | 250493000000.0", "doc_id": 216, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of", "target": ["Harold French started being an active actor in 1920.", "Harold French has been active as an actor since 1920.", "Harold French started his career as an actor in 1920."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHarold_French | activeYearsStartYear | 1920-01-01", "doc_id": 989, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dentcheva | almaMater | Humboldt_University | Germany, Darinka_Dent", "target": ["Darinka Dentcheva was born January 1, 1958. She attended Humboldt University and is a US citizen. Darinka Dentcheva is a mathematician who developed a theory influenced by Andrzej Piotr Ruszczynski in the field of mathematical optimization.", "Darinka Dentcheva was born on January 1st, 1958 as a citizen of the United States. Her alma mater is Humboldt University, and she is a professional in the field of mathematical optimization. Andrzej Piotr Ruszczynski was an influence on Dentcheva.", "Darinka Dentcheva, born January 1, 1958, is an alumni of Humboldt University and a professional in the field of mathematical optimization influenced by Andrzej Piotr Ruszczy\u0144ski. She is also a United States citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 929, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming | Andrzej", "target": ["Darinka Dentcheva, who was influenced by Andrzej Piotr Ruszczynski, is known for her work with stochastic programming.", "Andrzej Piotr Ruszczynski influenced Darinka Dentcheva, who is known for Stochastic programming.", "Darinka Dentcheva who is known for her work with stochastic programming was able to develop a theory that was influenced by Andrzej Piotr Ruszczynski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 1722, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | birthPlace | Germany | nationality | religion | education | occupation | hobbies | interests | family | occupation | occupation | profession | education | occupation | profession | occupation | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession", "target": ["Liselotte Grschebina lived from May 2, 1908 to June 14, 1994.", "Liselotte Grschebina lived from May 2nd, 1908 to June 14, 1994.", "Liselotte Grschebina was born on May 2, 1908 and died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1216, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European_Time | Eastern_European", "target": ["The time zone of Istanbul is Eastern European time.", "Istanbul is in the Eastern European Time Zone.", "Istanbul's time zone is Eastern European Time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIstanbul | timeZone | Eastern_European_Time", "doc_id": 1405, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United Kingdom | United States | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California | Berkeley | California | USA | University of California", "target": ["Brandon Carter (born in England) is known for the Carter constant as well as the No-hair theorem. His doctoral advisor is Dennis William Sciama.", "Brandon Carter, who was born in England, is known for Carter Constant and his contributions to the no-hair theorem. His doctoral advisor was Dennis William Sciama .", "English-born Brandon Carter is known for the invention of the Carter constant and the no-hair theorem. Carter's doctoral advisor was Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England", "doc_id": 314, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music", "target": ["The Quine Tapes was produced by The Velvet Underground in St. Louis, Missouri, United States; its genre is rock.", "The rock album Bootleg Series Volume 1: The Quine Tapes was produced and recorded by the Velvet Underground in St. Louis, Missouri, USA.", "The Velvet Underground recorded Rock album The Bootleg Series Volume I: The Quine Tapes in St. Louis, Missouri, USA."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music", "doc_id": 65, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English| @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_Dentcheva | @Darinka_", "target": ["Darinka Dentcheva was born on January 1, 1958.", "The birth date of Darinka Dentcheva is January 1, 1958.", "Darinka Dentcheva was born on January 1st, 1958."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | birthDate | 1958-01-01", "doc_id": 1371, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Kill", "target": ["The American band, the Honeymoon Killers, self-produced its album called Turn Me On followed by the Take it Off album where The extended play song, 'Til Death Do Us Part came after Take It Off!", "The album Take It Off was followed by the EP titled 'Til Death Do Us Part and preceded by Turn Me On, produced by the Honeymoon Killers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | followedBy | Take_It_Off!, Take_It_Off! | followedBy | 'Til_Death_Do_Us_Part_(EP)", "doc_id": 1164, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| music | John_C.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by Gilbert Taylor and starring John Wayne, Robert Mitchum, and Robert Ryan. The film was based on the novel of the same name by James Agee.\nThe film was released on December 19, 1956, and was Wayne's first film since the release of The Searchers in 1956. The film was a box office success, and Wayne received a Golden Globe Award for Best Actor.\nThe film was Wayne's first film since the release of The Searchers in 1956. The film was a box office success, and Wayne received a Golden Globe Award for Best Actor.\nThe film was shot in the United States, and the film's production was financed by the United States government.\nThe film was shot in the United States, and the film's production was financed by the United States government.\nThe film was shot in the United States, and the film's production was financed by the United States government.\nThe film was shot in the United States, and the film's production was financed by the United States government.\nThe film was shot in the United States, and the film's production was financed by", "target": ["It's Great to Be Young had Gilbert Taylor as cinematographer.", "It's Great to Be Young is in Gilbert Taylor's cinematography.", "Gilbert Taylor was the cinematographer of the film \"It's Great to Be Young\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor", "doc_id": 406, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop_rock, Pop", "target": ["This'll be my year by the band Train was followed by the pop rock song Mermaid. Train followed Mermaid with the John Lennon song, Imagine, which is preceded by Power to the People and followed up by Happy Xmas (War is Over).", "The Train song Mermaid of the genre of pop rock was preceded by the song This'll be my year, followed by John Lennon song Imagine that was followed by the release of the song Happy Xmas (War is Over). The cover was preceded by the song Power to the People.", "The pop rock genre song Mermaid by Train had been preceded by the song This'll Be My Year and followed by the release of Imagine by John Lennon performed by Train. The John Lennon song Imagine was preceded by the song Power to the People and followed by Happy Xmas (War Is Over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over), Imagine_(John_Lennon_song) | precededBy | Power_to_the_People_(song), Mermaid_(Train_song) | genre | Pop_rock", "doc_id": 1686, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | ethnicity | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | height | weight | education | occupation | body measurements | eye color | hair color | eye color | nationality | height | weight | education | occupation | body", "target": ["Born in Darlington on January 1st, 1726, Lady Anne Monson lived in the Kingdom of England holding British nationality.", "Lady Anne Monson was born in Darlington, in the Kingdom of England on 1/1/1726.", "Lady Anne Monson (born in Darlington) on January 1, 1726 is English."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 955, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | profession | occupation | hobbies | interests | family | children | spouse | children | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | siblings | children | grandchildren | parents | children | grandchildren | siblings | children | grandchildren | parents | children | grandchildren | parents | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | siblings | children | children | grandchildren | parents | children | grandchildren | children | siblings | children | children | grandchildren | parents | children | children | grandchildren | siblings | children | children | children | grandchildren | parents | children | children | grandchildren | siblings | children | children | parents | children | grandchildren", "target": ["Nurhan Atasoy (born January 1, 1934) resides in Istanbul. They are of Turkish nationality.", "Nurhan Atasoy, born January 1st, 1934, is Turkish and lives in Istanbul.", "Nurhan Atasoy was born on January 1, 1934 in Turkey. He once lived in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1534, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian Kelly) | Pools of Light (Brian", "target": ["Expect a Miracle is preceded by the Brian Kelly album Pools of Light.", "The Brian Kelly album Expect a Miracle was preceded by the album Pools of Light.", "Expect a Miracle was preceded by Pools of Light by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 1062, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | name | occupation | profession | education | occupation | country | city | state | country | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state", "target": ["Lady Anne Monson is from the Kingdom of England. She resided in India and was married to George Monson.", "Lady Anne Monson, an Englishwoman residing in India, is married to George Monson.", "Lady Anne Monson, spouse of George Monson, lived in the Kingdom of England at one point and held British nationality, despite residing in India most of her life."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson", "doc_id": 1001, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate | 1726-01-01 | birthPlace | New York, New York, U.S.\nLady_Anne_Monson | birthDate | 1726-01-01 | deathDate |", "target": ["The birthdate of Lady Anne Monson is 1726-01-01.", "Lady Anne Monson was born in 1726 on January, 1.", "Lady Anne Monson was born on January 1, 1726."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthDate | 1726-01-01", "doc_id": 1656, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | literaryGenre | Juvenile_fantasy, The_Fellowship_of_the_Ring | author |", "target": ["The Fellowship of the Ring was written by J.R.R Tolkien. The Two Towers is the sequel to it. It was preceded by the Hobbit. The Hobbit's genre is juvenile fantasy and literary genre is high fantasy.", "The Hobbit, which came before The Fellowship of the Ring, falls into the genres of high fantasy and juvenile fantasy. The Fellowship of the Ring, which was followed by The Two Towers, was written by J.R.R. Tolkien.", "The author of The Fellowship of the Ring is J.R.R. Tolkien. It was followed by The Two Towers. The Hobbit came before this book. The Hobbit's genre is high fantasy and is classified in the juvenile fantasy genre of literature."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Hobbit | literaryGenre | Juvenile_fantasy, The_Hobbit | literaryGenre | High_fantasy, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 1454, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Thesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sentence in Natural Language\"\nThesis Title: \"The Representation of a Sent", "target": ["Liselotte Grschebina was a professional photographer who was born on May 2, 1908 and died on June 14, 1994.", "Liselotte Grschebina was a photographer who was born on May 2, 1908 and died on June 14, 1994.", "Liselotte Grschebina was a professional photographer who lived from May 2nd, 1908 to June 14th, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 395, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | periapsis | 12.5, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | periapsis | 12.5, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stav", "target": ["1147 Stavropolis is an asteroid with an absolute magnitude of 11.5 and orbital period of 1249.6 days. Also, this asteroid has an apoapsis of 418476000000.0, a periapsis of 260855000000.0 and the epoch date is 31 July 2016 (Julian Day 2457600.5).", "With an orbital period of 1249.6, 1147 Stavropolis is an asteroid with an absolute magnitude of 11.5 and an apoapsis of 418476000000.0 AU. Its epoch is 31 July 2016 (JD2457600.5) and its periapsis is 260855000000.0.", "1147 Stavropolis with epoch 31 July 2016 (Julian Day 2457600.5) and orbital period of 1249.6 days has an periapsis and apoapsis of 260855000000 and 418476000000.0 respectively. The absolute magnitude of 1147 Stavropolis is 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 997, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_Roadburn_2008, Live_at_", "target": ["Year of No Light created the album Live at Roadburn 2008, which was preceded by band\u2019s self-produced album Nord.", "The Year of No Light album Nord, self-produced by the band, was followed by Year of No Light's album Live at Roadburn 2008.", "Year of No Light followed their album Nord, which they also produced, with the album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light", "doc_id": 779, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Twitter | Instagram | LinkedIn | Google+ | YouTube | Pinterest | Tumblr | Vimeo.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of", "target": ["Harold French is born in the UK.", "Harold French was born in the UK.", "Harold French was born in the United Kingdom."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHarold_French | birthPlace | UK", "doc_id": 1548, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words", "target": ["The Morelos total area is 4879 km\u00b2.", "Morelos has a total area of 4879.", "The total area of Morelos is 4879."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMorelos | areaTotal | 4879.0", "doc_id": 704, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense's full name is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" and the club has 17000 members. They play in the Campeonato Brasileiro S\u00e9rie C league which is based in Brazil.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense's full name is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\", and they have 17000 members, play in the Campeonato Brasileiro S\u00e9rie C league, which is from Brazil.", "The Agremiacao Sportiva Arapiraquense 'Agremiacao Sportiva Arapiraquense' have 17000 members and play in the Campeonato Brasileiro Serie C league from Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1267, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise |", "target": ["Punk blues and noise rock are genre of the album Turn Me On.", "Turn Me On's genre can be defined as punk blues and noise rock.", "Turn Me On is a punk blues album of the musical genre known as noise rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | genre | Noise_rock", "doc_id": 801, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_the_King | The_Tower_of_", "target": ["The Two Towers was followed by The Return of the King.", "The Return of the King followed The Two Towers.", "The Two Towers preceded The Return of the King."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Two_Towers | followedBy | The_Return_of_the_King", "doc_id": 819, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so", "target": ["The University of Burgundy campus is located in Dijon.", "The campus of the University of Burgundy is located in Dijon.", "The University of Burgundy has its campus in Dijon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | campus | Dijon", "doc_id": 1206, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | religion | religion, Lady_Anne_Monson | occupation, Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | interests, Lady_Anne_Monson | favorite things, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite sports, Lady_Anne_Monson | favorite TV shows, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite websites, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite TV shows, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite TV shows, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite books,", "target": ["Lady Anne Monson, who was born in the Kingdom of England, lived there, and held British nationality, died on February 18th, 1776.", "Lady Anne Monson was born in the Kingdom of England making her nationality with that Kingdom. She died on February 18, 1776.", "Lady Anne Monson was born in the Kingdom of England and has an English Nationality, she died on 1776-02-18."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 873, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Interests | hobbies | Favourite Quote | Quote of the Day | Quotes of the Day | Quotes of the Week | Quotes of the Day | Quotes of the Week | Quotes of the Day | Quotes of the Week | Quotes of the Day | Quotes of the Week | Quotes of the Day | Quotes of the Day | Quotes of the Week | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the Day | Quotes of the", "target": ["Chinese national Nie Haisheng is from Zaoyang.", "Nie Haisheng is from the People's Republic of China and was born in Zaoyang.", "Nie Haisheng was born in Zaoyang and is a citizen of the People's Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 931, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense's nickname is Alvinegro and they play in the Campeonato Brasileiro S\u00e9rie C league which is from Brazil.", "Agremiacao Sportiva Arapiraquense (nickname: \"Alvinegro\") plays in the Campeonato Brasileiro Serie C League from Brazil.", "Agremiacao Sportiva Arapiraquense (Alvinegro) play in the Campeonato Brasileiro Serie C league based in Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"", "doc_id": 367, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate |", "target": ["J.R.R. Tolkien wrote The Fellowship of the Ring which was released on July 29, 1954. The Hobbit was released first, followed by The Fellowship of the Ring, and then The Two Towers.", "The author of the Fellowship of the Ring is J.R.R. Tolkien. It was released on July 29, 1954. The Hobbit came before it, and it was followed by The Two Towers.", "The Fellowship of the Ring was published on July 29, 1954, and J.R.R. Tolkien was the author. The Fellowship of the Ring was followed by The Two Towers and the Hobbit came before The Fellowship of the Ring."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 1741, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a", "target": ["The album Pools of Light was succeeded by Brian Kelly's instrumental Expect a Miracle, with a runtime of 54.56 minutes.", "Brian Kelly works with instrumental music and created the albums Pools of Light then Expect a Miracle having a runtime of 54.56."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 515, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete", "target": ["Bedford Aerodrome has a runway surface made of concrete whose name is 08/26.", "The runway surface of the Bedford Aerodrome named \"08/26\" is made of concrete.", "The Bedford Aerodrome runway surface is made out of concrete and has a runway called 08/26."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 1604, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | occupation, Liselotte_Grschebina | education, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | philosophy, Liselotte_Grschebina | religion, Liselotte_Grschebina | philosophy, Liselotte_Grschebina | religion, Liselotte_Grschebina | philosophy, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | philosophy, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grsche", "target": ["Liselotte Grschebina was born May 2, 1908 in Israel. She attended the school of Applied Arts in Stuttgart and became a professional photographer. She died on June 14, 1994.", "Liselotte Grschebina was a photographer who has Israeli nationality and was born in May 2, 1908. She studied at the School of Applied Arts in Stuttgart and died on June 14, 1994.", "Liselotte Grschebina (born May 2, 1908) was a professional Israeli photographer. She studied at the School of Applied Arts in Stuttgart before her death on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 1559, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of", "target": ["The Acharya Institute of Technology which is in India, is affiliated with Visvesvaraya Technological University and was given the Technical Campus status by The All India Council for Technical Education which is in Mumbai. The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore, India \u2013 560090. The University is affiliated with the Visvesvaraya Technological University and was given the status of Technical Campus by All India Council for Technical Education, which is located in Mumbai.", "The Acharya Institute of Technology is located in India and is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 681, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_Spector | singer | Phil_", "target": ["Phil Spector produced John Lennon\u2019s song Imagine.", "Phil Spector was the producer of the John Lennon classic Imagine.", "The John Lennon song Imagine is produced by Phil Spector."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | producer | Phil_Spector", "doc_id": 1326, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "target": ["The 11th Mississippi Infantry monument (located in Adams county, Pennsylvania) was established in the year 2000. Adams county, Pennsylvania has Cumberland county, Pennsylvania to its north.", "The 11th Mississippi Infantry Monument was established in 2000 in Adams County, Pennsylvania which is south to the Cumberland county, Pennsylvania.", "A monument to the 11th Mississippi Infantry (located in Adams County, Pennsylvania) was erected in 2000. Pennsylvania's Cumberland county is to the north of the Adams."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1699, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez | I will verbalize an abstract representation of a", "target": ["Adri\u00e1n Rivera P\u00e9rez is a leader in Morelos.", "One of the leaders of the Mexican state of Morelos is Adri\u00e1n Rivera P\u00e9rez."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez", "doc_id": 582, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.", "target": ["Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and has a runway called 08/26.", "The ICAO location identifier for Bedford Aerodrome is EGBF which has a runway named \"08/26.\"", "The Bedford Aerodrome runway name is 08/26 with an ICAO location identifier of EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 1071, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 1.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in", "target": ["The OS grid reference for Darlington is NZ289147.", "Darlington has a grid reference of NZ289147."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarlington | gridReference | NZ289147", "doc_id": 1207, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Olga Bondareva, born in Leningrad of the USSR, is an economist and mathematician who died in Saint Petersburg on December 9, 1991.", "Olga Bondareva was born in Leningrad, USSR and worked in Mathematics and Economics until her death in 1991 in Saint Petersburg.", "Olga Bondareva was born in Soviet Leningrad and died on 9 December 1991 in Saint Petersburg. She was an economist and was a known professional in the field of Mathematics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics", "doc_id": 872, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University of Cambridge, UK.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Cambridge | type | Research_university | University of Cambridge, UK.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Cambridge | type | Research_university | University of Cambridge, UK.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Cambridge | type | Research_university | University of Cambridge, UK.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of", "target": ["The University of Cambridge is a research university."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Cambridge | type | Research_university", "doc_id": 1756, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense is a club that plays in Brazil's Campeonato Brasileiro S\u00e9rie C league. Also known as Alvinegro, the club represents 17,000 members.", "Agremiacao Sportiva Arapiraquense, known as Alvinegro play in the Campeonato Brasileiro S\u00e9rie C league from Brazil has 17000 members.", "The 17000 member group Agremia\u00e7\u00e3o Sportiva Arapiraquense, nicknamed Alvinegro, play in the Campeonato Brasileiro S\u00e9rie C league from Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"", "doc_id": 1003, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07-29 | English|1954-07", "target": ["The Fellowship of the Ring, which was released on July 29, 1954, was written by J.R.R. Tolkien.", "The Fellowship of the Ring, written by J.R.R. Tolkien, was published on July 29, 1954.", "The Fellowship of the Ring, written by J.R.R. Tolkien, was released on July 29, 1954."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 1132, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower | The_Tower", "target": ["The Fellowship of the Ring was followed by The Two Towers.", "The Two Towers is the sequel to The Fellowship of the Ring."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers", "doc_id": 1726, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", writer, and translator.", "target": ["Liselotte Grschebina was a professional photographer.", "Liselotte Grschebina was a photographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | professionalField | Photographer", "doc_id": 501, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0 min.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0 min.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jagg", "target": ["The 89-minute-long movie English Without Tears includes music composed by Nicholas Brodszky. Alan Jaggs was in charge of the editing.", "Alan Jaggs was the editor and Nicholas Brodszky was the composer in a 89 minute film called 'English Without Tears.'", "English Without Tears is a film with a running time of 89 minutes, which was edited by Alan Jaggs, with Nicholas Brodszky as the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | runtime | 89.0", "doc_id": 1232, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | almaMater | \"NWC, M.A.", "target": ["Alan Shepard, from New Hampshire, received his M.A. from NWC in 1957.", "Alan Shepard (birth place, New Hampshire),went to school at NWC and graduated with an MA in 1957.", "Born in New Hampshire, Alan Shepard got his M.A. upon graduating from NWC in 1957."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 1369, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_", "target": ["Ciudad Ayala is a part of Morelos, in Mexico.", "Ciudad Ayala in Morelos is in Mexico.", "Ciudad Ayala is a part of Morelos which is in the country of Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico", "doc_id": 1439, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n15th_Mississippi_Infantry_Monument | established | 2000, 15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n16th_Mississ", "target": ["The 11th Mississippi Infantry Monument, located in Adams County, Pennsylvania was established in 2000.", "In 2000, The 11th Mississippi Infantry Monument is located in Adams County, in the state of Pennsylvania.", "Established in 2000, 11th Mississippi Infantry Monument's location is Adams County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"", "doc_id": 620, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 0.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so", "target": ["Terence Rattigan is registered in IMDb under the ID 0711905.", "Terence Rattigan's IMDb ID is 0711905.", "The IMDb ID of Terence Rattigan is 0711905."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTerence_Rattigan | imdbId | 0711905", "doc_id": 522, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySurfaceType | Concrete, Bedford_Aerodrome | runwaySur", "target": ["The ICAO location identifier for the Bedford Aerodrome is EGBF and the aerodrome has a runway surface made of concrete.", "The ICAO location identifier for Bedford Aerodrome is EGBF and its runway is made of concrete.", "Bedford Aerodrome with concrete runway has EGBF as its International Civil Aviation Organization (ICAO) identifier."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 825, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | icao", "target": ["The Bedford Aerodrome is located in Thurleigh, postal code MK44, and is operated by MotorSport Vision, founded by Peter Ogden. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "The location of Bedford Aerodrome is Thurleigh, postal code MK44 and the aerodrome is operated by MotorSport Vision which was founded by Peter Ogden. The ICAO location identifier for the Bedford Aerodrome is EGBF.", "The location of Bedford Aerodrome is Thurleigh, postal code MK44, and the ICAO location identifier for the aerodrome is EGBF. The operator of the aerodrome is MotorSport Vision which was founded by Peter Ogden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | foundedBy | Peter_Ogden", "doc_id": 328, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_C", "target": ["At a length of 98 minutes, the movie Super Capers starred Michael Rooker and Tom Sizemore. The film was distributed by both Roadside Attractions and Lionsgate.", "The movie \"Super Capers\" (98 minute length) stars Michael Rooker and Tom Sizemore. The film is distributed by Lionsgate and Roadside Attractions.", "Lionsgate distributed Super Capers, a 98 minute long movie starring Tom Sizemore. Michael Rooker is also in the film which was distributed by Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate", "doc_id": 810, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | religion | age | height | weight | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music |", "target": ["Liselotte Grschebina, an Israeli national, was born in Karlsruhe.", "Liselotte Grschebina is an Israeli who was born in Karlsruhe."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | nationality | Israel", "doc_id": 1753, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Quine Tape is a collection of recordings made by the philosopher and mathematician John Quine in the early 1960s. The tapes were made by the Quine family, who were Quine's students at Harvard. The tapes were discovered in the attic of the Quine family home in Cambridge, Massachusetts, in the early 1990s.\nThe Quine family had been Quine's students at Harvard, and the tapes were found in the attic of the Quine family home in Cambridge, Massachusetts, in the early 1990s. The tapes were discovered by the Quine family's son, John Quine, who had been a student of John von Neumann at Harvard.\nThe Quine family had been Quine's students at Harvard, and the tapes were found in the attic of the Quine family home in Cambridge, Massachusetts, in the early 1990s. The tapes were discovered by the Quine family's son, John Quine, who had been a student of John von Neumann at Harvard.\nThe Quine Tape is a collection of recordings made by the philosopher and mathematician John Quine in the early 1960s. The tapes were made by the Quine family, who were Quine's students at Harvard.", "target": ["The Bootleg Series Volume 1: The Quine Tapes was released under the Polydor Records record label and the Universal Music Group on 2001-10-16. The album has a total runtime of 230:05.", "The Bootleg Series Volume 1: The Quine Tapes, which has a runtime of 230.05 minutes, was recorded under Universal Music Group and released on 10-16-2001 under their Polydor Records label.", "Bootleg Series Volume 1: The Quine Tapes is 230.05 minutes long, was recorded through Polydor Records and then released by the record label Universal Music Group on October 16th 2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 1248, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | city | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall (located in Virginia, United States). The college of William and Mary is the owner. The Hall building start date was in 30th March 2007, designed by Robert A.M. Stern. The address of the Hall is \"101 Ukrop Way\".", "The architect of the Alan B Miller Hall at 101 Ukrop Way in Virginia, USA, is Robert A M Stern. The current occupants of the hall, which is owned by The College of William and Mary, are The Mason School of Business and it began construction on the 30th of March, 2007.", "The Alan B Miller Hall is located in Virginia in the USA at 101 Ukrop Way. The College of William and Mary currently own the hall which began construction on 30/03/2007 and was designed by Robert A.M. Stern. The Mason School of Business are the current tenants."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Virginia | country | United_States, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1323, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "!\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["The Train song Mermaid was preceded by the song This'll be my year.", "The Train song Mermaid had been preceded by the song This'll Be My Year.", "This'll be my year by Train was followed by Mermaid."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | precededBy | This'll_Be_My_Year", "doc_id": 625, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico (a dish served for dessert) is a food found in Mexico. Sandesh is a nice confectionery dessert.", "Bionico is a food found in Mexico which is served as a dessert. Sandesh (confectionery) is also a dish that can be served as a dessert.", "Bionico, Sandesh are both dessert food found in Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 1614, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, U.K.\nLady_Anne_Monson | education | University of Oxford, U.K.\nLady_Anne_Monson | occupation | University of Oxford, U.K.\nLady_Anne_Monson | hobbies | University of Oxford, U.K.\nLady_Anne_Monson | height | University of Oxford, U.K.\nLady_Anne_Monson | weight | University of Oxford, U.K.\nLady_Anne_Monson | eye color | University of Oxford, U.K.\nLady_Anne_Monson | hair color | University of Oxford, U.K.\nLady_Anne_Monson | height | University of Oxford, U.K.\nLady_Anne_Monson | weight | University of Oxford, U.K.\nLady_Anne_Monson | body type | University of Oxford, U.K.\nLady_Anne_Monson | height | University of Oxford, U.K.\nLady_Anne_Monson | weight | University of Oxford, U.K.\nLady_Anne_Monson | shoe size | University of Oxford, U.K.\nLady_Anne_", "target": ["Lady Anne Monson was born in Darlington."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington", "doc_id": 597, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | birthPlace | New_Hampshire, California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_finch, Alan_Shepard | deathPlace | California, New_Hampshire | bird | purple_f", "target": ["Alan Shepard's was born in New Hampshire, where the native bird is the purple finch, and died in California.", "Born in New Hampshire (home of the purple finch), Alan Shepard died in California.", "The Purple Finch is a New Hampshire bird, where Alan Shepard was born in, and he died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 1306, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate | 1946-12-17, 1147_Stavropolis | deathDate", "target": ["Grigory Neujmin died on Dec 17, 1946. He discovered 1147 Stavropolis with orbital period of 1249.6 days as well as rotation period of 20378.5.", "The asteroid 1147 Stavropolis, discovered by Grigory Neujmin with a date of death December 17, 1946, has a rotation period of 20378.5 with orbital period of 1249.6 days.", "Grigory Neujmin, the discoverer of 1147 Stavropolis, died on December 17, 1946. The 1147 Stavropolis has a rotation period of 20378.5 and an orbital period of 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, Grigory_Neujmin | deathDate | 1946-12-17", "doc_id": 507, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China | age | height | weight | education | nationality | religion | occupation | hobbies | interests | family | likes | dislikes | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite food | favorite drink | favorite music | favorite movies | favorite books | favorite music | favorite TV shows | favorite movies | favorite books | favorite music | favorite movies | favorite TV shows | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies |", "target": ["Nie Haisheng, born in Zaoyang took part in the Shenzhou 6 mission was part of the mission Shenzhou 10.", "Nie Haisheng who was part of Shenzhou 10 mission and took part in the Shenzhou 6 mission, was born in Zaoyang.", "Nie Haisheng, born in Zaoyang, who was a crew member on Shenzhou 6, took part in the Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | birthPlace | Zaoyang", "doc_id": 389, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The location of the BBC is the Broadcasting House in London. Bananaman, broadcast by the BBC, first aired April 15th, 1986, and last aired October 3rd, 1983.", "The TV series, Bananaman, first aired on October 3, 1983 on BBC. Its last aired show was on April 15, 1986. BBC, which aired the series, has headquarters that is called Broadcasting House.", "The home of the BBC, which broadcasted Bananaman, is Broadcasting House in London. They first aired Bananaman on 10/03/1983 and last aired it on 15/04/1986."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 1318, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It", "target": ["John Mills played the lead role and Cecil Parker had a main role in the movie It's Great to Be Young. The movie was released in 1956 and had a duration of 94 minutes. Cyril Frankel is the director and Louis Levy is the music composer of the movie.", "It's Great to be Young is a 1956 film starring Cecil Parker and John Mills, who had a main role, was composed by Louis Levy, was directed by Cyril Frankel, and has a running time of 94 minutes.", "It\u2019s Great to be Young is a 1956 film starring John Mills and Cecil Parker that runs for 94 minutes. The director was Cyril Frankel and Louis Levy was the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 274, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Airbase | runway Length | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force | Air", "target": ["Al Asad Airbase is operated by the United States Air Force and has a runway with the length of 3078.48.", "The United States Air Force is the operating organisation for Al Asad airbase with a runway length of 3078.48.", "Al Asad Airbase is operated by the United States Air Force and the runway has a length of 3078.48."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | runwayLength | 3078.48, Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force", "doc_id": 1560, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | category | \"United States\"\n15th_Mississippi_Infantry_Monument | established | 2000, 15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | category | \"United States\"\n16th_Mississ", "target": ["Located in Adams Country, Pennsylvania in the United States, the monument to the 11th Mississippi Infantry was erected in 2000. It is described as a contributing property. Cumberland County is to the north of Adams County.", "The 11th Mississippi Infantry Monument's located in the United States near Adams County, Pennsylvania. It falls under the category of Contributing property and was established in the year 2000. Adams County, Pennsylvania has Cumberland County, Pennsylvania to its north.", "The 11th Mississippi Infantry Monument was established in 2000 and is categorized as a Contributing Property. The monument is located in Adams County, Pennsylvania, USA and has Cumberland county, Pennsylvania to the north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 111, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | B.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show", "target": ["Nie Haisheng was born on October 13, 1984 in Zaoyang.", "Nie Haisheng was born on October 13, 1964 in Zaoyang.", "Nie Haisheng was born on 10/13/1964 in Zaoyang."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 1049, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime | 64, Expect_a_Miracle | type | Compilation_Album | runtime |", "target": ["The compilation album Expect a Miracle, which was produced by Brian Kelly, has a runtime of 54:56.", "Expect a Miracle is a compilation album produced by Brian Kelly with a runtime of 54.56 minutes.", "Expect a Miracle, produced by Brian Kelly, is a compilation album with a runtime of 54.56."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | type | Compilation_Album", "doc_id": 1520, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["India was founded on January 26, 1950.", "India was founded on the 26th of January in 1950.", "India was founded on January 26th, 1950."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | foundingDate | 1950-01-26", "doc_id": 1122, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man named Tom Simon, who was killed by a factory farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm. The film is a combination of interviews with the family, the farm owner, and the police, and it also includes footage of the farm", "target": ["Death on a Factory Farm is an 83 minute movie that is directed by Tom Simon. Geof Bartz edited it while Jamie Lawrence composed the music.", "'Death on a Factory Farm' is an 83 minute long film which was directed by Tom Simon, edited by Geof Bartz an has music composed by Jamie Lawrence.", "Death on a Factory Farm was an 83 minute movie directed and edited by Tom Simon and Geof Bartz. Jamie Lawrence composed the music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 366, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom | musicFusion", "target": ["Death metal is a musical fusion of black metal which itself is a genre of Aaron Turner's music. Aaron Turner played for Old Man Gloom.", "Aaron Turner is a black metal musician who played for Old Man Gloom. Death metal is a musical fusion of black metal.", "Aaron Turner a Black metal musician played for Old Man Gloom. Death metal is a musical fusion of black metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBlack_metal | musicFusionGenre | Death_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom", "doc_id": 1154, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsSouth | Carroll_County,_Maryland, 12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsSouth | Carroll_County,_Maryland, 13th_", "target": ["The 11th Mississippi Infantry Monument is in the United States in a place called the municipality of Gettysburg in Adams County, Pennsylvania. This place has to its southeast Carroll County, Maryland and to its north Pennsylvania's Cumberland County. The 11th Mississippi Infantry Monument is classified as a contributing property.", "The 11th Mississippi Infantry Monument is located in the United States in the municipality of Gettysburg which is in Adams County, Pennsylvania. To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland while to its north is Cumberland County, Pennsylvania. The monument falls under the category of Contributing property.", "The 11th Mississippi Infantry Monument is categorized as a Contributing Property and is located in the municipality of Gettysburg, Adams County, Pennsylvania, USA. Adams County has Carroll County, Maryland to its southeast and Cumberland County, Pennsylvania to its north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 666, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | songwriter | singer | singer | songwriter | singer | songwriter | singer | songwriter | singer | singer | songwriter | singer | songwriter | singer | singer | songwriter | singer | songwriter | singer | singer | songwriter | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer | singer | songwriter | singer", "target": ["Stargate produced the song Mermaid.", "The Train song Mermaid was written by the production team Stargate."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Stargate_(production_team)", "doc_id": 271, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | c.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the", "target": ["Brandon Carter (born in 1942 on January, 1) graduated from the University of Cambridge where David Sainsbury is the chancellor, who is also known as Baron Sainsbury of Turville. Dennis William Sciama was the advisor of Carter.", "Brandon Carter was born on January 1, 1942 and graduated from the University of Cambridge where the current chancellor is David Sainsbury, Baron Sainsbury of Turville. Brandon's doctoral advisor was Dennis William Sciama.", "Brandon Carter (b. Jan. 1, 1942) had Dennis William Sciama as his doctoral advisor at his alma mater the University of Cambridge, where David Sainsbury, also known as Baron Sainsbury of Turville, is the chancellor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | almaMater | University_of_Cambridge, University_of_Cambridge | chancellor | David_Sainsbury,_Baron_Sainsbury_of_Turville, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 1685, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England", "target": ["Darlington is in the North East England region.", "Darlington is in the North East of England.", "Darlington is located in the North East of England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarlington | region | North_East_England", "doc_id": 654, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | year | release_date | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year | release_date | year |", "target": ["Bootleg Series Volume 1: The Quine Tapes album with a run time of 230.05 minutes in the genre of Rock music was produced by Velvet Underground and released by the record label Polydor Records, preceded by album Squeeze.", "The music group Velvet Underground released a rock album called Bootleg Series Volume 1: The quine tapes that is 230:05 minutes long under the Polydor Records record label. The album was after the Squeeze album by the same artists.", "Bootleg Series Volume 1: The Quine Tapes's genre is rock, 230.05 minutes long, was preceded by the album Squeeze, & was recorded through Polydor Records. The Bootleg Series Volume I: The Quine Tapes is produced by The Velvet Underground. who created the album Bootleg Series Volume 1: The Quine Tapes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records", "doc_id": 604, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | country | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Peso is currency used by Mexicans in Mexico. Bionico is a dessert that can be found in Guadalajara, Mexico. Cookies are also a type of dessert.", "Bionico (a dish served for dessert) is a food from Guadalajara in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans. A cookie is a dessert.", "Bionico (served at the dessert course) is a food found in Guadalajara Mexico. The currency in Mexico is the peso inhabited by the Mexicans. Cookie is a type of dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Dessert | dishVariation | Cookie, Bionico | country | Mexico", "doc_id": 788, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | isPartOf | Tokat_Province", "target": ["Nurhan Atasoy was born in Resadiye, a town located in the Tokat Province in Turkey. Turkey has a total area of 783,356.0 km^2.", "Turkey is a country with a total area of 783,356 square kilometers, including Re\u015fadiye, Tokat Province, the birth place of Nurhan Atasoy.", "Nurhan Atasoy was born in Resadiye, which is a part of the Tokat Province in Turkey. Turkey\u2019s total area is 783,356 sq/km."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Re\u015fadiye | isPartOf | Tokat_Province, Turkey | areaTotal | 783356.0, Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 438, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Petah_Tikva | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14", "target": ["Liselotte Grschebina was born on May 2, 1908, did her studies at the School of Applied Arts in Stuttgart and died in Petah Tikva on June 14, 1994.", "Liselotte Grschebina (born May 2, 1980; died June 14, 1994, in Petah Tikva) attended the school of Applied Arts in Stuttgart.", "Liselotte Grschebina was born on May 2, 1908, studied at the School of Applied Arts in Stuttgart, and then died in Petah, Tikva on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 1085, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden, Bananaman | broadcastedBy", "target": ["Steve Bright crested Bananaman which was starred in by Graeme Garden. Bananaman was broadcast on the BBC which is based at Broadcasting House in London.", "Graeme Garden starred in the TV show Bananaman, which was created by Steve Bright and shown on the BBC which is a broadcaster based at Broadcasting House in London.", "The location of the BBC, which broadcasts Bananaman, is Broadcasting House in London. The creator of Bananaman is Steve Bright and one of its stars was Graeme Garden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | starring | Graeme_Garden", "doc_id": 1497, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand", "target": ["Massachusetts-born musician Aaron Turner began performing in 1995. Turner is a post-metal musician who played with the band Twilight.", "Aaron Turner was born in Massachusetts. His music is post-metal. He started performing in 1995 and played with the band of Twilight.", "Post-metal performer Aaron Turner from Massachusetts who played with the band Twilight, started performing in 1995."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1039, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_of_Israel | Arab_citizens_Israel | Arab_citizens_of_Israel | Arab_citizens_Israel | Arab_citizens_of_Israel | Arab_citizens_Israel", "target": ["The Arab citizens of Israel is an ethnic group in Israel.", "Ethnic groups in Israel include Arabs.", "One of the ethnic groups in Israel is Arabs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | ethnicGroup | Arab_citizens_of_Israel", "doc_id": 1030, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The", "target": ["The genre of the Velvet Underground is proto-punk.", "Proto-punk is the genre of the Velvet Underground.", "The Velvet Underground is a proto-punk band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Velvet_Underground | genre | Proto-punk", "doc_id": 156, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is Over) | Happy Xmas (War Is", "target": ["Mermaid,performed by Train, is on the Sony Music Entertainment label;however,John Lennon also released Imagine which was followed by Happy Xmas (War is Over) on the same record label.", "Train's hit Mermaid was put out by the Sony Music Entertainment record label, followed by Mermaid with Imagine, a song by John Lennon. The release of the song Imagine by John Lennon was then followed by the release of the song Happy Xmas (War Is Over).", "The Train song Mermaid, released under the record label Sony Music Entertainment, is followed by the John Lennon song Imagine, which was followed by his hit Imagine with Happy Xmas (War is Over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over)", "doc_id": 451, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court of India, Supreme Court", "target": ["Lady Anne Monson\u2019s nationality is English but currently resides in India, whose total area is 3,287,590 km^2. One of the leaders of India is Chief Justice.", "Lady Anne Monson was born in England and had British nationality but she resided in India for most of her life. India has a total area of 32875900000000 and Chief Justice is one the leaders here.", "Lady Anne Monson\u2019s nationality was with the Kingdom of England but her residence was in India. One of the leadership titles in India is Chief Justice and the total area of India is 3287590000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England, India | areaTotal | 3287590000000.0, Lady_Anne_Monson | residence | India, India | leaderTitle | Chief Justice", "doc_id": 376, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Polish | religion | Ethnicity | Education | occupation | hobbies | interests | family | height | weight | weight | height | weight | age | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | height |", "target": ["Piotr Hallmann was born on August 25, 1987 in Gdynia, Poland.", "Piotr Hallmann was born in Gdynia, Poland on August 25, 1987.", "Piotr Hallmann was born August 25th, 1987 in Gdynia, Poland."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthDate | 1987-08-25, Piotr_Hallmann | birthPlace | Gdynia,_Poland", "doc_id": 1271, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | almaMater | University_of_Cambridge, Cambridge, England, Brandon_Carter | al", "target": ["Brandon Carter who was born in England, graduated from the University of Cambridge and developed General Relativity as his profession. His doctoral advisor was Dennis William Sciama.", "Brandon Carter (born in England) graduated from the University of Cambridge and studied in the field of general relativity. His doctoral advisor is Dennis William Sciama .", "Brandon Carter (born in England) is a physicist in the field of General Relativity. He is a graduate of the University of Cambridge, where his advisor was Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | almaMater | University_of_Cambridge", "doc_id": 1222, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants", "target": ["Robert A.M. Stern is the architect for Alan B. Miller Hall which is located in Virginia at 101 Ukrop Way. The Mason School of Business are the current tenants of the building which is owned by The College of William and Mary.", "Alan B Miller Hall is located in Virginia at 101 Ukrop Way and is owned by The College of William and Mary. It is currently tenanted by The Mason School of Business and was designed by Robert A.M. Stern.", "Virginia's College of William and Mary is the home of the Robert A M Stern designed Alan B Miller Hall at 101 Ukrop Way which houses the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 131, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Pools_of_Light | artist | Brian_Kelly_(composer_&_pianist), Expect_a_", "target": ["Expect a Miracle created and produced by composer and pianist Brian Kelly has a run time of 54.56 minutes. It was preceded by the album Pools of Light.", "Expect a Miracle was produced by Brian Kelly which runs 54.56 minutes, recorded by the artist Brian Kelly. It is preceded by the Brian Kelly album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 1334, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property", "target": ["Pennsylvania's Franklin County is found to the west of Adams County, Pennsylvania and Carroll County, Maryland is to the southeast. A monument to the 11th Mississippi Infantry was erected in 2000 in Adams County and this monument is classed as a contributing property.", "The 11th Mississippi Infantry Monument was established in 2000 in Adams County, Pennsylvania which has Carroll County, Maryland to its southeast and Franklin County, Pennsylvania to its west. The 11th Mississippi Infantry Monument is in the category of contributing property.", "The 11th Mississippi Infantry Monument, established in 2000, falls under the category of Contributing property and is located in Adams County, Pennsylvania, which has Carroll County, Maryland to the southeast and Franklin County, Pennsylvania to the east."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 34, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "00000, Hypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 180000000000000, Hypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 180000000000000, Hypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 180000000000000, Hypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 180000000000000, Hypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas", "target": ["Hypermarcas, a company that makes healthcare products and sells cosmetics, employs 10,252 people. Hypermarcas had a net income of $108,600,000 and its revenue is $1,800,000,000.", "Hypermarcas produces healthcare and cosmetic products. With 10252 employees they have a net income of 108,600,00 and makes $1,800,00,00 a year.", "Hypermarcas, with yearly earnings of 1800000000, has a net income of 108,600,000 and employs 10252 people. The company produces cosmetics and sells healthcare products."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | netIncome | 108600000, Hypermarcas | product | Healthcare, Hypermarcas | product | Cosmetics, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 1800000000", "doc_id": 917, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".mp3.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of", "target": ["Mermaid is a song written by Train and it is distributed digitally.", "The Train song Mermaid is distributed in the digital format.", "The Train song Mermaid is available in the digital format."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | format | Music_download", "doc_id": 879, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"Bersatu\"\nAbdul_Taib_Mahmud | residence | \"Demak Jaya, Jalan Bako, Kuching, Sarawak\", Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumiputera_Bersatu | \"Bersatu\"\nAbdul_Taib_Mahmud | residence | \"Demak Jaya, Jalan Bako, Kuching, Sarawak\", Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumiputera_Bersatu | \"Bersatu\"\nAbdul_Taib_Mahmud | residence | \"Demak Jaya, Jalan Bako, Kuching, Sarawak\", Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumiputera_Bersatu | \"Bersatu\"\nAbdul_Taib_Mahmud | residence | \"Demak Jaya, Jalan Bako, Kuching, Sarawak\", Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumip", "target": ["Abdul Taib Mahmud, member of the Parti Pesaka Bumiputera Bersatu party, resides in Demak Jaya, Jalan Bako, Kuching, Sarawak.", "Abdul Taib Mahmud, a member of the Parti Pesaka Bumiputera Bersatu party, resides in Demak Jaya, Jalan Bako, Kuching, Sarawak."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbdul_Taib_Mahmud | residence | \"Demak Jaya, Jalan Bako, Kuching, Sarawak\", Abdul_Taib_Mahmud | party | Parti_Pesaka_Bumiputera_Bersatu", "doc_id": 28, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | numberOfFaculty | 27400, University_of_Burgundy | number", "target": ["The University of Burgundy has 2900 staff members and 27400 students.", "The University of Burgundy has 27400 students and employs 2900 staff members.", "The University of Burgundy has 27,400 students and 2900 staff members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400", "doc_id": 1134, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | education | occupation | hobbies | interests | favorite things | favorite music | favorite movies | favorite books | favorite TV shows | favorite sports | favorite books | favorite music | favorite movies | favorite TV shows | favorite books | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music", "target": ["Nie Haisheng was born in Zaoyang in Hubei. Haisheng was from the People's Republic of China and was a part of the Shenzhou 10 mission and also took part in the Shenzhou 6 mission.", "Nie Haisheng is a citizen of the People\u2019s Republic of China who was born in Zaoyang, Hubei Province, was a crew member on Shenzhou 6 and took part in the Shenzhou 10 mission.", "Nie Haisheng is from the People's Republic of China and was born in Zaoyang, Hubei, was part of Shenzhou 10 mission and took part in the Shenzhou 6 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 586, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor | Sarah_Teale, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor", "target": ["Tom Simon directed and produced Death on a Factory Farm which was also produced by Sarah Teale. The movie was edited by Geof Bartz and released by HBO.", "Broadcast by HBO, Death on a Factory Farm starred and was produced by Tom Simon and Sarah Teale. It was edited by Geof Bartz.", "The HBO broadcast film Death on a Factory Farm was directed by Tom Simon, who also served as the film\u2019s producer with Sarah Teale. Geof Bartz edited the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | producer | Sarah_Teale", "doc_id": 826, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | rating | Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic, Metacritic,", "target": ["The song Mermaid, written by the pop-rock band Train, lasts 3.16 minutes. Columbia Records released the song on December 27, 2012.", "Mermaid is a pop rock song that is produced and belongs to Train. It was released on December 27th, 2012. The song was released under Columbia Records and is 3:16 seconds long.", "The pop rock song titled, Mermaid, was released on 2012-27-27 by the band train and released by Columbia Records. The song runs for three minutes and sixteen seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | releaseDate | 2012-12-27", "doc_id": 398, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | current", "target": ["Alan B. Miller Hall, which is owned by The College of William and Mary, was designed by the architect Robert A.M. Stern. The address of the hall is 101 Ukrop Way and the current tenants are the Mason School of Business.", "Alan B. Miller Hall, property of The College of William and Mary, was designed by architect Robert A.M. Stern. The location of the building is 101 Ukrop Way and it is currently tenanted by The Mason School of Business.", "Alan B. Miller Hall\u2019s address is 101 Ukrop Way and the building was designed by Robert A.M. Stern. The Mason School of Business are the current tenants and The College of William and Mary are the owners of the building."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | tenant | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 905, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka | \"India\"", "target": ["Acharya Institute of Technology is in Karnataka state in India.", "Acharya Institute of Technology is located in Karnataka, India.", "The Acharya Institute of Technology can be found in India in the state of Karnataka."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1590, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | Judaism, Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | education | University, Abraham_A._Ribicoff | occupation, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | siblings, Abraham_A._Ribicoff | parents, Abraham_A._Ribicoff | siblings, Abraham_A._Ribicoff | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | siblings, Abraham_A._Ribicoff | parents, Abraham_A._Ribicoff | siblings, Abraham_A._Ribicoff | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | parents, Abraham_A._Ribicoff | siblings, Abraham_A._Ribicoff | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | parents, Abraham_A._Ribicoff | siblings", "target": ["John N Dempsey was preceded in office by American citizen Abraham A Ribicoff. Abraham A Ribicoff was born in the United States and was married to Ruth Ribicoff. He was in office at the same time that John F. Kennedy was president.", "Abraham A. Ribicoff was married to Ruth Ribicoff and was in office at the same time as John F. Kennedy was president. He was a national of the United States where he was born and was succeeded by John N. Dempsey.", "Abraham A. Ribicoff, who was in office while John F. Kennedy was president, was wedded to Ruth Ribicoff. He was an American citizen, born in America and was succeeded by John N Dempsey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 1111, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0", "target": ["1147 Stavropolis has a periapsis of 260855000000.0. Its rotation period is 20378.5 and the orbital period of the asteroid 1147 Stavropolis is 1249.6 days.", "The 1147 Stavropolis asteroid has a rotation period of 20378.5, a periapsis of 260855000000, with an orbital period of 1249.6 days.", "1147 Stavropolis has a rotation period of 20378.5, a periapsis of 260855000000.0, and an orbital period of 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 1664, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Spain | airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | runway Length | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid, Spain | airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | runway Length | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid, Spain | airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | runway Length | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid, Spain | airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | runway Length | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid, Spain | airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | runway Length | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Air", "target": ["Adolfo Suarez Madrid-Barajas Airport, operated by ENAIRE, is located in Madrid and has a runway length of 3500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in Madrid which is operated by ENAIRE and has a runway length of 3500.0.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Madrid is operated by ENAIRE and has a runway length of 3,500."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid", "doc_id": 483, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer |", "target": ["Harry Carey, born in 1878, wrote, directed and acted in the film McVeagh of the South Seas which was produced by the Progressive Motion Picture Company. Cyril Bruce also directed the movie which was distributed by Alliance Films Corporation.", "Harry Carey, born in 1878, wrote and directed McVeagh of the South Seas. Cyril Bruce was also a director, while the movie was produced by the Progressive Motion Picture Company and distributed by Alliance Films Corporation.", "Cyril Bruce and the actor Harry Carey, the latter also being the author, both born in 1878, directed the movie \" McVeagh of the South Seas\" which was produced by the Progressive Motion Picture Company and distributed by Alliance Films Corporation."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation", "doc_id": 1437, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| e-mail | t.c.c.", "target": ["University of Cambridge is affiliated with the League of European Research Universities and is the alma mater of Brandon Carter.", "Brandon Carter graduated from the University of Cambridge which is affiliated with the League of European Research Universities.", "Brandon Carter's alma mater is the University of Cambridge affiliated with the League of European Research Universities."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | almaMater | University_of_Cambridge, University_of_Cambridge | affiliation | League_of_European_Research_Universities", "doc_id": 1103, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No", "target": ["The Year of No Light's sludge metal album called Nord was released on Sept 6. 2006 followed by the album Live at Roadburn 2008. The Nord album was produced and released by Year of No Light under the Crucial Blast music label.", "Year of No Light, a sludge metal band, produced and released their album Nord on June 9th 2006 with support from their label Crucial blast. This album preceded their next album Live at Roadburn that was released in 2008.", "The album Nord was released on September 6, 2006, produced by Year of No Light, and is an album by Year of No Light.. Live at Roadburn 2008 was preceded by the album Nord, is in the sludge metal genre, and their record label is Crucial Blast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 1555, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "|\t\"I will verbalize an abstract representation of a sentence in natural language.\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural", "target": ["Piotr Hallmann was born on August 25, 1987.", "Piotr Hallmann's birthday is August 25th 1987.", "Piotr Hallmann was born on the 25th of August 1987."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthDate | 1987-08-25", "doc_id": 10, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | D", "target": ["The University of Burgundy has a 2900 member staff. The university, located in Dijon, serves 1299 doctoral students.", "The University of Burgundy is located in Dijon. The school employs 2900 staff members and currently serves 1299 doctoral students.", "The University of Burgundy, located in Dijon, has 2900 staff members and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon", "doc_id": 1391, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | A", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense in Arapiraca. Agremia\u00e7\u00e3o Sportiva Arapiraquense, nicknamed \"Alvinegro\", lay in the Campeonato Brasileiro S\u00e9rie C league from Brazil.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense in Arapiraca. Alvinegro, the nickname of Agremia\u00e7\u00e3o Sportiva Arapiraquense, play in the Campeonato Brasileiro S\u00e9rie C league from Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 0, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Music_stream, Music_video, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music", "target": ["The Train song Mermaid from the album California 37 was written by Pat Monahan and Train and Espionage was its production team. The song was distributed digitally and was followed by the John Lennon song Imagine.", "Mermaid is a train song from \"California 37\" album produced by the Espionage production team and written by Pat Monahan. Train followed Mermaid with Imagine, a song by John Lennon, and the song is available in the digital format.", "The Train song Mermaid belonging to California 37 Train album was written by Pat Monahan and produced by the production team Espionage. The song Mermaid which was distributed in the digital format was followed by the release of Imagine by John Lennon performed by Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | album | California_37_(Train_album), Mermaid_(Train_song) | writer | Pat_Monahan, Mermaid_(Train_song) | format | Music_download", "doc_id": 536, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The long name of France is the French Republic.", "The formal name for France is the French Republic.", "\"The French Republic\" is the long name of France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFrance | longName | \"French Republic\"", "doc_id": 1272, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC | Ciudad_Ayala | latitude, Ciudad_Ayala | longitude, Ciudad_Ayala | lat/long, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala | longitude, Ciudad_Ayala |", "target": ["Ciudad Ayala in Mexico with population density of 1604.0 and elevated 1147.0 above sea level is in the PDT time zone. The leader here is called the governator.", "Ciudad Ayala is a country in Mexico that is located 1147 above sea level and is in the Pacific Daylight time zone. The population density is 1604 and the leader of Ciudad Ayala is called the governator.", "Ciudad Ayala is located in Mexico and has a population density of 1604. The city stands 1147 m above sea level. The Governator is the leader of Ciudad Ayala located in the Pacific Daylight time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 6, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English, Super_Capers | runtime | 98.0, Super_Capers | distributor | Lionsgate, Super_Capers | language | English,", "target": ["Super Capers is a movie starring Tom Sizemore and Michael Rooker. It\u2019s 98 minutes and plays in English. It is distributed by Lionsgate and Roadside Attractions. Stacy Katzman was the film editor.", "Super Capers is an English-language film edited by Stacy Katzman and starring Michael Rooker and Tom Sizemore. Duration of the movie is 98 minutes, and it was distributed by Roadside Attractions and Lionsgate.", "Super Capers is a movie that stars Tom Sizemore and Michael Rooker. It is edited by Stacy Katzman and runs for 98 minutes. It is distributed by Lionsgate and Roadside Attractions. The movie is in English."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate", "doc_id": 926, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Mexicans, the inhabitants of Mexico, can use their peso currency to purchase a dessert called Bionico. Bionico can be found in Guadalajara, Mexico, and is made from sour cream, chopped fruits, condensed milk, granola, coconut and raisins. They can also buy cookies, another dessert.", "Much like a cookie, Bionico is a dessert food whose ingredients include chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins. Bionico is found in the Guadalajara region of Mexico, which uses pesos are their currency and is home to Mexican people.", "Mexico inhabited by Mexicans has peso as its currency. Bionico, a dessert food found in Guadalajara, Mexico, has sour cream, chopped fruits, condensed milk, granola, raisins and shredded coconut as its main ingredients. Cookie is a type of dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Dessert | dishVariation | Cookie, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Bionico | country | Mexico", "doc_id": 40, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills", "target": ["Juliet Mills is the daughter of John Mills.", "John Mills had a daughter named Juliet Mills.", "The child of John Mills is called Juliet Mills."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | child | Juliet_Mills", "doc_id": 1324, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n16th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 16th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"\n17th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 17th_Mississ", "target": ["The 11th Mississippi Infantry Monument stands in Adams County, Pennsylvania.", "The 11th Mississippi Infantry Monument is located in Adams County in the state of Pennsylvania.", "The 11th Mississippi Infantry Monument's is located in Adams County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\"", "doc_id": 1588, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion", "target": ["Liselotte Grschebina's nationality is Israeli where one of the ethnic groups is Arab.", "Liselotte Grschebina has the nationality of Israel where one of the ethnicities is Arab people.", "Israel has different ethnic groups like Arabs, and Israeli nationals such as Liselotte Grschebina."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Israel | ethnicGroup | Arab_citizens_of_Israel", "doc_id": 85, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Biology, Chemistry, English, French, German, History, Mathematics, Music, Philosophy, Physics, Psychology, Religion, Spanish, and Writing.", "target": ["Lady Anne Monson professional field of study was botany.", "Lady Anne Monson\u2019s professional field is Botany."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | professionalField | Botany", "doc_id": 1355, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | English | Languages | Literature | Philosophy | Politics | Religion | Science | Technology | Travel | Sports | Entertainment | Arts | Entertainment | Food | Fashion | Beauty | Health | Lifestyle | Entertainment | Music | Movies | Books | Music | Books | Movies | Music | Books | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music | Movies | Music |", "target": ["Liselotte Grschebina was born within the German Empire.", "Liselotte Grschebina was born in the German Empire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire", "doc_id": 940, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on", "target": ["Death on a Factory Farm, which was broadcasted by HBO, was edited by Geof Bartz and the music was composed by Jamie Lawrence.", "Death on a Factory Farm, an HBO film edited by Geof Bartz, features music written by Jamie Lawrence.", "\"Death on a Factory Farm\" a film broadcasted by HBO was edited by Geof Bartz with music composed by Jamie Lawrence."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence", "doc_id": 605, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | yearOf birth | year", "target": ["Nurhan Atasoy who was born in Re\u015fadiye , has his residence in Istanbul. Istanbul metro area is 5,343 square kilometers and its time zone is Eastern European Summer Time.", "Nurhan Atasoy whose birth place is Resadiye, also had his residence in Istanbul with a metropolitan area of 5,343 km\u00b2. Istanbul is in the Eastern European Summer time zone.", "Nurhan Atasoy was born in Re\u015fadiye and now lives in Istanbul. Istanbul has a metropolitan area of 5343000000.0 and uses the Eastern European Summer Time time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIstanbul | areaMetro | 5343000000.0, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Nurhan_Atasoy | residence | Istanbul, Istanbul | timeZone | Eastern_European_Summer_Time", "doc_id": 258, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Location Identifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier |", "target": ["The Bedford Aerodrome is located in Thurleigh and has an ICAO location identifier of EGBF.", "The ICAO location identifier for Bedford Aerodrome is EGBF and is located in Thurleigh.", "Bedford Aerodrome in Thurleigh has its International Civil Aviation Organization (ICAO) identifier as EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 628, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Montreal, Quebec, Canada.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | Montreal_Locomotive_Works, Montreal, Quebec, Canada.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | Montreal_Locomotive_Works, Montreal, Quebec, Canada.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder", "target": ["Montreal Locomotive Works built the ALCO RS-3 between May 1950 and August 1956.", "The ALCO RS-3, built by Montreal Locomotive Works, was produced between May 1950 and August 1956.", "The ALCO RS-3 was built by the Montreal Locomotive Works and was produced between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | Montreal_Locomotive_Works", "doc_id": 77, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina born in Karlsruhe died on June 14, 1994 in Petah Tikva, Israel.", "Liselotte Grschebina was born in Karlsruhe and died June 14, 1994, in Petah Tikva, Israel.", "Liselotte Grschebina was born in Karlsruhe and died in Petah Tikva, Israel on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 1573, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | 1249.6, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | 1249.6, 1147_Stavropolis | periapsis | 2608000000.0, 1147_Stavropolis | orbit | 1249.6, 1147_Stavropolis | periapsis | 2608000000.0, 1147_Stavropolis | orbit | 1249.6, 1147_Stavropolis | peri", "target": ["Stavropolis 1147 is an asteroid and has an apoapsis of 418476000000.0 AU and a rotation period of 20378.5. Its epoch is 31 July 2016 (JD2457600.5), its orbital period is 1249.6 and its periapsis is 260855000000.0.", "Discovered on the 11th of June 1929, 1147 Stavropolis's rotation period is 20378.5 with an apoapsis of 418476000000.0 and a periapsis of 260855000000. The asteroid's epoch is 31 July 2016 (Julian Day 2457600.5) with an orbital period of 1249.6 days.", "1147 Stavropolis discovered on June 11, 1929 with epoch 31 July 2016 (Julian Day 2457600.5) has a rotation period of 20378.5 and orbital period of 1249.6 days. The apoapsis and periapsis of 1147 Stavropolis is 418476000000.0 and 260855000000.0 respectively."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 550, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Carroll_County,_Maryland |", "target": ["Carroll County Maryland is southeast of Adams County Pennsylvania where the 11th Mississippi Infantry Monument is located in the municipality of Gettysburg. The 11th Mississippi Infantry Monument is categorised as a contributing property and Pennsylvania's Cumberland County is to the north of Adams County where the monument stands.", "To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland and Cumberland County, Pennsylvania is to its north. The 11th Mississippi Infantry Monument, which falls under the category of Contributing property, is located in Adams County, in the municipality of Gettysburg.", "The location of the 11th Mississippi Infantry Monument is Adams County, Pennsylvania in the municipality of Gettysburg. Adams County has Carroll County, Maryland to its southeast and Cumberland County, Pennsylvania to the north. The monument is categorized as a Contributing Property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 519, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I", "target": ["The runway length at the Bedford Aerodrome is 1095.", "The runway length of the Bedford Aerodrome is 1095.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0", "doc_id": 1082, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak", "target": ["Aleksandr Prudnikov plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev. Prudnikov also played for FC Spartak Moscow's youth team. He is 185 cm. tall.", "Aleksandr Prudnikov, who is 185 cm, plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev. Aleksandr Prudnikov is also a member of the youth side of FC Spartak Moscow."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev", "doc_id": 245, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense, nicknamed Alvinegro, play in the Campeonato Brasileiro S\u00e9rie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, also known as Alvinegro, play in the Campeonato Brasileiro S\u00e9rie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, who are nicknamed Alvinegro, play in the Campeonato Brasileiro S\u00e9rie C league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"", "doc_id": 1417, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_Byrne, John_B", "target": ["Cecil Parker starred in the 1956 movie It's Great to Be Young, directed by Cyril Frankel.", "Directed by Cyril Frankel, the film It's Great to Be Young (1956) stars Cecil Parker.", "Cecil Parker had a main role in the 1956 film 'It\u2019s Great to Be Young', which was directed by Cyril Frankel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 717, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | John_M.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in", "target": ["Harold French was the director of the 89 minute film English Without Tears, where Nicholas Brodszky was the music composer.", "English Without Tears, a film directed by Harold French, is 89 minutes long. The music for the film is composed by Nicholas Brodszky.", "The 89 minute movie \u00b4English Without Tears\u00b4 was directed by Harold French, with its songs composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | director | Harold_French", "doc_id": 1727, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_song | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage, Imagine_(John_Lennon_song)", "target": ["Train followed Mermaid with Imagine is a song by musical artist John Lennon, which has a FIMI certification. It was produced by the production team Espionage.", "Train released Mermaid, produced by the Espionage team, shortly before covering John Lennon's Imagine. Imagine by John Lennon earned the FIMI certification.", "The Train song Mermaid, produced by the Espionage production team, was followed by the band\u2019s cover of the John Lennon song Imagine. Musician John Lennon wrote and also originally performed the song Imagine which is certified by FIMI."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | certification | FIMI, Mermaid_(Train_song) | producer | Espionage_(production_team), Imagine_(John_Lennon_song) | musicalArtist | John_Lennon", "doc_id": 82, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stadium | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow | stadium_Moscow", "target": ["Aleksandr Prudnikov was born on 1989-02-24 and played for FC Spartak Moscow's youth team. Its team grounds are the Otkrytiye Arena.", "Aleksandr Prudnikov was born on February 24, 1989 and is a member of the youth side of FC Spartak Moscow which plays out of Otkrytiye Arena.", "Aleksandr Prudnikov who was born on 24th February 1989, played youth football for FC Spartak Moscow who play at the Otkrytiye Arena."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Spartak_Moscow | ground | Otkrytiye_Arena", "doc_id": 118, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"Navy\", Alan_Shepard | status | \"Retired\", Alan_Shepard | age | \"50\", Alan_Shepard | height | \"5'9\", Alan_Shepard | weight | \"85 kg\", Alan_Shepard | height | \"5'9\", Alan_Shepard | weight | \"85 kg\", Alan_Shepard | height | \"5'9\", Alan_Shepard | weight | \"85 kg\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9\", Alan_Shepard | height | \"5'9", "target": ["Prior to his death in California, Alan Shepard was born on November 18, 1923 in New Hampshire, United States. He served as Chief of the Astronaut Office in 1963 and was awarded the Distinguished Service Medal by the United States Navy.", "American Alan Shepard was born in New Hampshire on November 18th 1923. Shepard was awarded the Distinguished Service Medal from the Navy, he was the chief of the astronaut office in 1963 and he recently passed away in California.", "Alan Shepard (nationality: United States) was born November 18th, 1923 in New Hampshire. He was the chief of the Astronaut office in 1963. The United States Navy awarded the Distinguished service medal to him. He died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status | \"Deceased\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 652, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Poland | age | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | weight", "target": ["Piotr Hallmann (born August 25, 1987) weighs 70.308 kilograms and stands 175.26 cm tall.", "Piotr Hallmann was born on August 25, 2987, weights 70.308 kg and is 175.26 cm tall.", "Piotr Hallmann was born on August 25, 1987, is 175,26 cm tall and weighs 70.308 kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25", "doc_id": 952, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| is a city in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S. state of Michigan.\nThe city is located in the U.S.", "target": ["Detroit is part of Michigan.", "The city of Detroit is located in Michigan.", "The city of Detroit is part of Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDetroit | isPartOf | Michigan", "doc_id": 533, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore", "target": ["Established in 2000 The Acharya Institute of Technology is located in Bangalore and is affiliated with Visvesvaraya Technological University.", "The Acharya Institute of Technology, affiliated with the Visvesvaraya Technological University and established in 2000, is located in Bangalore.", "The Acharya Institute of Technology is located in the city of Bangalore since it was established in 2000, and is affiliated with the Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000", "doc_id": 502, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, USA | almaMater | Humboldt_University, Darinka_", "target": ["Darinka Dentcheva is known for her work with stochastic programming where she has a residence in the state of New Jersey and her alma mater is Humboldt University.", "Darinka Dentcheva, a graduate of Humboldt University, is known for her work with stochastic programming and currently resides in New Jersey.", "Humboldt University is the alma mater of Darinka Dentcheva who resides in New Jersey and is known for Stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey", "doc_id": 289, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | alma", "target": ["Alan Shepard, a United States citizen, who graduated from NWC with an M.A. in 1957, was the Chief of the Astronaut Office in 1963. Shepard was awarded the Distinguished Service Medal by the United States Navy. He was born on November 18th, 1923 in New Hampshire and died in California.", "Alan Shepard was an American who was born on November 18, 1923 in New Hampshire, went to school at NWC and graduated with an MA in 1957, was the Chief of the Astronaut Office in 1963, was awarded the Distinguished Service Medal in the United States Navy and died in California.", "Alan Shepard, a United States native, who graduated from NWC in 1957 with an M.A., served as Chief of the Astronaut Office in 1963, and was awarded the Distinguished Service Medal by the United States Navy. Shepard was born in New Hampshire on November 18, 1923 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1127, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Quine Tape is a collection of recordings made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Quine in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Quine in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Quine in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Quine in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher and logician John Quine in the early 1960s. The tapes were made by the American philosopher and logician John Qu", "target": ["Music group the Velvet Underground released their self-produced Rock music album Bootleg Series Volume 1: The Quine Tapes on 2001-10-16. The album has a total runtime of 230.05 minutes and was recorded in St. Louis Missouri, USA. It was preceded by the band\u2019s album Squeeze.", "The rock album, The Bootleg Series Volume I: The Quine Tapes, was recorded in St. Louis Missouri in the United States and was released on 10-16-2001. The album has a total runtime of 230.05 minutes and was preceded by the band\u2019s album Squeeze.", "Bootleg Series Volume 1: The Quine Tapes was released on October, 16, 2001, has a run time of 230:05, and was preceded by Squeeze by The Velvet Underground.The Bootleg Series Volume I: The Quine Tapes was recorded in the United States but The Quine tapes were recorded in St. Louis, Missouri (but both are rock music genre)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 701, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Leningrad, Russia, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | almaMater", "target": ["Olga Bondareva (born Olga Nikolaevna Bondareva, on April 27, 1937, in Leningrad, USSR) graduated from Leningrad State University and is known for Bondareva-Shapley theorem.", "Olga Bondareva, born in Leningrad, USSR on the date April 27, 1937 as \"Olga Nikolaevna Bondareva\", is alumni of Leningrad State University and known for the Bondareva-Shapley theorem.", "Olga Bondareva with birth name \"Olga Nikolaevna Bondareva\" was born in Leningrad, USSR on April 27, 1937. A Leningrad State University graduate, she is known for Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 109, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Silmarillion| The_Sil", "target": ["The Silmarillion is one of J.R.R. Tolkien's notable works.", "A notable piece of work authored by J.R.R. Tolkien is The Silmarillion.", "The Silmarillion is a famous work of J.R.R. Tolkien."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJ._R._R._Tolkien | notableWork | The_Silmarillion", "doc_id": 335, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English, Brandon_Carter | birthDate | English, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter | birthDate | English, Brandon_Carter |", "target": ["Brandon Carter was born in England on January 1st, 1942. His contributions to the field of general relativity were conducted under Dennis William Sciama, his doctoral advisor.", "Brandon Carter was born in England on January 1, 1942. His doctoral advisor was Dennis William Sciama and his professional field was General Relativity.", "Brandon Carter was born on January 1, 1942 in England. He worked in the field of General Relativity where Dennis William Sciama was his doctoral advisor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 755, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | John_B.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Harold_French, English_Without_Tears | editor | John_B.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Harold_French, English_Without_Tears | editor | John_B.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I", "target": ["English Without Tears was produced by Anatole de Grunwald, directed by Harold French, with Nicholas Brodszky as the composer of the songs used.", "Harold French directed English Without Tears, a film produced by Anatole de Grunwald that features music composed by Nicholas Brodszky.", "English Without Tears. an Anatole de Grunwald produced film directed by Harold French, features music composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Harold_French", "doc_id": 622, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican", "target": ["Bionico dessert is a food found in Mexico (currency: peso). Sandesh is also a dessert.", "Bionico is a dessert food found in Mexico where the local currency is the peso. Another nice dessert is the confectionery Sandesh.", "Bionico is a good dessert option found in Mexico. The tourist can use his remaining Mexican pesos, the Mexican currency, to buy it or another dessert called Sandesh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 682, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | music | John_B.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have seen.\nThe following is a list of the films that I have", "target": ["The movie English Without Tears, which was released on 07-28-1944, was directed by Harold French, edited by Alan Jaggs, and produced by Anatole de Grunwald.", "English Without Tears was a movie directed by Harold French that was released on July 28th 1944. Alan Jaggs edited the movie while Anatole de Grunwald produced it.", "The film English Without Tears was released on July 28, 1944, directed by Harold French, edited by Alan Jaggs, produced by Anatole de Grunwald."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 171, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 2008 | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Year_of_No", "target": ["The Year of No Light album Live at Roadburn 2008 was preceded by the album Nord (produced by Year of No Light ) and followed by the album Karysun / Year of No Light. It was produced by Roadburn Festival.", "The album Nord from The Year of No Light was produced by the band then they followed it up with Live at Roadburn 2008 and after that \"Karysun/Year of No Light\" EP which was produced by Roadburn Festival.", "Nord was produced by Year of No Light. The band followed Nord with Live at Roadburn 2008, which was produced by the Roadburn festival. Year of No Light's next album was Karysun / Year of No Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | followedBy | Karysun_/_Year_of_No_Light, Live_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Roadburn_Festival", "doc_id": 1142, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album", "target": ["Nord is an album by Year Of No Light that falls under the genres of sludge metal and post-metal. It was released in September 6th, 2006. The next album Year Of No Light released was Live at Roadburn 2008.", "Year of No Light followed their album Nord, released on 06-09-2006, with the album Live at Roadburn 2008. The album is in the genres of sludge metal and post metal.", "The Year of No Light album Nord, which was released on the date 2006-09-06, was followed by the album Live at Roadburn 2008. Nord is an album in the sludge metal and post-metal genres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 186, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| writer | Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8rklund, Amund_Bj\u00f8r", "target": ["Train's hit Mermaid was put out by the Sony Music Entertainment record label, was written by Amund Bj\u00f8rklund with the producer Stargate. Train followed Mermaid with Imagine, a song by John Lennon where Mermaid was produced by the Espionage production team.", "The song Mermaid, by Train, is a Sony Music Entertainment release produced by Stargate along with the production team Espionage. Mermaid, written by Amund Bjorklund, is followed by John Lennon's Imagine.", "The Train song Mermaid written by Amund Bj\u00f8rklund and production team Stargate was produced by the production team Espionage and released under the record label Sony Music Entertainment. It was followed by the release of Imagine by John Lennon performed by Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Stargate_(production_team), Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 54, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | producer | Espionage_(production_team) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | producer | Espionage_(production_team) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | producer | Espionage_(production_team) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | producer | Espionage_(production_team) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Am", "target": ["The Train song Mermaid, of the reggae genre, written by Espen Lind and Amund Bj\u00f8rklund with runtime of 3 minutes and 16 seconds was produced by the Espionage production team. It was followed with Imagine, a song by John Lennon.", "The Train song Mermaid, which is an example of the reggae genre, was produced by the Espionage production team and released on 2012-12-27. It was written by band members Espen Lind and Amund Bj\u00f8rklund and was preceded by the song This'll be my year. The song has a total runtime of three minutes and sixteen seconds. The band followed this up with their own cover of John Lennon\u2019s Imagine.", "The song Mermaid was performed by the musical band Train. It was written by band members Espen Lind and Amund Bjorklund in the reggae genre and has a total length of three minutes and sixteen seconds. The song was produced by the production team Espionage and the band followed it up with a cover of John Lennon\u2019s Imagine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 1185, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | Mexico | city | city", "target": ["Bionico is a dessert that comes from the Guadalajara region of Mexico.", "The dessert called Bionico can be found in Guadalajara, Mexico.", "Bionico is a food found in Mexico, served at the dessert course. It can be found in Guadalajara."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Bionico | region | Guadalajara, Bionico | country | Mexico", "doc_id": 1264, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer | director | producer", "target": ["Super Capers is a 98 minute English movie that was distributed by Roadside Attractions and Lionsgate. It was directed by Ray Griggs and edited by Stacy Katzman. The budget was $2,000,000.", "Super Capers, a 98-minute, English-language film distributed by Lionsgate and Roadside Attractions, had a $2,000,000 budget, and was written by Ray Griggs and edited by Stacy Katzman.", "Super Capers, which was distributed by Roadside Attractions and Lionsgate, had a budget of 2,000,000 dollars and a running time of 98 minutes. Super Capers, which is a movie in English, was written by Ray Griggs and edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | language | English_language, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | budget | 2000000.0, Super_Capers | writer | Ray_Griggs_(director)", "doc_id": 741, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music", "target": ["Mermaid is a song by Train which has been released on both the Columbia Records and Sony Music Entertainment record labels.", "The Train song Mermaid was released under the record labels of Sony Music Entertainment and Columbia Records.", "The song Mermaid by Train is on Columbia Records under the Sony Music Entertainment record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment", "doc_id": 1181, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (album) | Turn_Me_On (", "target": ["The album Take It Off! is preceded by the album Turn Me On.", "The album Take It Off! was preceded by the album Turn Me On.", "The album Take It Off! was preceded by the album titled Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTake_It_Off! | precededBy | Turn_Me_On_(album)", "doc_id": 806, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Train song Mermaid is followed by the John Lennon song Imagine.", "The song Mermaid by Train was followed by the release of Imagine by John Lennon performed by Train.", "Train followed Mermaid with Imagine, a song by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 382, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van Buuren, Armin van", "target": ["Andrew Rayel who performed the genre of Trance music is associated with the musical artist Armin van Buuren.", "Andrew Rayel, a trance musician, is associated with the musical artist Armin van Buuren.", "Andrew Rayel is associated with Armin van Buuren and his musical genre is Trance."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | Armin_van_Buuren", "doc_id": 530, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan", "target": ["The Pontiac Rageous was a car with a coupe body style manufactured by Pontiac. Assembled in both Michigan and Detroit, it went into production in 1997, ending in the same year.", "The Pontiac Rageous, a coupe manufactured by Pontiac, was assembled in Detroit, Michigan starting production in 1997. The last production of the Pontiac Rageous was in 1997.", "The Pontiac Rageous, a coupe body style car that was first produced in 1997, was manufactured by Pontiac and assembled in Detroit, Michigan. The last production of the Pontiac Rageous was in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 733, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | B.A. | M.A. | Ph.D. | Email | Website | Twitter | Facebook | Instagram | LinkedIn | Google+ | YouTube | Vimeo | Blog | Google+ | Pinterest | Tumblr | Blogger | Blogspot | WordPress | Blogspot | Blogger | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot | Blogspot |", "target": ["Nie Haisheng from the People's Republic of China was born in Hubei October 13, 1964.", "Nie Haisheng was born on the 13th of October, 1964 in Hubei in the People's Republic of China.", "Nie Haisheng, born in Hubei Province on 10/13/1964, is a citizen of the People's Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 119, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_", "target": ["Tom Simon directed the film \"Death on a Factory Farm\", which was edited by Geof Bartz.", "Directed by Tom Simon, \"Death on a Factory Farm\" was edited by Geof Bartz.", "Tom Simon directed the file Death on a Factory Farm, which was edited by Geof Bartz."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | editor | Geof_Bartz", "doc_id": 489, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music", "target": ["The genre of the Honeymoon Killers is noise rock.", "The Honeymoon Killers are an American band performing in the noise rock genre.", "Noise rock is the genre of the American band The Honeymoon Killers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Honeymoon_Killers_(American_band) | genre | Noise_rock", "doc_id": 232, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs(director) | producer | Ray_Griggs", "target": ["Super Capers, which is a movie written and directed by Ray Griggs, starred Danielle Harris.", "Written and directed by Ray Griggs, the main role in the movie Super Capers went to Danielle Harris.", "Danielle Harris is starring in Super Capers which was written and directed by Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Danielle_Harris, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director)", "doc_id": 1051, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film) | box office | $2,829, It's_Great_to_Be_Young_(1956_film", "target": ["It's Great to Be Young is a 1956 film in which John Mills played a lead role. The film featured Gilbert Taylor as a cinematographer, and it received \u00a3282,838. The duration of the film is around 94 minutes.", "It's Great to Be Young (1956) is a 94 minute long movie starring John Mills. The film, which is in Gilbert Taylor\u2019s cinematography, cost \u00a3282,838 to make.", "The film, \" It's Great to Be Young\" was made in 1956 and lasts 94 minutes. It accumulated 282,838 pounds in the box office. It stars the actor John Mills and the cinematographer is Gilbert Taylor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0", "doc_id": 347, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| bass | guitar | piano | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | bass | drums | vocals | guitar | drums | vocals | guitar | bass | drums | vocals | vocals | guitar | bass | drums | drums | vocals | vocals | guitar | drums | vocals | guitar | bass | drums | vocals | vocals | guitar | drums | vocals | bass | drums | drums | vocals | vocals | guitar | drums | vocals | guitar | drums | vocals | bass | drums | vocals | drums | vocals | guitar | drums | vocals | guitar | drums | vocals | bass | drums | drums | vocals | vocals | guitar | drums | vocals | drums | vocals | guitar | drums | vocals | drums | vocals | guitar | drums | vocals | bass | drums | drums | vocals | drums | vocals | vocals | guitar | drums | vocals | drums | vocals | guitar | drums | vocals | drums | vocals | drums | vocals | guitar", "target": ["The drum kit is an instrument used in the punk blues genre.", "The drum kit is an instrument of punk blues.", "Punk blues usually uses a drum kit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPunk_blues | instrument | Drum_kit", "doc_id": 247, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(", "target": ["Mermaid is a song released on the record label Columbia Records and previously under Sony Music Entertainment. Train is the band that created the 3 minutes and 16 seconds long song.", "The song Mermaid, on Columbia records, under the Sony Music Entertainment record label, was written by the band Train and has a total runtime of three minutes and sixteen seconds.", "The song Mermaid by the musical band Train was released under the record labels Columbia Records and Sony Music Entertainment. The song has a total runtime of 3.16 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment", "doc_id": 1502, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Interests | Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete", "target": ["Cyril Frankel was born in the UK.", "Cyril Frankel's birth place was in the United Kingdom.", "Cyril Frankel was born in the United Kingdom."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCyril_Frankel | birthPlace | United_Kingdom", "doc_id": 1546, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Adams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | \"United States\"\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | \"United States\"\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | \"United States\"\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11", "target": ["The 11th Mississippi Infantry Monument is categorized as a contributing Property; it is in the United States and was established in 2000. The 11th Mississippi Infantry Monument is located in the municipality of Gettysburg in Pennsylvania, Adams County, which is to the east of Franklin County and northwest of Carroll County, Maryland.", "The 11th Mississippi Infantry Monument, located in the municipality of Gettysburg in Adams County Pennsylvania, United States, which is just east of Franklin County, and northwest of Carroll County, Maryland, is categorized as a contributing property, erected in 2000.", "The 11th Mississippi Infantry Monument was established in the year 2000 and falls under the category of Contributing property in the municipality of Gettysburg, Pennsylvania located in the United States and 11th Mississippi Infantry Monument's location is Adams County, Pennsylvania. To the southeast lies Carroll County, Maryland and Adams County Pennsylvania is East of Franklin County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 1393, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul |", "target": ["Nurhan Atasoy is a resident of Istanbul, Turkey. Istanbul is in the Eastern European Summer Time zone.", "Nurhan Atasoy currently takes residence in the Istanbul, Turkey, which is in the Eastern European Summer time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Istanbul | timeZone | Eastern_European_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Nurhan_Atasoy | residence | Turkey", "doc_id": 418, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Bionico (contains raisins) is a food served at the dessert course found in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans.", "Bionico (a dish served for dessert) is a food that contains raisins found in Mexico. The currency in Mexico is the peso inhabited by Mexicans.", "Bionico is a dessert that contains raisins and is found in Mexico, which is inhabited by Mexicans and uses the currency of the peso."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | ingredient | Raisin, Bionico | country | Mexico", "doc_id": 1273, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_Monson | wife | George_", "target": ["Lady Anne Monson's spouse was George Monson.", "The spouse of George Monson is Lady Anne Monson.", "Lady Anne Monson is the spouse of George Monson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | spouse | George_Monson", "doc_id": 62, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears |", "target": ["The movie English Without Tears release date was July 28th, 1944. Anatole de Grunwald was the producer and also the writer of the movie along with Terence Rattigan. The cinematography was done by Bernard Knowles, and the movie runs for 89 minutes.", "English Without Tears, released on 7, 28, 1944, is an 89 minute long film produced and written by Anatole de Grunwald with co-writer Terence Rattigan. Bernard Knowles did the cinematography.", "English Without Tears was an 89 minute film that was released on July 28th, 1944. It was written by Anatole de Grunwald and Terence Rattigan. Grunwald also produced it and Bernard Knowles was the cinematographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0", "doc_id": 525, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal_Locomotive_Works | Montreal", "target": ["Montreal Locomotive Works is the builder of the 12 cylinder ALCO RS-3.", "Built by Montreal Locomotive Works, the ALCO RS-3 has a cylinder count of 12.", "The 12 cylinder ALCO RS-3 was built by the Montreal Locomotive Works."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | builder | Montreal_Locomotive_Works", "doc_id": 573, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | B.A.\nOlga_Bondareva | educationB.A. | M.A. | Ph.D.\nOlga_Bondareva | researchB.A. | M.A. | Ph.D.\nOlga_Bondareva | teachingB.A. | M.A. | Ph.D.\nOlga_Bondareva | translationB.A. | M.A. | Ph.D.\nOlga_Bondareva | translationB.A. | M.A. | Ph.D.\nOlga_Bondareva | teachingB.A. | M.A. | Ph.D.\nOlga_Bondareva | researchB.A. | M.A. | Ph.D.\nOlga_Bondareva | translationB.A. | M.A. | Ph.D.\nOlga_Bondareva | teachingB.A. | M.A. | Ph.D.\nOlga_Bondareva | translationB.A. | M.A. | Ph.D.\nOlga", "target": ["Olga Bondareva was born on April 27, 1937 in Leningrad, USSR.", "Olga Bondareva was born on April 27, 1937 in Leningrad, part of the USSR."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthDate | 1937-04-27", "doc_id": 140, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop_rock | genre | pop", "target": ["Pop rock is the genre of the band Train.", "Train is a pop rock band.", "The genre of the Train band is pop rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrain_(band) | genre | Pop_rock", "doc_id": 925, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | profession | occupation | hobbies | interests | family | hobbies | interests | hobbies | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | hobbies | interests | family", "target": ["Nurhan Atasoy, born of Turkish stock in Turkey on the date 1934-01-01, is a Turkish citizen with a residence in Istanbul.", "Nurhan Atasoy is of Turkish citizenship and nationality. Nurhan lives in Istanbul and was born on January 1st, 1934.", "Nurhan Atasoy, born of Turkish nationality in Turkey on the date 1 January 1934, has a residence in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1562, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group", "target": ["Jamie Lawrence was born on March 8th, 1970.", "Jamie Lawrence was born on March 8, 1970.", "Jamie Lawrence's date of birth was 1970-03-08."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJamie_Lawrence | birthDate | 1970-03-08", "doc_id": 822, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The 1147 Stavropolis, an asteroid with an absolute magnitude of 11.5, was discovered on 11 June 1929.", "The asteroid 1147 Stavropolis, which was discovered on the 11th of June 1929, has an absolute magnitude of 11.5.", "Discovered on June 11, 1929, 1147 Stavropolis boasts an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 981, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United Kingdom | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States | University of California, Berkeley | United States |", "target": ["Brandon Carter, born in England on January 1, 1942, had Dennis William Sciama as his doctoral advisor.", "Dennis William Sciama was the doctoral advisor of Brandon Carter who was born in England on January 1st 1942.", "Brandon Carter, who was born in England on 01-01-1942, has a doctoral advisor named Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | birthPlace | England", "doc_id": 1015, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The", "target": ["HBO's former name was 'The Green Channel'.", "HBO's former name was The Green Channel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHBO | formerName | The Green Channel", "doc_id": 539, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | periapsis | 260855000000.0", "target": ["1147 Stavropolis epoch is 31 July 2016 (Julian Day 2457600.5). It was discovered by Grigory Neujmin. Its orbital period of the asteroid is 1249.6 days and the periapsis is 260855000000.", "1147 Stavropolis epoch is 31 July 2016 (Julian Day 2457600.5). It was discovered by Grigory Neujmin. It has a periapsis of 260855000000.0 and the orbital period of the asteroid 1147 Stavropolis is 1249.6 days.", "The periapsis of 1147 Stavropolis, discovered by Grigory Neujmin, is 260855000000.0. The epoch of 1147 Stavropolis is 31 July 2016 (JD2457600.5) and the orbital period of 1147 Stavropolis is 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 675, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_", "target": ["The Velvet Underground recorded the 230.05 minute long album Bootleg Series Volume 1: The Quine Tapes in the United States.", "Music group the Velvet Underground released album Bootleg Series Volume 1: The Quine Tapes, which has a runtime of 230.05 minutes and was recorded in the United States.", "Bootleg Series Volume 1: The Quine Tapes is by The Velvet Underground with a runtime of 230:05, and was recorded in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States", "doc_id": 783, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", \"A Grammar of Natural Language\"\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in", "target": ["Grigory Neujmin discovered 1147 Stavropolis which has 418476000000.0 apoapsis.", "1147 Stavropolis was discovered by Grigory Neujmin. The 1147 Stavropolis asteroid has an apoapsis of 418476000000.0 AU.", "1147 Stavropolis was discovered by Grigory Neujmin and has an apoapsis of 418476000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discoverer | Grigory_Neujmin", "doc_id": 784, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA | NASA", "target": ["Buzz Aldrin, an Apollo 11 crew member, was born in Glen Ridge, New Jersey.", "Born in Glen Ridge, New Jersey, Buzz Aldrin was an Apollo 11 crew member.", "Buzz Aldrin born in Glen Ridge, New Jersey was a crew member of Apollo 11."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | birthPlace | Glen_Ridge,_New_Jersey, Buzz_Aldrin | mission | Apollo_11", "doc_id": 551, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico", "target": ["Ciudad Ayala, Mexico has a leader called the Governator.", "In Ciudad Ayala which is in the country of Mexico, the leader is called the governator.", "Ciudad Ayala led by governator is in the country of Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | country | Mexico", "doc_id": 509, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["The album Nord by the artist Year of No Light, was released by the record label Crucial blast on the E-Vinyl record label.", "Nord is an album by Year of No Light which was released on the Crucial Blast and E-Vinyl labels.", "Nord is an e-vinyl album by Year of No Light on the record label Crucial Blast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl", "doc_id": 1729, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New_Media | GMA_New", "target": ["GMA New Media is located in the GMA Network Center.", "GMA New Media headquarters are located in the GMA Network Center.", "GMA New Media is located inside GMA Network Center."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | GMA_Network_Center", "doc_id": 73, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicScore | Louis_Levy", "target": ["The 1956 movie It's Great to Be Young was directed by Cyril Frankel, composed by Louis Levy, and its length is 94 minutes.", "It's Great to be Young (1956 film) was directed by Cyril Frankel, composed by Louis Levy and has a running time of 94 minutes.", "This movie of 94 minutes, 'It's great to be young', from 1956 was directed by Cyril Frankel and Louis levy was the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 938, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | isPartOf | Morelos | leader | Adri\u00e1n_", "target": ["One of the leaders of Ciudad Ayala is the city manager, its part of Morelos and one of the leaders of the Mexican state of Morelos is Adrian Rivera Perez.", "Ciudad Ayala is a part of Morelos. Adrian Rivera Perez is one of the leaders of the Mexican state of Morelos, and one of the leaders of Ciudad Ayala is the city manager.", "Ciudad Ayala is part of Morelos whose leader also known as City Manager is Adri\u00e1n Rivera P\u00e9rez."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMorelos | leader | Adri\u00e1n_Rivera_P\u00e9rez, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | isPartOf | Morelos", "doc_id": 1615, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight", "target": ["Nie Haisheng is from the People's Republic of China, and he was part of the mission Shenzhou 10, now took part in the Shenzhou 6 mission.", "Chinese national Nie Haisheng participated in Shenzhou 6 and Shenzhou 10.", "Nie Haisheng was part of Shenzhou 10 mission, took part in the Shenzhou 6 mission, and he is from the People's Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 1109, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",_Missouri, St._Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1", "target": ["The location that the Bootleg Series Volume 1: The Quine Tapes was recorded in was St. Louis, Missouri, and San Francisco, which is in the Pacific Time Zone.", "Bootleg Series Volume 1: The Quine Tapes was recorded in San Francisco in the time zone in San Francisco is Pacific Time with the Quine tapes were recorded in St. Louis, Missouri.", "Bootleg Series Volume 1: The Quine Tapes was recorded in St. Louis Missouri and San Francisco. The latter is on Pacific Time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, San_Francisco | timeZone | Pacific_Time_Zone, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 1083, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | occupation | hobbies | interests | family | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | spouse | children | grandchildren | grandchildren | grandchildren | spouse | children | grandchildren", "target": ["In the United States there is an ethnic group called the African Americans. This is also where Abraham A. Ribicoff was born and where he was married to his wife Ruth Ribicoff. In his career he was succeeded by Anthony J. Celebrezze.", "Abraham A. Ribicoff was born in the USA where African Americans are an ethnic group and was married to Ruth Ribicoff. He was succeeded in his role by Anthony J. Celebrezze.", "Abraham A. Ribicoff was born in the United States where African Americans are a national ethnic group. He was married to Ruth Ribicoff and was succeeded by Anthony J. Celebrezze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | successor | Anthony_J._Celebrezze, Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans", "doc_id": 545, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_", "target": ["Nicholas Brodszky has a non-performing background.", "Nicholas Brodszky was a non-performing staff.", "Nicholas Brodszky was a part of non-performing personnel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNicholas_Brodszky | background | non_performing_personnel", "doc_id": 1235, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | sportsOffered | Tennis, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy |", "target": ["The Acharya Institute of Technology is affiliated to Visvesvaraya Technological University, and offers Tennis as a sport. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Tennis is one of the sports offered at the Acharya Institute of Technology which is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Acharya Institute of Technology was given the 'Technical Campus' status by All India Council for Technical Education, has tennis as one of their sports offered and is affiliated with the Visvesvaraya Technological University. All India Council for Technical Education is located in Mumbai and the campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | sportsOffered | Tennis, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 251, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | rock | Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | pop | Turn_Me_On_(album) | producer | The_H", "target": ["The run time of the album Turn Me On is 35.1 minutes where the artist is the Honeymoon Killers with punk blues as the genre. Turn Me On album is self-produced by the American band Honeymoon Killers with noise rock as the genre of the album.", "Turn Me On is a punk blues album produced by The Honeymoon Killers that has run time of 35.1 minutes. The genre of the Turn Me On album is noise rock.", "The punk blues album Turn Me On is an example of noise rock. It is by the American band The Honeymoon Killers who also produced the album. It is 35 minutes and 10 seconds in length."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Noise_rock", "doc_id": 295, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["John Lennon wrote the song Imagine, and then wrote Power to the People.", "The John Lennon song Imagine is preceded by the song Power to the People.", "The John Lennon song Imagine is preceded by Power to the People."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | precededBy | Power_to_the_People_(song)", "doc_id": 1238, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | birthPlace | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate |", "target": ["Brandon Carter was born on January 1, 1942 and worked professionally in the field of General Relativity. Brandon Carter was known for the Carter Constant and his contributions to the no-hair theorem. Dennis William Sciama was his doctoral advisor.", "Brandon Carter (born on born on 01-01-1942) is a professional in the field of general relativity, known for for the Carter constant and the No-hair theorem. Dennis William Sciama was his doctoral advisor.", "Brandon Carter (born in January 1, 1942) is a physicist whose professional field was on General Relativity, known for invention of the Carter constant and proving the no-hair theorem. His doctoral advisor was Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 594, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so,", "target": ["The album Nord by the Year of No Light whose record label is Crucial Blast was released on E-Vinyl record label on September 6, 2006 with a runtime of 58 minutes and 41 seconds.", "The Year of No Light, 58.41 minute E-Vinyl album, Nord was released on the Crucial Blast label on 2006-09-06.", "Nord is an album by Year of No Light released on 06-09-2006 by the record label Crucial blast with the length of 58.41 and record label is E-Vinyl."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41", "doc_id": 412, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11", "target": ["1147 Stavropolis is an asteroid, discovered on 11 June 1929 has an orbital period of 1249.6, apoapsis of 418476000000.0 AU. while having absolute magnitude of 11.5 .", "1147 Stavropolis was discovered on June 11, 1929 with an orbital period of 1249.6 days and an apoapsis of 418476000000.0. It has an absolute magnitude of 11.5.", "With an absolute magnitude of 11.5, the asteroid 1147 Stavropolis was discovered in June of 1929. It has an orbital period of 1249.6 days and an apoapsis of 418476000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 1578, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ph.D.", "target": ["The editing of the movie English Without Tears was done by Alan Jaggs.", "The editing of the movie English Without Tears is done by Alan Jaggs.", "Alan Jaggs was a film editor for English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | editing | Alan_Jaggs", "doc_id": 790, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Buzz Aldrin, part of the Apollo 11 crew, was born on January 20th, 1930.", "An Apollo 11 crew member, Buzz Aldrin, was born on January 20, 1930.", "Buzz Aldrin (born on 1930-01-20),was a crew member on Apollo 11."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | mission | Apollo_11, Buzz_Aldrin | birthDate | \"1930-01-20\"", "doc_id": 1408, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["The University of Burgundy in Dijon has 27400 students.", "The University of Burgundy is located in Dijon and has 27400 students.", "The campus of the University of Burgundy is located in Dijon and has 27400 number of students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | campus | Dijon", "doc_id": 751, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorthEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorthEast |", "target": ["The 11th Mississippi Infantry Monument is located in Adams County, in the state of Pennsylvania which is northwest to Carroll County Maryland.", "The 11th Mississippi Infantry Monument is located in Adams County, the state of Pennsylvania which is located northwest to Carroll County, Maryland.", "The 11th Mississippi Infantry Monument is in Adams County, Pennsylvania. To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland", "doc_id": 158, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To", "target": ["The BBC, which is based at Broadcasting House in London, first broadcast Bananaman on 10/03/1983.", "The BBC are located at Broadcasting House in London. They broadcast Bananaman which was shown for the first time on 03/10/1983.", "Bananaman was first shown on the BBC, which is based at Broadcasting House, on the 3rd of October, 1983."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 1152, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico", "target": ["Ciudad Ayala (a city in Mexico) has a leader called the Governator and it is part of Morelos.", "In Ciudad Ayala, a Mexican city and part of Morelos, the leader is called the governator.", "Ciudad Ayala is a part of Morelos, in Mexico. One of the city's leaders is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico", "doc_id": 1603, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1", "target": ["The absolute magnitude of 1147 Stavropolis is 11.5.", "1147 Stavropolis absolute magnitude is 11.5 .", "1147 Stavropolis has an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 1763, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_", "target": ["Brandon Carter is known for the Carter constant and the No-hair theorem.", "Brandon Carter is known for the invention of the Carter constant and for proving the no-hair theorem.", "Brandon Carter is known for the Carter Constant and also for his contributions to the no-hair theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem", "doc_id": 1135, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| ActiveYearsStartYear | 1954-01-01 | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStartYear | ActiveYearsStart", "target": ["Adam West got his first role in 1954.", "Adam West has been an actor since 1954.", "Adam West started his career from the year 1954."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdam_West | activeYearsStartYear | 1954-01-01", "doc_id": 1046, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | age, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner", "target": ["Aaron Turner, an American singer and musician in the Lotus Eaters band, started performing in 1995 in post metal genre.", "Aaron Turner is a post-metal singer from the US who started performing in 1995 and is a musician in the Lotus Eaters band.", "Aaron Turner was a post-metal singer born in the the United States who started performing in 1995 and is in the Lotus Eaters band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | instrument | Singing, Aaron_Turner | origin | United_States, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1556, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cumberland_County,_Pennsylvania | hasToItsSouth | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania, Cumberland_County,_Pennsylvania | hasToItsEast | Cumberland_County,_Pennsylvania", "target": ["Cumberland county, Pennsylvania is north of Adams County, Pennsylvania, the location of the 11th Mississippi Infantry Monument in Gettysburg.", "The 11th Mississippi Infantry Monument is in the municipality of Gettysburg, Adams County, Pennsylvania which is south to the Pennsylvania's Cumberland County.", "11th Mississippi Infantry Monument is situated in Adams County, Pennsylvania, in the municipality of Gettysburg. Adams County, Pennsylvania has Cumberland County, Pennsylvania to its north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1757, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | narrator | editor | sound designer | music composer | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer | sound editor | sound designer |", "target": ["\"English Without Tears\" was produced by Anatole de Grunwald.", "Anatole de Grunwald was the producer of 'English Without Tears'.", "Anatole de Grunwald is the producer of English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 102, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | Mysore | Mysore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Ach", "target": ["The city of Bangalore, founded in the state of Karnataka, India By Kempe Gowda I, is home to the Acharya Institute of Technology. Its campus with Technical Status designated by the All India Technical Council for Technical Education in Mumbai, is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, and the institute is directed by Dr. G.P. Prabhukumar.", "The city of Bangalore, in Karnataka state, India, was founded by Kempe Gowda I, and is home to the Acharya Institute of Technology, a campus located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, directed by Dr. G.P. Prabhukumar, and proudly designated a Technical Campus by the All India Council for Technical Education of Mumbai.", "The city of Bangalore, founded in Karnataka state, India, by Kempe Gowda I, is home to the Acharya Institute of Technology, a Technical Campus designated by the All India Council for Technical Education of Mumbai, directed by Dr. G. P. Prabhukumar and located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1399, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| HBO GO | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On Demand | HBO On", "target": ["HBO and Cinemax are sister stations.", "HBO is a sister station with Cinemax.", "Cinemax is a sister channel with HBO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHBO | sisterStation | Cinemax", "doc_id": 210, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_On_(album) | genre | Punk_blues | The_Honeymoon_Killers (American_band), Turn_Me_", "target": ["The genre of the Honeymoon Killers' album Turn Me On is punk blues.", "The punk blues band The Honeymoon Killers made the album Turn Me On.", "The album Turn Me On, a punk blues album, is by the American band The Honeymoon Killers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues", "doc_id": 1518, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | music | John_Baker, It's_Great_to_Be_Young_(1956_film) | production | John_Baker, It's_Great_to_Be_Young_(1956_film) | cinematographer | John_Baker, It's_Great_to_Be_Young_(1956_film) | production designer | John_Baker, It's_Great_to_Be_Young_(1956_film) | art director | John_Baker, It's_Great_to_Be_Young_(1956_film) | production designer | John_Baker, It's_Great_to_Be_Young_(1956_film) | art director | John_Baker, It's_Great_to_Be_Young_(1956_film) | production designer | John_Baker, It's_Great_to_Be_Young_(1956_film) | art director | John_Baker, It's_Great_to_Be_Young_(1956_film) | production designer | John_Baker,", "target": ["Cecil Parker starred in the 1956 movie It's Great to Be Young which was written by Ted Willis and edited by Max Benedict.", "The 1956 film 'It's great to Be Young' was written by Ted Willis, and edited by Max Benedict. The film stars Cecil Parker.", "\u201cIt\u2019s great to be young\u201d, a 1956 film starring Cecil Parker was written by Ted Willis and edited by Max Benedict."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict", "doc_id": 1130, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_N", "target": ["Alan Shepard was born in New Hampshire, U.S.A., on November 18, 1923. He served in the U.S. Navy and earned the Distinguished Service Medal. He died on July 12, 1998, in California.", "The American Alan Shepard was born in New Hampshire on November 18th, 1923, and passed away on July 21st, 1998, in California. He was awarded the Distinguished Service Medal by the United States Navy.", "Alan Shepard was born in New Hampshire, America, on November 18th, 1923. He was awarded the Distinguished Service Medal in the United States Navy. He died in California on July 21st, 1998."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | deathDate | \"1998-07-21\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 278, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence | State_Award_for_Excellence", "target": ["Nurhan Atasoy, born in Resadiye, has been awarded the State Award for Superior Achievement.", "Nurhan Atasoy, a recipient of the State Award for Superior Achievement, was born in Re\u015fadiye.", "Nurhan Atasoy, winner of the State Award for Superior Achievement, was born in Re\u015fadiye."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement", "doc_id": 1354, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater |", "target": ["Brandon Carter, best known for the Carter constant and the No-hair theorem, is a professional in the field of general relativity. He was born in England and studied at the University of Cambridge, where he was advised by Dennis William Sciama.", "Brandon Carter was born in England. He graduated from the University of Cambridge, where Dennis William Sciama was his doctoral advisor. Carter is a professional in the field of general relativity. He is known for the Carter Constant and for his contributions to the no-hair theorem.", "Physicist Brandon Carter, known for his proof of the no-hair theorem and the invention of the Carter constant, was born in England and attended the University of Cambridge, where his doctoral advisor, Dennis William Sciama, prepared him for success in the field of General Relativity."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | almaMater | University_of_Cambridge", "doc_id": 574, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish_people, Turkish", "target": ["Nurhan Atasoy is a Turkish national (full name \"Republic of Turkey\") with Turkish citizenship. The primary language spoken in Turkey is Turkish.", "Nurhan Atasoy, whose nationality is Turkish, is a citizen of Turkey. Turkey\u2019s long name is \u201cThe Republic of Turkey\u201d and the language spoken is Turkish.", "Nurhan Atasoy is a citizen of the Republic of Turkey. Turkish is the primary language of that country."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | longName | \"Republic of Turkey\", Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | citizenship | Turkey, Turkey | language | Turkish_language", "doc_id": 965, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_", "target": ["Darinka Dentcheva, an American citizen known for her work with stochastic programming, developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva, an American citizen known for her work with stochastic programming, was influenced by Andrzej Piotr Ruszczynski.", "Citizen of the United States, Darinka Dentcheva, is known for Stochastic programming and was influenced by the work of Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 583, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["Super Capers' gross income was $30,955.", "The film Super Capers grossed $30,955.", "The box office of Super Capers is $30955.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | gross | 30955.0", "doc_id": 1303, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | author | J._R._R", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien and published by George Allen & Unwin.", "The Fellowship of the Ring was written by J.R.R . Tolkien; George Allen & Unwin published it.", "The author of The Fellowship of the Ring, which is published by George Allen & Unwin, is J.R.R. Tolkien."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 1252, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pont", "target": ["The Pontiac Rageous was a car with a coupe body style that was manufactured by Pontiac, first produced in 1997 and last produced in 1997 as well.", "The Pontiac Rageous which has a coupe body style was manufactured by Pontiac only in 1997.", "The coupe, the Pontiac Rageous, was first and last made in 1997 by Pontiac."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 858, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government | Politics | Government", "target": ["Turkey, the birthplace of Nurhan Atasoy, has a unitary government.", "Nurhan Atasoy was born in the unitary state of Turkey.", "Turkey is a unitary state that is the birthplace of Nurhan Atasoy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Turkey, Turkey | governmentType | Unitary_state", "doc_id": 1625, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky.\nI will show a sentence in natural language. To do so", "target": ["The music of the film English Without Tears is composed by Nicholas Brodszky.", "Nicholas Brodszky composed music of the movie English Without Tears.", "Nicholas Brodszky was a composer of the songs that were used in English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky", "doc_id": 75, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | education | family | hobbies | interests | occupation | profession | hobbies | interests | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession", "target": ["Nie Haisheng was born on the 13th of October, 1964 and is from the People's Republic of China.", "Nie Haisheng, born on 10/13/1964, is a citizen of the People's Republic of China.", "Nie Haisheng was born on October 13, 1964 in the People's Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 485, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills", "target": ["Hayley Mills is the child of John Mills.", "John Mills has a child named Hayley Mills.", "Hayley Mills is a child of John Mills."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | child | Hayley_Mills", "doc_id": 1687, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Music_stream, Music_video, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music", "target": ["\u201cMermaid\u201d is a song by Train on their \u201cCalifornia 37\u201d album. The song was produced by the Espionage production team and Stargate. It was written by Amund Bjorklund and is available in digital format.", "The Train song Mermaid belonging to the California 37 Train album was written by Amund Bj\u00f8rklund and production team Stargate. It was produced by the production team Espionage and distributed in the digital format.", "The song Mermaid written by Amund Bjorklund and Train , produced by Stargate is off the album California 37 by the band Train. It was distributed digitally by the production team Espionage."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Stargate_(production_team), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | album | California_37_(Train_album), Mermaid_(Train_song) | format | Music_download", "doc_id": 1610, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard", "target": ["Alan Shepard was born in New Hampshire on November 18, 1923 and later died in California. Shepard served as a crew member of Apollo 14 and served as Chief of the Astronaut Office in 1963.", "Alan Shepard was born on November 18th, 1923 in New Hampshire and later died in California. Shepard was a crew member of Apollo 14 and was also the Chief of the Astronaut Office in 1963.", "Alan Shepard was born on Nov 18, 1923 in New Hampshire, was the Chief of the Astronaut Office in 1963, was a member of the Apollo 14 crew and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14", "doc_id": 1004, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", \"The Discoverer\"\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to", "target": ["1147 Stavropolis was discovered by Grigory Neujmin.", "The discoverer of 1147 Stavropolis is Grigory Neujmin.", "Grigory Neujmin discovered 1147 Stavropolis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin", "doc_id": 815, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The location of Trane is Swords Dublin where the County Manager is leader.", "The title of the leader of Swords, Dublin, where Trane is located, is County Manager.", "Trane is located in Swords, Dublin, where the leader title is called \"County Manager.\""], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | location | Swords,_Dublin, Swords,_Dublin | leaderTitle | \"County Manager\"", "doc_id": 1584, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South_German_gulden | South", "target": ["The German Empire's currency is the South German gulden.", "The currency of the German Empire is South German gulden.", "In the German Empire one of the units of currency was the South German Gulden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGerman_Empire | currency | South_German_gulden", "doc_id": 424, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_New_Media | subsidiary | Digify, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nGMA_New_Media | keyPerson | Felipe_Gozon, GMA_New_Media | industry | Entertainment, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | subsidiary | Digify, Inc., GMA_New_Media | subsidiary | Digify, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nGMA_New_Media | keyPerson | Felipe_Gozon, GMA_New_Media | industry | Entertainment, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | subsidiary | Digify, Inc., GMA_New_Media | subsidiary | Digify, Inc.", "target": ["GMA New Media, led by Felipe Gozon, is an entertainment company that is a subsidiary of GMA Network and owns Philippine Entertainment Portal and Digify, Inc.", "Felipe Gozon is CEO at GMA New Media, an entertainment company. GMA New Media operates under GMA Network with subsidiaries Digify and Philippine Entertainment Portal.", "GMA New Media, Inc. is a subsidiary of GMA Network. GMA New Media offers applications in the Entertainment Industry. Felipe Gozon is the key person in GMA New Media. Both Philippine Entertainment Portal, Inc. and Digify Inc. are subsidiaries of the company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | keyPerson | Felipe_Gozon, GMA_New_Media | industry | Entertainment, GMA_New_Media | subsidiary | Philippine_Entertainment_Portal, GMA_New_Media | subsidiary | Digify,_Inc., GMA_New_Media | parentCompany | GMA_Network_(company)", "doc_id": 448, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard", "target": ["Alan Shepard was an American who was born on November 18, 1923 in New Hampshire, served as a crew member of Apollo 14 and died in California.", "Alan Shepard was born November 18th, 1923 in New Hampshire and his nationality was the United States. Shepard was a crew member of Apollo 14 and later died in California.", "Alan Shepard, an American, was born on Nov 18, 1923 in New Hampshire. Shepard was a member of the Apollo 14 crew and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14", "doc_id": 1045, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States | The_Velvet_Underground, Bootleg_Series_Volume_1:_", "target": ["The Velvet Underground had created the album Bootleg Series Volume 1: The Quine Tapes, which was produced by The Velvet Underground and recorded in the United States.", "The Velvet Underground recorded and produced the Bootleg Series Volume 1: The Quine Tapes in the United States.", "The album Bootleg Series Volume 1: The Quine Tapes, produced and released by musical group The Velvet Underground, was recorded in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States", "doc_id": 707, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | director | editor | cinematographer | sound | music | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music | sound | art | design | production | post-production | music", "target": ["Justin Whalin stars in Super Capers, which is written by director Ray Griggs.", "Super Capers, starring Justin Whalin, is a film written by Ray Griggs.", "Ray Griggs wrote Super Capers, which stars Justin Whalin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Justin_Whalin, Super_Capers | writer | Ray_Griggs_(director)", "doc_id": 1447, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Baku Turkish Martyrs' Memorial is dedicated to the Ottoman Army soldiers killed in the Battle of Baku, which was designed by H\u00fcseyin B\u00fct\u00fcner and Hilmi G\u00fcner.", "The Baku Turkish Martyrs Memorial designed by Huseyin Butuner and Hilmi Guner has been dedicated to Ottoman Army soldiers killed in the Battle of Baku.", "The Baku Turkish Martyrs' Memorial is dedicated to the Ottoman Army Soldiers killed in the Battle of Baku designed by H\u00fcseyin B\u00fct\u00fcner and Hilmi G\u00fcner."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBaku_Turkish_Martyrs'_Memorial | dedicatedTo | \"Ottoman Army soldiers killed in the Battle of Baku\", Baku_Turkish_Martyrs'_Memorial | designer | \"H\u00fcseyin B\u00fct\u00fcner and Hilmi G\u00fcner\"", "doc_id": 1452, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State", "target": ["Olga Bondareva, born as Olga Nikolaevna Bondareva, was born on April 27th, 1937. She graduated from Leningrad State University, earning fame for the Bondareva-Shapley theorem. Olga died in Saint Petersburg.", "Olga Nikolaevna Bondareva was born on April 27, 1937. A student of Leningrad State University, Bondareva is known for Bondareva-Shapley Theorem. Bondareva died in Saint Petersburg.", "Olga Bondareva (born on April 27, 1937 and died in Saint Petersburg) her birth name was Olga Nikolaevna Bondareva. She graduated from Leningrad State University and is known for Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 1628, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry, Trane | industry", "target": ["The Trane company which is located in Ireland is in the building materials industry. It was founded on January 01, 1913 in LaCrosse, Wisconsin.", "Trane, located in Ireland, was founded on 1913-01-01 in La Crosse, Wisconsin. Trane's industry is building materials.", "Trane, founded on 01-01-1924, is a industrial building materials company. Its headquarters are located in La Crosse, Wisconsin, but also has an office in Ireland."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | foundingDate | 1913-01-01, Trane | location | Ireland, Trane | foundationPlace | La_Crosse,_Wisconsin, Trane | industry | Building_materials", "doc_id": 1372, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL", "target": ["Born in 1989, Akeem Ayers began his NFL career with the Tennessee Titans.", "Akeem Ayers, born in 1989, made his debut for the Tennessee Titans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAkeem_Ayers | birthYear | 1989, Akeem_Ayers | debutTeam | Tennessee_Titans", "doc_id": 126, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Phil_Spector, Mermaid_(Train_", "target": ["The John Lennon song Imagine is produced by Phil Spector, but The Train song Mermaid, which is followed by the song Imagine, was produced by the Espionage production team.", "The song Mermaid by Train (produced by the production team Espionage) was followed by the release of Imagine by John Lennon (which was produced by Phil Spector) performed by Train.", "Train followed Mermaid with Imagine, a song by John Lennon produced by Phil Spector's production team Espionage."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | producer | Phil_Spector, Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 1430, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in the basement of his home in San Francisco, California. The tapes were discovered in the basement of his home in San Francisco, California in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in the basement of his home in San Francisco, California. The tapes were discovered in the basement of his home in San Francisco, California in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in the basement of his home in San Francisco, California. The tapes were discovered in the basement of his home in San Francisco, California in the early 1960s.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by Quine in the basement of his home in San Francisco, California. The tapes were discovered in the basement of his home in San Francisco", "target": ["Recorded in San Francisco and released October 16, 2001, Bootleg Series Volume 1: The Quine Tapes is 230.05 minutes long. It was preceded by the Velvet Underground album Squeeze.", "The Bootleg Series Volume I: The Quine Tapes, recorded in San Francisco with a run time of 230:05 and released in 2001-10-16 was preceded by Squeeze by The Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 631, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to", "target": ["It's Great to be Young is a 1956 film starring John Mills and Cecil Parker. Louis Levy composed the music for the film.", "It's Great to Be Young includes John Mills and Cecil Parker in its cast, and includes music composed by Louis Levy.", "John Mills and Cecil Parker had lead and main roles, respectively, in the 1956 film It\u2019s Great to be Young. The music composer for the movie was Louis Levy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 1587, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".", "target": ["The periapsis of 1147 Stavropolis is 260855000000.", "The periapsis of 1147 Stavropolis is 260855000000.0.", "1147 Stavropolis has a periapsis of 260855000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 1290, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05.2001 | releaseDate", "target": ["Bootleg Series Volume 1: The Quine Tapes released on October 16, 2001 is 230.05 minutes long.", "Bootleg Series Volume 1: The Quine Tapes, released in 2001-10-16 has a run time of 230:05.", "The album Bootleg Series Volume 1: The Quine Tapes, which has a runtime of 230.05 minutes, was released on 10-16-2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 995, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Post-metal,", "target": ["The sludge and post-metal album Nord by Year of No Light was released September 6, 2006 after the album Demo (2004). It comprises of 58 minutes and 41 seconds of sound.", "The Nord album was preceded by the Demo 2004 album, has a length of 58:41, and was produced by the band. The release date of Nord, Year of No Light Album, is 06-09-2006, and it is an album by Year of No Light in the sludge metal and post-metal genre.", "The post-metal album, Nord, was produced by sludge metal band, Year of No light and released on 2006-09-06. The album runs for 58.41 minutes and followed The Year of No Light's demo album from 2004."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album)", "doc_id": 562, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony_Music_Entertainment | owner | Sony_Corporation, Sony", "target": ["The band Train\u2019s hit song Mermaid was released under the record label Columbia Records and also Sony Music Entertainment which is owned by the Sony Corporation.", "The song Mermaid, by the band Train, is on Columbia Records under the Sony Music Entertainment label, which is owned by Sony Corporation.", "Mermaid, a song by Train, was initially released on the Columbia Records record label, but it has also been released under the record label Sony Music Entertainment, which is owned by Sony Corporation."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records, Sony_Music_Entertainment | owner | Sony_Corporation, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment", "doc_id": 475, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absolutePeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_St", "target": ["1147 Stavropolis, an asteroid with an orbital period of 1249.6 days with 11.5 absolute magnitude, was discovered by Grigory Neujmin. This asteroid has an apoapsis of 418476000000.0 and periapsis of 260855000000.0.", "1147 Stavropolis was discovered by Grigory Neujmin. Its absolute magnitude is 11.5, periapsis is 260855000000, the orbital period of the asteroid is 1249.6 days and the apoapsis is 418476000000.0.", "Discovered by Grigory Neujmin, the asteroid 1147 Stavropolis has an apoapsis of 418476000000.0 AU and an absolute magnitude of 11.5. Its periapsis is 260855000000.0 and its orbital period is 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 1022, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "00000, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermarcas | numberOfEmployees | 180000000000000, Hypermar", "target": ["Hypermarcas earns a revenue of $1,800,000,000, thanks to the efforts of its 10,252 employees.", "Hypermarcas employs 10252 people and grosses 1.8 million dollars annually.", "Hypermarcas earns 18 billion dollars a year and employs 10252 people."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | numberOfEmployees | 10252, Hypermarcas | revenue | 1800000000", "doc_id": 1193, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | was given theTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | was given theTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | was given theTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya", "target": ["With its motto \u201cNurturing Excellence,\u201d its academic staff of about 500 directed by Dr. G.P. Prabhukumar, and its affiliation with Visvesvaraya Technological University, the Acharya Institute of Technology, located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, was designated a Technical Campus by the All India Council for Technical Education of Mumbai.", "The Acharya Institute of Technology's motto is \"Nurturing Excellence\". Acharya was given the 'Technical Campus' status by All India Council for Technical Education (located in Mumbai), and is affiliated with the Visvesvaraya Technological University. The academic staff at Acharya is made up of around 500 employees, Dr. G. P. Prabhukumar is the director. The Acharya Institute of Technology is located at Soldevanahalli, Acharya Doctor Sarvapalli Radhakrishnan Rd, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | motto | \"Nurturing Excellence\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 849, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_", "target": ["The Train song Mermaid belongs to the genre of pop rock, which was followed by the release of Imagine by John Lennon was also followed by Happy Xmas (War Is Over).", "Train followed their pop rock song Mermaid with the John Lennon song Imagine, which was followed by the release of the song Happy Xmas (War Is Over).", "The Train song Mermaid from pop rock genre preceded John Lennon song Imagine which was a hit he followed up with Happy Xmas (war is over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over)", "doc_id": 909, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis", "target": ["Discovered on June 11, 1929, 1147 Stavropolis is an asteroid with an apoapsis of 418476000000.0.", "1147 Stavropolis is an asteroid with apoapsis of 418476000000.0 AU, discovered on 11 June 1929.", "1147 Stavropolis, discovered on June 11, 1929, has an apoapsis of 418476000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 780, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", R&B, Soul, Funk, Hip Hop, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop, Rock, Pop,", "target": ["The song Mermaid by Train is written in the reggae music genre which has its stylistic origin in the rhythm and blues genre.", "The Train song Mermaid is in the reggae genre that originated in rhythm and blues.", "\"Mermaid\" is an example of the reggae genre whose origin is rhythm and blues."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Reggae, Reggae | stylisticOrigin | Rhythm_and_Blues", "doc_id": 205, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| governmentType | Federalism, Darinka_Dentcheva | residence | New_Jersey, United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | New_Jersey, United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States", "target": ["Darinka Dentcheva is a resident of New Jersey, a state in the United States, which uses federalism as its type of governing system.", "Darinka Dentcheva resides in New Jersey, a small state in the federalist country of the United States.", "Darinka Dentcheva lives in New Jersey which is located in the United States and has a federalist type of government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | New_Jersey, United_States | governmentType | Federalism, Darinka_Dentcheva | residence | United_States", "doc_id": 240, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_Over) | Happy_Xmas_(War_Is_", "target": ["Train followed This\u2019ll Be My Year with Mermaid, and then with Imagine, a song written by John Lennon prior to that artist\u2019s release of Happy Xmas (War is Over).", "The song Mermaid by Train was preceded by the song This'll Be My Year and followed by the release of Imagine by John Lennon performed by Train and then by Happy Xmas (War Is Over).", "The Train song Mermaid was preceded by the song This'll be my year. Mermaid was followed by the John Lennon song Imagine. The song Imagine was followed with Happy Xmas (War is Over) by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over)", "doc_id": 1440, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Jalisco, Mexico.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the", "target": ["Bionico is a dessert that can be found in Guadalajara.", "Bionico is a dessert that is found in Guadalajara.", "Bionico is a dessert dish from the Guadalajara region."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Bionico | region | Guadalajara", "doc_id": 1717, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkish_people, Nurhan_Atasoy | birthdate | 1934-01-01, Nurhan_Atasoy | citizenship", "target": ["Nurhan Atasoy, who was born on January 01, 1934 in Turkey, currently also resides there (Istanbul) and has both Turkish nationality and citizenship.", "Nurhan Atasoy was born on January 1st, 1934, in Turkey. He is both of Turkish nationality and a Turkish citizen. Atasoy currently lives in Turkey. One of his residences was in Istanbul.", "Nurhan Atasoy, born on January 1, 1934 in Turkey, is a Turkish national, a citizen of Turkey, who resides in Istanbul, Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey", "doc_id": 1434, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the", "target": ["Saint Petersburg was founded on May 27, 1703 and has a total area of 1439.0, Olga Bondareva passed away at Saint Petersburg.", "Saint Petersburg, where Olga Bondareva died, was founded on the 27th of May, 1703 and has a total area of approximately 1439 km2.", "Saint Petersburg, where Olga Bondareva died, was founded on May 27, 1703 and consists of a total area of 1439.0 sq/km."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSaint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | areaTotal | 1439.0", "doc_id": 8, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation |", "target": ["Bedford Aerodrome with MotorSport Vision as its operator and runway length of 1095.0 has EGBF as International Civil Aviation Organization (ICAO) identifier.", "MotorSport Vision is the operating organization for the Bedford Aerodrome which has a runway length of 1095 and its ICAO location identifier is EGBF.", "The runway length at the Bedford Aerodrome is 1095, and it is operated by MotorSport Vision. Its ICAO location identifier is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 1482, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina was born in the German Empire and lived from May 2nd, 1908 to June 14th, 1994.", "Liselotte Grschebina was born on May 2, 1908 in the German Empire and died on June 14, 1994.", "Liselotte Grschebina was born on the 2nd of May, 1908, in the German Empire and died on the 14th of June, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 668, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126, \u22126,", "target": ["Led by the City Manager, the city of Ciudad Ayala falls into UTC offset -6 time zone. It utilises a type of government known as council-manager government.", "The city of Ciudad Ayala is overseen by the city manager. Its UTC offset is -6 and its government type is council manager.", "Ciudad Ayala is a city with a UTC offset of -6. The government type in the city of Ciudad Ayala is council-manager and the leader title for Ciudad Ayala is City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126", "doc_id": 1680, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| architect | Robert_A._M._Stern | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary | architect | Robert_A._M._Stern | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary | architect | Robert_A._M._Stern | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary | architect | Robert_A._M._Stern | address | \"101 Ukrop Way\", Alan_", "target": ["The College of William and Mary own the Alan B. Miller Hall which was built in the Georgian architectural style. The building was designed by Robert A.M. Stern and has the address of 101 Ukrop Way. The current tenants are The Mason School of Business.", "Alan B. Miller Hall was designed in the Georgian style by Robert A.M. Stern. The College of William and Mary currently own the Alan B. Miller Hall at 101 Ukrop Way, which has as its tenants The Mason School of Business.", "The Mason School of Business are the current tenants of Alan B Miller Hall which is designed in the Georgian architectural style. It is owned by The College of William and Mary and was designed by Robert A M Stern. The address of the building is 101 Ukrop Way."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 460, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC +2:00.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all", "target": ["The timezone in Gdynia, Poland is Central European Time.", "Gdynia is the city in Poland. The timezone for Gdynia is Central European Time.", "Gdynia, Poland falls into the Central European timezone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGdynia,_Poland | timeZone | Central_European_Time", "doc_id": 578, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United_States, AmeriGas | industry | Energy, AmeriGas | country | United", "target": ["Located in King of Prussia, Pennsylvania, AmeriGas is an energy company that serves the United States. AmeriGas has an operating income of $380,700,000 and net income of $211,200,000.", "Currently serving all regions of the United States, AmeriGas is headquartered in the King of Prussia, Pennsylvania in the United States. An established company in the energy industry, AmeriGas has an operating income of $380,700,000 and a net income of $211,200,000.", "A US provider in the energy industry, AmeriGas is located in the King of Prussia, Pennsylvania in the United States, and has an operating income of $380,700,000 with a net income of $211,200,000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | regionServed | United_States, AmeriGas | city | King_of_Prussia,_Pennsylvania, AmeriGas | operatingIncome | 380700000, AmeriGas | industry | Energy_industry, AmeriGas | country | United_States, AmeriGas | netIncome | 211200000", "doc_id": 58, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Robert_Gates | address | \"101 Ukrop Way\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March 2007\", Robert_Gates | buildingStartDate | \"30 March", "target": ["Alan B. Miller Hall, located at 101 Ukrop Way in Virginia, currently housing the Mason School of Business, was designed by Robert A.M. Stern (building start date: March 30, 2007) and is owned by the College of William and Mary (chancellor: Robert Gates).", "The Mason School of Business are the current tenants of Alan B Miller Hall at 101 Ukrop Way, which was designed by Robert A M Stern and is situated in Virginia. The building is owned by The College of William and Mary whose chancellor is Robert Gates. The building began construction on 30/03/2007.", "Alan B. Miller Hall, located at 101 Ukrop Way in Virginia and designed by Robert A.M. Stern with a project start date of March 30, 2007, is currently occupied by the Mason School of Business and owned by the College of William and Mary (chancellor: Robert Gates)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, College_of_William_&_Mary | chancellor | Robert_Gates", "doc_id": 1500, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information", "target": ["The Mermaid song by Train has a total runtime of three minutes and sixteen seconds.", "The Train song Mermaid lasts 3.16 minutes.", "The Train song Mermaid has a length of 3 minutes and 16 seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | runtime | 3.16", "doc_id": 979, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | zip | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | country | city | state | country | country | city | state | country | city | country | country | city | state | country | country | city | state | country | country | city | country | country | city | state | country | country | city | country | country | city | country | state | country | city | country | country | city | country | country | city | country | state | country | city | country | country | city | country | country | city | country | state | country | country | city | country | country | city | country | state | country | city | country | country | city | country | country | city | country | state | country | city | country | country | city | country | state | country | city | country | country | city | country | state | country | city | country | country | city | country | state | country | city | country | country", "target": ["The construction of Alan B. Miller Hall lasted from March 30th, 2007 to June 1st, 2009. Robert A. M. Stern designed the building. Alan B. Miller Hall is located at 101 Ukrop Way, and the current tenant is the Mason School of Business, which is located in the United States.", "The construction of the Alan B. Miller Hall lasted from March 30th, 2007 until June 1st, 2009. Robert A. M. Stern designed the building, which is located at 101 Ukrop Way. The current tenant is the Mason School of Business, located in the United States.", "Construction on the Alan B. Miller Hall lasted from March 30th, 2007 until June 1st, 2009. Robert A. M. Stern is the architect of the building. The Mason School of Business, located in the United States, is the current tenant. The Alan B. Miller Hall is located at 101 Ukrop Way."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Mason_School_of_Business | country | United_States", "doc_id": 1281, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala", "target": ["Ciudad Ayala is a city with population density and population of 1604 and 1777539 respectively, where the leader is called the City Manager. The government type in the city of Ciudad Ayala is council-manager.", "The city of Ciudad Ayala, with a population of 1,777,539, is led by a City Manager on a council-manager government system. It has a population density of 1604.", "Ciudad Ayala, a city with population density and population of 1604.0 and 1,777,539 respectively, uses a type of government called council-manager government. One of the leaders of Ciudad Ayala is the City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government", "doc_id": 4, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nThe Quine Tape is a tape recording of a lecture given by the philosopher John Quine at the University of Chicago in the spring of 1964. The tape was made by the University of Chicago's Department of Philosophy and is now housed in the University of Chicago Library.\nThe Quine Tape is a tape recording of a lecture given by the philosopher John Quine at the University of Chicago in the spring of 1964. The tape was made by the University of Chicago's Department of Philosophy and is now housed in the University of Chicago Library.\nThe Quine Tape is a tape recording of a lecture given by the philosopher John Quine at the University of Chicago in the spring of 1964. The tape was made by the University of Chicago's Department of Philosophy and is now housed in the University of Chicago Library.\nThe Quine Tape is a tape recording of a lecture given by the philosopher John Quine at the University of Chicago in the spring of 1964. The tape was made by the University of Chicago's Department of Philosophy and is now housed in the University of Chicago Library.\nThe Quine Tape is a tape recording of a lecture given by the philosopher John Quine at the University of Chicago in the spring of 1964. The", "target": ["Music group the Velvet Underground produced and released rock music album Bootleg Series Volume 1: The Quine Tapes under the Polydor Records record label. The album was recorded in St. Louis, Missouri, USA and has a run time of 230:05.", "Bootleg Series Volume 1: The Quine Tapes created and produced by The Velvet Underground with runtime of 230.05 minutes was recorded in was St. Louis Missouri, United States. The Rock genre album was recorded through Polydor Records.", "The Bootleg Series Volume I: The Quine Tapes created and produced by The Velvet Underground with runtime of 230.05 minutes was recorded in St. Louis, Missouri, United States. The Rock music genre album was released by the record label Polydor Records."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records", "doc_id": 20, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0, Death_", "target": ["Sarah Teale directed and produced the 83-minute movie Death on a Factory Farm which had Jamie Lawrence as the music composer. Tom Simon was also a producer of the movie.", "Tom Simon and Sarah Teale produced the film named Death on a Factory Farm. Music was composed by Jamie Lawrence; it was directed by Sarah Teale, and it has a running time of 83 minutes.", "Death on a Factory Farm was directed by Sarah Teale, produced by Sarah Teale and Tom Simon, composed by Jamie Lawrence, and had a running time of 83 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 1736, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm", "target": ["The music of \u2018Death on a Factory Farm\u2019 was composed by Jamie Lawrence. Tom Simon and Sarah Teale both directed the film.", "The directors of Death on a Factory Farm are Tom Simon and Sarah Teale. The film\u2019s music was written by Jamie Lawrence.", "\"Death on a Factory Farm\" was directed by Sarah Teale and Tom Simon, with the music composed by Jamie Lawrence."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 1092, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Commonwealth University, Richmond, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia Commonwealth University, Richmond, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia Commonwealth University, Richmond, VA, USA", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall (located in Virginia). It was designed by Robert A.M Stern and was completed on 1st June 2009.", "The Mason School of Business are the current tenants of Alan B Miller Hall, which is located in Virginia and which was designed by Robert A. M. Stern and completed June 1, 2009.", "Robert A.M. Stern was the architect who designed Alan B. Miller Hall, which was completed on June 1st, 2009. The current tenant of the Hall, located in Virginia, is the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia", "doc_id": 1632, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey", "target": ["Nurhan Atasoy was born in Turkey on January 1st, 1934. He is a Turkish citizen and resides in Istanbul, Turkey.", "Nurhan Atasoy, born in Turkey on the date 1934-01-01, is a Turkish citizen currently residing in Istanbul, Turkey.", "Nurhan Atasoy, born of Turkey in 1 January 1934, is a citizen of Turkey who resides there and once resided in the city of Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | residence | Turkey", "doc_id": 414, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United", "target": ["Casey Ribicoff is the wife of the American-born Abraham A. Ribicoff.", "Abraham A. Ribicoff was born in the United States of America and was an American citizen. His spouse was Casey Ribicoff.", "Abraham A. Ribicoff (birthplace: United States) has the American nationality. His spouse was Casey Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 487, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | was given the technical campus status by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya", "target": ["Dr. G.P. Prabhukumar is the director of The Acharya Institute of Technology (est. 2000), located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090. The All India Council for Technical Education in Mumbai gave the status of Technical Campus to the Acharya Institute of Technology in Bangalore.", "The campus of the Acharya Institute of Technology, designated as a 'Technical Campus' by then All India Council for Technical Education of Mumbai, was established in the year 2000. It is directed by Dr. G. P. Prabhukumar and may be found at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology, which was established in the year 2000 and is located in the city of Bangalore. The campus address is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090. The All India Council for Technical Education, located in Mumbai, was proud to give the Technical Campus status to the Acharya Institute of Technology."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1450, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala |", "target": ["The population density in Ciudad Ayala is 1604. It has a UTC offset of -6. Its government type in the city is council manager.", "Ciudad Ayala has a density of 1604.0, the UTC offset is -6, and the government type is called council-manager government.", "Ciudad Ayala, with a population density of 1604.0, falls into UTC offset -6 time zone and uses a type of government called council-manager government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126", "doc_id": 714, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | current", "target": ["Alan B. Miller Hall (designed by Robert A.M. Stern) is owned by The College of William and Mary and the current tenants are the Mason School of business.", "Alan B. Miller Hall was architected by Robert A.M. Stern and is owned by The College of William Mary and home to The Mason School of Business.", "Alan B. Miller Hall owned by The College of William and Mary is built by Robert A M Stern, Mason School of Business is the current tenant."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1363, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | currency | Turkish_lira, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | officialLanguage | Turkish_language, Nurhan_Atasoy | birthPlace", "target": ["Nurhan Atasoy was born in Resadiye in Turkey. The official language of Turkey is Turkish and the currency is the Turkish lira.", "Nurhan Atasoy was born in Re\u015fadiye, a town in Turkey. The currency in Turkey is based on a unit called lira. Turkish is the language that is official in turkey.", "Nurhan Atasoy was born in Resadiye, Turkey. The country's official language is Turkish and their currency is the Turkish Lira."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Turkey | currency | Turkish_lira, Nurhan_Atasoy | birthPlace | Turkey, Turkey | officialLanguage | Turkish_language", "doc_id": 820, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common", "target": ["Operated by the United States Air Force, Al Asad Airbase uses ORAA as its ICAO location identifier.", "The ICAO Location Identifier of Al Asad Airbase is ORAA and is operated by The United States Air Force.", "ORAA is the ICAO location identifier of Al Asad Airbase which is operated by the United States Air Force."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | operatingOrganisation | United_States_Air_Force, Al_Asad_Airbase | icaoLocationIdentifier | \"ORAA\"", "doc_id": 493, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", New_York, United_States, Abraham_A._Ribicoff | marriageDate | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriageYear | marriage", "target": ["Abraham A. Ribicoff was born in the USA and was married to Casey Ribicoff. He died in New York City.", "Abraham A Ribicoff whose wife is Casey Ribicoff, was born in the the United States and died in New York City.", "Abraham A. Ribicoff (birth place: United States) died in New York City, and he was Casey Ribicoff's spouse."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | New_York_City", "doc_id": 1155, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Super_Capers are a group of four friends who are all in their early twenties. They are all in the same college, and they all have a passion for writing. They are all very different, but they all have a passion for writing. They are all very different, but they all have a passion for writing.\nThe Super_Capers are a group of four friends who are all in their early twenties. They are all in the same college, and they all have a passion for writing. They are all very different, but they all have a passion for writing. They are all very different, but they all have a passion for writing.\nThe Super_Capers are a group of four friends who are all in their early twenties. They are all in the same college, and they all have a passion for writing. They are all very different, but they all have a passion for writing. They are all very different, but they all have a passion for writing.\nThe Super_Capers are a group of four friends who are all in their early twenties. They are all in the same college, and they all have a passion for writing. They are all very different, but they all have", "target": ["Super Capers, a film that had a running time of 98 minutes, stars Justin Whalin.", "The film Super Capers, which stars Justin Whalin, is 98 minutes long.", "The film Super Capers, which is 98 minutes in duration, stars Justin Whalin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Justin_Whalin, Super_Capers | runtime | 98.0", "doc_id": 315, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila | Metro_Manila", "target": ["Manila is part of Metro Manila.", "Metro Manila includes the city of Manila."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nManila | isPartOf | Metro_Manila", "doc_id": 371, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The leader of Brazil's title is Vice President.", "Vice President is a leader title in Brazil.", "Vice President is a Brazilian leadership title.", "Brazil\u2019s leader has the title of Vice President."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrazil | leaderTitle | \"Vice President\"", "doc_id": 1593, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01 | distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01 | distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01 | distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01 | distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01 | distributor | Lionsgate, Lionsgate | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions |", "target": ["Super Capers was a film starring Justin Whalin distributed by Lionsgate and Roadside Attractions. Attractions was founded in 2003.", "Super Capers is a movie starring Justin Whalin that was distributed by Lionsgate and Roadside Attractions. Roadside Attractions was founded in 2003.", "The movie Super Capers which starred Justin Whalin was distributed by Lionsgate and Roadside Attractions (founded in 2003)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Lionsgate, Super_Capers | starring | Justin_Whalin, Super_Capers | distributor | Roadside_Attractions, Roadside_Attractions | foundingYear | 2003-01-01", "doc_id": 828, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",_Missouri, St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, St._Louis,_", "target": ["Bootleg Series Volume 1: The Quine Tapes were recorded in St. Louis, Missouri and San Francisco, where 628 is an area code.", "Bootleg Series Volume 1: The Quine Tapes was recorded in St. Louis, Missouri and San Francisco, which has a 628 area code.", "The Bootleg Series Volume 1: The Quine Tapes were recorded in San Francisco where the area code was 628. The location that the Bootleg Series The Quine Tapes Volume 1 was recorded was in St. Louis Missouri."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, San_Francisco | areaCode | 628, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 1259, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocation", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF.", "Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "The ICAO location identifier for the Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 1165, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | birthDate | 1964-10-13, Nie_", "target": ["Nie Haisheng was born in Zaoyang, Hubei on October 13, 1964, was part of the mission Shenzhou 10 and took part in the Shenzhou 6 mission.", "Born in October of 1964, Nie Haisheng was part of both the Shenzhou 6 and 10 missions. He was born in Zaoyang in Hubei.", "Nie Haisheng, born on 10/13/1964 in Zaoyang, Hubei Province, was a crew member on Shenzhou 6 and he also took part in the Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei", "doc_id": 950, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ph.D.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Michael R Burns plays an important role for the company Lionsgate.", "Michael R. Burns is a key person at Lionsgate.", "Lionsgate has Michael R Burns as a key person."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | keyPerson | Michael_R._Burns", "doc_id": 723, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Olga_Bondareva | deathDate | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | birthPlace | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | education | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | occupation | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | hobbies | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | interests | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | web site | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | e-mail | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | blog | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | twitter | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | youtube | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | google+ | \"Ol", "target": ["Olga Bondareva was given the birth name \"Olga Nikolaevna Bondareva\".", "Olga Bondareva's given name is Olga Nikolaevna Bondareva.", "Olga Bondareva's birth name was Olga Nikolaevna Bondareva."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"", "doc_id": 719, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information", "target": ["The three minute sixteen seconds Mermaid song written by the band Train is on Columbia Records.", "The song Mermaid by the musical group Train is 3 minutes and 16 seconds long and was released on the Columbia Records record label.", "The Train song Mermaid was released under the record label Columbia Records, by the musical band Train which lasts 3.16 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | runtime | 3.16", "doc_id": 1765, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Located in Brazil, Hypermarcas is an S.A. corporation that produces pharmaceutical drugs. It is headed by the CEO.", "Hypermarcas, a type of S.A. corporation in the pharmaceutical industry, is located in Brazil. Hypermarcas makes drugs under the direction of their CEO, the key person.", "Hypermarcas, a pharmaceuticals company located in Brazil, is managed by their CEO and is a type of S.A. corporation. The company's main product is drugs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | keyPerson | CEO, Hypermarcas | type | S.A._(corporation)", "doc_id": 1260, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "|", "target": ["Charlie Colin is a former band mate of the band Train.", "Charlie Colin is a former band member of Train.", "Charlie Colin is the former member of Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrain_(band) | formerBandMember | Charlie_Colin", "doc_id": 1700, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle |", "target": ["The Pontiac Rageous coupe was last assembled in Michigan in 1997.", "The Pontiac Rageous was a car with a coupe body style which was last produced in 1997 in Michigan.", "The Pontiac Rageous has a coupe body style and was assembled in Michigan. Production of the Pontiac Rageous ended in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | bodyStyle | Coupe", "doc_id": 1398, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Even though Darinka Dentcheva was never the Vice President, one of the leaders, of the United States, she was in fact a citizen of the United States.", "One of the leaders of the United States, where Darinka Dentcheva is a citizen, is the Vice President.", "Darinka Dentcheva is a citizen of the United States, where the Vice President is considered one of its leaders."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, United_States | leaderTitle | \"Vice President\"", "doc_id": 1640, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | director | Tom_Simon, Death_on_a", "target": ["Tom Simon directed the film \u2018Death on a Factory Farm\u2019 which was edited by Geof Bartz and broadcasted by HBO.", "Geof Bartz is the editor of 'Death on a Factory Farm' which was released by HBO and directed by Tom Simon.", "Death on a Factory Farm, which was broadcasted by HBO, was directed by Tom Simon and edited by Geof Bartz."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz", "doc_id": 696, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Length | Width | Height | Length | Width | Height | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length | Length", "target": ["Bedford Aerodrome, which is made of concrete and has an ICAO location identifier of EGBF, is located 83.2 meters above sea level.", "Bedford Aerodrome's ICAO identifier is EGBF. It is located 83.2104 meters above sea level and has a runway made of concrete.", "Bedford Aerodrome is at an elevation of 83.2104 above sea level, its runway surface is made out of concrete. Its international civil Aviation organization (ICAO) identifier is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 757, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | music | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears | sound | John_Barker, English_Without_Tears", "target": ["Anatole de Grunwald wrote and produced the 89 minute movie English Without Tears which was edited by Alan Jaggs and had Bernard Knowles as the cinematographer.", "English Without Tears is a, 89 minute movie written and produced by Anatole de Grunwald. Alan Jaggs was the editor and Bernard Knowles was the cinematographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 1325, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["MotorSport Vision operates the Bedford Aerodrome located in Thurleigh with a runway length of 1095 and serves the Bedford Autodrome. The Bedford Aerodrome elevation is 83.2104 meters above sea level with a runway name of 08/26 and its ICAO location identifier of EGBF.", "MotorSport Vision is the operating organisation for Bedford Aerodrome, which has a runway called 08/26 with the length of 1095.0. This aerodrome is at an elevation of 83.2104 above sea level and is located in Thurleigh. It serves the Bedford Autodrome. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "The Bedford Aerodrome has an operating organization called the MotorSport Vision, and it has a runway named 08/26. The runway length is 1,095, and this aerodrome is 83.2 meters above the sea level. The location of Bedford Aerodrome is Thurleigh, and its ICAO id is EGBF. The aerodromes serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 1767, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | Garage_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) |", "target": ["The genres of the album Turn Me On are punk blues and noise rock. The stylistic origins of these two genres are garage rock and noise music respectively.", "Punk blues album Turn Me On is a noise rock genre and has its stylistic origin in earlier garage rock sound. The stylistic origin of noise rock is noise music.", "Punk blues and noise rock are the genres of the album Turn me on. The stylistic origin of punk blues and noise rock are from noise music and garage rock respectively."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Noise_rock | stylisticOrigin | Noise_music, Turn_Me_On_(album) | genre | Noise_rock, Punk_blues | stylisticOrigin | Garage_rock", "doc_id": 1574, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology", "target": ["The Acharya Institute of Technology, affiliated with Visvesvaraya Technological University, has about 700 postgraduate students. The campus address is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore-560090, India.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India . This university is affiliated with the Visvesvaraya Technological University and it contains 700 postgraduate students.", "The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India has ~700 postgraduate students and it is affiliated to Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700", "doc_id": 1654, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The release of the song Imagine by John Lennon was followed by the release of the song Happy Xmas (War Is Over).", "The John Lennon song Imagine was followed by Happy Xmas (War Is Over).", "John Lennon followed up his hit Imagine with Happy Xmas (War is Over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over)", "doc_id": 1058, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Piotr_Hallmann | education | B.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To", "target": ["Piotr Hallmann from Gdynia, Poland weights 70.308 kilograms and is 175.26 cm tall.", "Piotr Hallmann from Gdynia, Poland is 175.26 cm tall and 70.308 kg.", "Piotr Hallmann's birthplace was in Gdynia, Poland he weighs 70.308kg and is 175.26 cm tall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthPlace | Gdynia,_Poland", "doc_id": 228, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Mexico is inhabited by Mexicans and the currency used there is the Mexican peso. Bionico is a dish served for dessert there and sour cream is used to make this dish.", "Bionico, served at the dessert course, is a food made of sour cream found in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans.", "Bionico, a dessert, is a food made with sour cream found in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | ingredient | Sour_cream, Bionico | country | Mexico", "doc_id": 1098, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | current", "target": ["The College of William and Mary, located in Williamsburg Virginia is the location of the Mason School of Business located inside Alan B Miller Hall.", "The Mason School of Business, inside Alan B Miller Hall, is in Williamsburg, Virginia at the College of William and Mary.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located in Williamsburg, Virginia and owned by The College of William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 168, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piotr_Hallmann | age | 5.07, Piotr_Hallmann | height | 175.26, Piot", "target": ["Piotr Hallmann is 175.26 cm tall and weighs 70.308 kg.", "Piotr Hallmann's height is 175.26cm and he weighs 70.308 kilograms.", "Piotr Hallmann stands 175.26 cm tall and weighs 70.308kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | weight | 70.308", "doc_id": 497, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Trane | industry | Building_materials, Trane | revenue | 10264000000, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials,", "target": ["Trane is a building materials company with an operating income of 875.4 million and a revenue of $10,264,000,000 USD.", "The company Trane is in building materials' industry, with an operating income of $875,400,000 and revenue of $10,264,000,000.", "Trane, a building materials industry, has an operating income of $875,400,000 and a revenue of 10264000000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | operatingIncome | 875400000, Trane | industry | Building_materials, Trane | revenue | 10264000000", "doc_id": 1532, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&", "target": ["The owner of the Alan B. Miller Hall is the College of William and Mary and it is located at 101 Ukrop Way. The Mason School of Business are the current tenants. The architect of the Hall was Robert A M Stern.", "The Mason School of Business are the current tenants of Alan B Miller Hall, designed by Robert A.M. Stern, located at 101 Ukrop Way, and owned by the College of William and Mary.", "Alan B. Miller Hall, which was designed by Robert A.M. Stern is situated at 101 Ukrop Way. It is owned by The College of William and Mary and The Mason School of Business are the current tenants."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 936, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_", "target": ["Harry Carey (actor, born in 1878) was the actor and writer of McVeagh of the South Seas, IMDb ID 0004319.", "The film McVeagh of the South Seas with an IMDb id of 0004319 has been written by Harry Carey who was born in 1878, who also had a role in the movie.", "Harry Carey (born, 1878) wrote and starred in the film McVeagh of the South Seas (IMDb ID, 0004319)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 1029, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense (full name \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\") play in the Campeonato Brasileiro S\u00e9rie C league from Brazil.", "The Arapiraca based Est\u00e1dio Municipal Coaracy da Mata Fonseca is the training ground of Agremiacao Sportiva Arapiraquense. With a full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense, this team play in the Brazilian based Campeonato Brasileiro S\u00e9rie C league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1733, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy |", "target": ["Nurhan Atasoy's, born on January 1, 1934, is a Turkish citizen living in Istanbul, Turkey.", "Nurhan Atasoy was born on 1934-01-01 and currently resides and maintains citizenship in Turkey. He has a residence in Istanbul.", "Nurhan Atasoy was born on January 1, 1934 and is a citizen of Turkey. Nurhan currently resides in Turkey and one of his residences is in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | residence | Turkey", "doc_id": 379, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico, a dessert found in Mexico along with Sandesh (confectionary), is made of sour cream, chopped fruits, condensed milk, granola, raisins and shredded coconut, and Mexicans, people living in Mexico, use the peso, the local currency, to buy it.", "The main ingredients of Bionico (a dish served for dessert) are chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins, bionico is a food found in Mexico. The currency in Mexico is the Mexican peso, and the country is inhabited by the Mexicans. Sandesh is a nice confectionery dessert.", "Chopped Fruits, sour cream, condensed milk, granola, shredded coconut and raisins are the main ingredients in bionico (a dessert). The currency of Mexico is the peso inhabited by the Mexicans. Sandesh is a dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 1317, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_Young_(1956_film) | net | $0.00, It's_Great_to_Be_", "target": ["It's Great to Be Young was a film from 1956; its length is 94 minutes. John Mills had a main role in the film which accrued 282,838 pounds at the box office.", "It's Great to Be Young, a 1956 film starring John Mills, runs 94 minutes and made \u00a3282,838.", "John Mills starred in the 1957 film It's Great to Be Young which runs 94 minutes and costed \u00a3282,838."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0", "doc_id": 1054, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| TimeZone.com.", "target": ["Ciudad Ayala is in the PDT time zone.", "Ciudad Ayala's time zone is Pacific Daylight Time.", "Ciudad Ayala is located in the Pacific Daylight time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 1466, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is made of sludge.\nThe sludge metal is a metal that is", "target": ["Singing is typically present in sludge metal.", "Sludge metal includes singing, among other things.", "Singing is a part of sludge metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSludge_metal | instrument | Singing", "doc_id": 824, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall, which was completed on June 1, 2009.", "Completed on June 1st, 2009, Alan B Miller Hall's current tenants are the Mason School of Business.", "The Mason school of Business are the current tenants of Alan B. Miller Hall (completed on 1 June 2009)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01", "doc_id": 1203, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Beach, VA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and", "target": ["Alan B. Miller Hall in Virginia was completed on 1st June 2009.", "Alan B. Miller Hall, located in Virginia, was completed on June 1st, 2009.", "The Alan B. Miller Hall which is located in Virginia was completed on 1st June 2009."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia", "doc_id": 1269, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| R&B | Rock | Pop | Soul | Funk | Hip Hop | Jazz | Blues | Country | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Pop | Rock | Rock | Pop | Rock | Pop | Rock | Rock | Pop | Rock | Pop | Rock | Rock | Pop | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock | Pop | Rock | Rock |", "target": ["Reggae's stylistic origin is rhythm and blues.", "The stylistic origin of reggae is rhythm and blues.", "Reggae has its stylistic origin in rhythm and blues."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nReggae | stylisticOrigin | Rhythm_and_Blues", "doc_id": 966, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", New_York | ethnicity, Abraham_A._Ribicoff | religion, Abraham_A._Ribicoff | occupation, Abraham_A._Ribicoff | education, Abraham_A._Ribicoff | occupation, Abraham_A._Ribicoff | hobbies, Abraham_A._Ribicoff | interests, Abraham_A._Ribicoff | favorite things, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite music, Abraham_A._Ribicoff | favorite sports, Abraham_A._Ribicoff | favorite TV shows, Abraham_A._Ribicoff | favorite websites, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite music, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite TV shows, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite music, Abraham_A._Ribic", "target": ["Abraham A. Ribicoff was born in the USA, where African Americans are an ethnic group, and died in New York. He was married to Ruth Ribicoff.", "Abraham A. Ribicoff died in New York, which is in the USA where he was also born. In the USA, African Americans are an ethnic group and Abraham was married to Ruth Ribicoff.", "Abraham A. Ribs off, who died in New York, was married to Ruth Ribicoff. He was also born in the USA, where African Americans are an ethnic group,."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans, Abraham_A._Ribicoff | deathPlace | New_York", "doc_id": 558, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Lucian_Grainge, Polydor_Records | keyPerson | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge, Polydor_Records | Lucian_Grainge,", "target": ["Bootleg Series Volume 1: The Quine Tapes was released by Universal Music Group, a record label run by key person Lucian Grainge. Polydor Records recorded Bootleg Series Volume 1: The Quine Tapes.", "The Bootleg Series Volume I: The Quine Tapes is released by the record label Polydor Records and was recorded under the Universal Music Group record label, of which Lucian Grainge was a key person.", "The Bootleg Series Volume 1: The Quine Tapes was recorded under the Polydor Records record label and a key person is Lucian Grainge at Universal Music Group and is part of the record label of Bootleg Series Volume 1: The Quine Tapes is Universal Music Group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Universal_Music_Group | keyPerson | Lucian_Grainge, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 440, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the", "target": ["Mermaid is a pop rock song by Train. It is three minutes and sixteen seconds long.", "Mermaid, a pop rock song by the musical band Train lasts 3.16 minutes.", "The Train song Mermaid from the pop rock genre has a length of 3 minutes and 16 seconds and belongs to the musical band Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | runtime | 3.16", "doc_id": 1706, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_H", "target": ["George Allen & Unwin published The Fellowship of the Ring, a fantasy, on July 29th, 1954. The Fellowship of the Ring is preceded by the Hobbit and followed by The Two Towers.", "The Fellowship of the Ring belongs to the fantasy literary genre, released on July 29, 1954, followed by The Two Towers and published by George Allen & Unwin. The Hobbit came before it.", "The Fellowship of the Ring belongs to the fantasy genre, published on July 29, 1954, by George Allen & Unwin. The Hobbit came before it, followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 647, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.", "target": ["The Bedford Aerodrome is 83.2 meters above sea level with length of 1095.", "Bedford Aerodrome is at an elevation of 83.2104 above sea level with a runway length of 1095.0.", "The Bedford Aerodrome elevation above the sea level is 83.2104 meters and has a runway length of 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 1431, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the", "target": ["The Mermaid song by Train had a release date of the twenty seventh of December 2012 and it was preceded by the song this'll be My Year and it has total runtime of three minutes and sixteen seconds and the writer of the song Mermaid by the band train is Espen Lind.", "The 3 minutes and 16 seconds song Mermaid by Train, released on 2012-12-27, was preceded by the song This'll be my year. The song was written by Espen Lind.", "The Train song Mermaid which was released on 27th December 2012 followed their song This'll be my year and was written by Espen Lind. The song has a total runtime of 3.16 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | runtime | 3.16", "doc_id": 692, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["The English-language film Super Capers was edited by Stacy Katzman and played by Michael Rooker.", "Super Capers is a movie in English, which was edited by Stacy Katzman and starred Michael Rooker.", "Super Capers is an English language film starring Michael Rooker and edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language", "doc_id": 222, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway elevationAboveTheSeaLevel | 610.0,", "target": ["Adolfo Suarez Madrid-Barajas Airport is operated by ENAIRE in Madrid, has a runway length of 3500 and is 610.0 metres above sea level.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Madrid operated by ENAIRE has a runway length of 3,500. It has an elevation of 610.0 metres above sea level.", "Adolfo Suarez Madrid-Barajas airport in Madrid, elevated 610 metres above sea level and operated by ENAIRE, has a runway length of 3500.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 1336, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala | utcOffset | \u22126.\nCiudad_Ayala |", "target": ["Ciudad Ayala falls into UTC offset -6 timezone.", "The UTC offset of Ciudad Ayala is -6.", "Ciudad Ayala has a UTC offset of -6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | utcOffset | \u22126", "doc_id": 726, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | distributor | Roadside_Attractions, Inc.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | distributor | Roadside_Attractions, Inc.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker,", "target": ["Super Capers is a film starring Michael Rooker and Tom Sizemore.The film was edited by Stacy Katzman, and the language is English. Roadside Attractions is the distributor of the movie.", "The English film Super Capers, distributed by Roadside Attractions, stars Michael Rooker and Tom Sizemore. Stacy Katzman was the editor of Super Capers.", "Michael Rooker and Tom Sizemore starred in the English language movie Super Capers which was edited by Stacy Katzman and distributed by Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | distributor | Roadside_Attractions", "doc_id": 1764, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status | \"Deceased\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status | \"Deceased\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status | \"Deceased\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status", "target": ["Alan Shepard is an American who was born on Nov 18, 1923 in New Hampshire and died in California.", "Alan Shepard was born on November 19, 1923, in New Hampshire in the United States. He died in California.", "Alan Shepard was an American who was born on November 18th, 1923 in New Hampshire and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | status | \"Deceased\"", "doc_id": 1661, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien, published by George Allen & Unwin, and the Two Towers is its sequel.", "The author of The Fellowship of the Ring is J.R.R. Tolkien. This book was followed by the Two Towers and was published by George Allen &Unwin.", "George Allen & Unwin published the Fellowship of the Ring authored by J.R.R. Tolkien, Fellowship of the Ring was followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 1385, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "|.", "target": ["The Acharya Institute of Technology in Bangalore was established in 2000.", "The Acharya Institute of Technology located in Bangalore was established in 2000.", "The Acharya Institute of Technology was established in the year 2000 and is located in Bangalore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000", "doc_id": 350, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico | population | Ciudad_", "target": ["Ciudad Ayala (located in the country of Mexico) has a population density of 1604.0. It is part of Morelos and its leader is called the Governator.", "Ciudad Ayala is a part of Morelos in the country of Mexico. The population density of Ciudad Ayala is 1604.0 and the leader is called the governator.", "Ciudad Ayala is a city in Mexico with a population density of 1604. It's part of Morelos and its leader is called the Governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico", "doc_id": 1169, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist |", "target": ["Year of No Light produced an album called Nord on 6/9/2006 which is 58.41 minutes long. They came out with the Demo 2004 album first, followed by Nord, and then the album Live at Roadburn in 2008.", "The Year of No Light album Nord with runtime of 58.41 minutes was released by the artist on the date 2006-09-06. It was preceded by Year of No Light's album Demo 2004 and followed by Year of No Light's album Live at Roadburn 2008.", "The album Nord by Year of No Light with runtime of 58 minutes and 41 seconds was released on September 6, 2006.The album Nord was preceded by the album Demo 2004 and followed by Live at Roadburn 2008 ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album)", "doc_id": 55, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Olga Bondareva currently works in the Field of Economics and also works in the field of Mathematics.", "Olga Bondareva is an economist and one of the known professionals in the field of Mathematics.", "Olga Bondareva\u2019s professional field is mathematics and Economics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics", "doc_id": 1160, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence", "target": ["The Pontiac brand became extinct on October 31, 2010.", "Pontiac went extinct on 2010-10-31."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac | extinctionDate | 2010-10-31", "doc_id": 1198, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator | Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0,", "target": ["In Ciudad Ayala, the population density is 1604.0, the UTC offset is -6, and the leader is called the governator.", "Ciudad Ayala has a population density of 1,604 and falls into the UTC offset -6 time zone. One of the city's leaders is referred to as the governator.", "Ciudad Ayala with a density of 1604 UTC offset of -6 has a leader called the Governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator", "doc_id": 1651, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | distributor | Lionsgate, Super_Capers | starring | Tom_Sizemore, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Lionsgate, Super_", "target": ["Super Capers, distributed by Lionsgate and Roadside Attractions companies, is a movie starring Michael Rooker and Tom Sizemore.", "Super Capers was a film distributed by Lionsgate and Roadside Attractions. It stars Tom Sizemore and Michael Rooker.", "Super Capers stars Michael Rooker and Tom Sizemore. It\u2019s distributed by Lionsgate and Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | distributor | Lionsgate, Super_Capers | starring | Tom_Sizemore, Super_Capers | distributor | Roadside_Attractions", "doc_id": 837, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | knownFor | No-hair_", "target": ["Brandon Carter, known for the Carter constant and No-hair theorem, is a professional in the field of general relativity.", "Brandon Carter is a physicist known for the invention of the Carter constant and for proving the no-hair theorem. His professional field was on General Relativity."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem", "doc_id": 1106, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle |", "target": ["The Pontiac Rageous was a car with a coupe body style that was was first produced in 1997 on the assembly line in Detroit Michigan.", "The Pontiac Rageous is a coupe that was first produced in 1997. It is assembled in Michigan with the assembly line being in Detroit.", "In Detroit, Michigan, the coupe body styled Pontiac Rageous went into production the year of 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | bodyStyle | Coupe", "doc_id": 1619, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | Cecil_Parker,", "target": ["John Mills and Cecil Parker starred in the 1956 movie It's Great to Be Young which runs 94 minutes and had Gilbert Taylor as the cinematographer. The movie costed \u00a3282,838.", "\"It's Great to Be Young\", released in 1956, made 282,838 pounds at the box office. The film is 94 minutes long and stars Cecil Parker. John Mills also had a main role in the movie, and Gilbert Taylor did the cinematography.", "John Mills, accompanied by Cecil Parker, played the lead role in the 1956 film It's Great to Be Young. The 94 minute film was shot by cinematographer Gilbert Taylor and went on to receive \u00a3282,838."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 197, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music | Instrumental_music", "target": ["Expect a Miracle is in the instrumental music genre.", "Expect a Miracle's genre is instrumental music.", "The album Expect a Miracle is of the instrumental music genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | genre | Instrumental_music", "doc_id": 564, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathPlace | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M", "target": ["Alan Shepard was born in New Hampshire on November 18th 1923, he graduated from NWC with an M.A. in 1957 and died in California.", "NWC graduate Alan Shepard earned his MA in 1957, was born 11/18/1923 in New Hampshire and died in California.", "Alan Shepard was born on November 18, 1923 in New Hampshire, graduated from NWC in 1957 with an M.A and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 173, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Liselotte Grschebina died in Petah Tikva."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 560, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "m | runway width | 1095.0m | runway length | 1095.0m | runway width | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway width | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095.0m | runway length | 1095", "target": ["The MotorSport Vision operated Bedford Aerodrome has a runway length of 1095.0.", "Bedford Aerodrome operated by MotorSport Vision has the runway length of 1095.", "Bedford Aerodrome is run by MotorSport Vision and has a runway length of 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0", "doc_id": 1091, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Tech, Virginia Tech, Blacksburg, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia Tech, Virginia Tech, Blacksburg, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia Tech, Virginia Tech, Blacksburg, VA, USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAlan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall which is located in Virginia.", "The Mason School of Business are the current tenants of Alan B Miller Hall, which is located in Virginia.", "Situated in Virginia, Alan B Miller Hall's current tenants are the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia", "doc_id": 843, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common", "target": ["The title of the leader of Turkey is \"Prime Minister\".", "The leader of Turkey is known as the Prime Minister.", "Prime Minister is the leader of Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | leaderTitle | \"Prime Minister\"", "doc_id": 436, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| education | profession | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies | interests | family | religion | religion | religion | occupation | hobbies", "target": ["Nurhan Atasoy (born on January 1, 1934) is a Turkish citizen who resides in Istanbul.", "Nurhan Atasoy, whose birth date is 1934-01-01 is a Turkish citizen and has a residence in Istanbul.", "Nurhan Atasoy, born January 1st, 1934, is a citizen of Turkey and at one time lived in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey", "doc_id": 1345, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The text is a sentence in natural language. The sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is a statement about the world.\nThe sentence is a statement about the world. The sentence is", "target": ["Petah Tikva means \"opening of hope.\"", "Petah Tikva means \u2018Opening of Hope\u2019 in Hebrew."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPetah_Tikva | meaning | \"Opening of hope\"", "doc_id": 1388, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer |", "target": ["Pontiac makes the Rageous coupe at its plant in Detroit.", "The Pontiac Rageous which has a coupe body style, was a car manufactured by Pontiac in Detroit.", "The Pontiac Rageous was a car with a coupe body style, manufactured by Pontiac and its assembly line is in Detroit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Detroit, Pontiac_Rageous | bodyStyle | Coupe, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 876, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grsche", "target": ["Liselotte Grschebina was born on May 2,1908 in Karlsruhe, German Empire and belongs to the Israeli nation. Liselotte Grschebina died on June 14, 1994 in Petah Tikva, Israel.", "Liselotte Grschebina, an Israeli national, born in Karlsruhe in the German Empire on 1908-05-02, died in Petah Tikva, Israel on 14th of June, 1994.", "Liselotte Grschebina was born in Karlsruhe, in the German Empire, on May 2nd, 1908. She died in Petah Tikva, in Israel, on June 14th, 1994. She was an Israeli national."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 646, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const_const | const", "target": ["Brandon Carter is known for the Carter constant.", "Brandon Carter is known for the Carter Constant.", "Brandon Carter is known for the invention of the Carter constant."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Carter_constant", "doc_id": 1139, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationD", "target": ["The population density of Ciudad Ayala is 1604.0 with a elevation above the sea level for Ciudad Ayala is 1147.0.", "Ciudad Ayala has a population density of 1604.0 have a elevation above the sea level is 1147.0.", "Ciudad Ayala with population density of 1604 is 1147m above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0", "doc_id": 226, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United Kingdom | United States | University of California, Berkeley | United States.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language", "target": ["Brandon Carter, born in England, had Dennis William Sciama as his doctoral advisor.", "Dennis William Sciama is the doctoral advisor for Brandon Carter who was born in England.", "Dennis William Sciama was the doctoral advisor of Brandon Carter, who was born in England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England", "doc_id": 770, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Age | 25 | Education | B.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so,", "target": ["Piotr Hallmann's height is 175.26 cm was born in Gdynia, Poland.", "Piotr Hallmann, born in Gdynia, Poland, is 175.26 cm tall.", "The 175.26cm tall Piotr Hallmann calls Gdynia, Poland his birthplace."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | birthPlace | Gdynia,_Poland", "doc_id": 510, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | Vice President | President | Vice President | Vice President | President | Vice President | Vice President | President | Vice President | Vice President | President | Vice", "target": ["The leader's title in India is \"President.\"", "The leader of India is given the title of President.", "The leader of India is called the President."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | leaderTitle | President", "doc_id": 677, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis.org/ | http://www.stavropolis", "target": ["The asteroid 1147 Stavropolis was discovered on the 11th of June 1929.", "1147 Stavropolis is an asteroid, discovered on 11 June 1929.", "1147 Stavropolis was discovered on June 11, 1929."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discovered | 1929-06-11", "doc_id": 967, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| $8.00.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is", "target": ["The operating income of Trane is $875,400,000.", "Trane has an operating income of 875.4 million USD.", "Trane has an operating income of $875,400,000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | operatingIncome | 875400000", "doc_id": 1137, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthDate | 1964", "target": ["Nie Haisheng was born in Zaoyang on October 13, 1964, took part in the Shenzhou 6 mission and was part of the mission Shenzhou 10.", "Nie Haisheng was born on 10/13/1964 in Zaoyang. Nie Haisheng was a crew member on Shenzhou 6 and took part in the Shenzhou 10 mission.", "Nie Haisheng was born on October 13, 1964 in Zaoyang. Haisheng was part of the Shenzhou 10 mission and took part in the Shenzhou 6 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | birthPlace | Zaoyang", "doc_id": 1540, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca is a stadium in Arapiraca. It is the home ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense of the Brazilian Championship Series C where the champions are Vila Nova Futebol Clube. The Brazilian name for the championship is Campeonato Brasileiro S\u00e9rie C, and Agremia\u00e7\u00e3o Sportiva Arapiraquense competed there in 2015. The club has 17,000 members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1634, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkey.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Re\u015fadiye is part of the Tokat Province.", "Re\u015fadiye is a part of the Tokat Province.", "The town of Resadiye is part of Tokat Province."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nRe\u015fadiye | isPartOf | Tokat_Province", "doc_id": 984, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nThe Quine Tape is a collection of recordings made by the philosopher John Searle in the 1970s. The tapes were made by Searle in his home in Cambridge, Massachusetts, and were intended to be used as a teaching aid. The tapes were never intended to be released, and Searle has stated that he did not intend for them to be.\nThe Quine Tape is a collection of recordings made by the philosopher John Searle in the 1970s. The tapes were made by Searle in his home in Cambridge, Massachusetts, and were intended to be used as a teaching aid. The tapes were never intended to be released, and Searle has stated that he did not intend for them to be.\nThe Quine Tape is a collection of recordings made by the philosopher John Searle in the 1970s. The tapes were made by Searle in his home in Cambridge, Massachusetts, and were intended to be used as a teaching aid. The tapes were never intended to be released, and Searle has stated that he did not intend for them to be.\nThe Quine Tape is a collection of recordings made by the philosopher John Searle in the 1970s. The tapes were made by Searle in his", "target": ["The Bootleg Series Volume 1: The Quine Tapes was recorded under the Universal Music Group record label.", "The Bootleg Series Volume I: The Quine Tapes is released by the record label Universal Music Group.", "The record label of Bootleg Series Volume 1: The Quine Tapes is Universal Music Group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 169, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | birthPlace | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate | birthDate |", "target": ["Liselotte Grschebina was born on May 2nd, 1908.", "Liselotte Grschebina was born on May 2, 1908.", "Liselotte Grschebina was born on 1908-05-02."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 1286, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist | Wharton_Tiers, Turn_Me_On_(album) | artist |", "target": ["The album Turn Me On was produced by Wharton Tiers and was preceded by the album Let It Breed.", "The album Turn Me On, produced by Wharton Tiers, is preceded by the album Let It Breed.", "Wharton Tiers is the producer of the album \u2018Turn Me On\u2019 which was preceded by the album \u2018Let it Breed\u2019."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 793, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | current", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall, located in Williamsburg, Virginia, designed by Robert A.M. Stern and owned by the College of William and Mary.", "The architect of Alan B Miller Hall, situated in Williamsburg, Virginia, is Robert A M Stern. The Mason School of Business are the current tenants, however the Hall is actually owned by The College of William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1242, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["\"Let It Breed\" was followed by the album \"Turn Me On\".", "The album Let It Breed is followed by the release of the album Turn Me On.", "The album Let It Breed was followed by the release of the album Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLet_It_Breed | followedBy | Turn_Me_On_(album)", "doc_id": 273, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | citizenship | Turkey,", "target": ["Turkish citizen Nurhan Atasoy, resident of Istanbul, won the State Award for Superior Achievement.", "Nurhan Atasoy, of Turkish citizenship and nationality, resides in Istanbul, Turkey. Nurhan won the State Award for Superior Achievement.", "Nurhan Atasoy, a Turkish citizen of Turkish nationality, is a resident of Istanbul. He was awarded the State Award for Superior Achievement."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement", "doc_id": 656, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | orbitalPer", "target": ["1147 Stavropolis has an epoch of 31 July 2016 (JD2457600.5), a periapsis of 260855000000.0, and an orbital period of 1249.6.", "1147 Stavropolis's epoch was on July 31, 2016 and has a periapsis of 260855000000.0 and an orbital period of 1249.6 days.", "1147 Stavropolis, which had its epoch on July 31, 2016, has a periapsis of 260855000000 and an orbital period of 1249.6 days."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 352, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Wharton Tiers produced the Turn Me On album, followed by the album Take It Off!", "Wharton Tiers produced Turn Me On, which was followed by Take It Off!", "The album Turn me on Produced by Wharton Tiers came before the album Take it off."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | followedBy | Take_It_Off!", "doc_id": 919, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The Kingdom of England was founded in the year 927.", "The founding year for the Kingdom of England is 927.", "The founding year of the Kingdom of England was 927."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKingdom_of_England | foundingYear | 0927", "doc_id": 362, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_Arabic| Arabic| Modern_Standard_", "target": ["One of the official languages of Israel Is Modern Standard Arabic.", "The official language of Israel is Modern Standard Arabic."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | officialLanguage | Modern_Standard_Arabic", "doc_id": 249, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "State University, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MSU, MS", "target": ["The Pontiac Rageous was first produced in 1997 in Michigan.", "The Pontiac Rageous was first made in 1997 and assembled in Michigan.", "The Pontiac Rageous went into production in 1997 in Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan", "doc_id": 1481, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", CA, USA, September, 2013, by The Velvet Underground & Nico.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language. The text needs to include all of the information in the representation.\nThe first thing I will do is to show the representation and then the natural language", "target": ["Bootleg Series Volume 1: The Quine Tapes, which was recorded in San Francisco, was preceded by the album Squeeze.", "Bootleg Series Volume I: The Quine Tapes was recorded in San Francisco and preceded by Squeeze by The Velvet Underground.", "The Bootleg Series Volume I: The Quine Tapes recorded in San Francisco, preceded the Velvet Underground album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 581, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"Thesis\"", "target": ["There are 9400 postgraduate students attending the University of Burgundy.", "The University of Burgundy has 9400 post-graduate students.", "The University of Burgundy has 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 1118, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "km\u00b2 (as of 1 January 2016)The city of Karlsruhe is the capital of the federal state of Baden-W\u00fcrttemberg, Germany. It is located in the southwest of the country, on the Neckar River, at the confluence of the Neckar and the Rhine.\nThe city of Karlsruhe is the capital of the federal state of Baden-W\u00fcrttemberg, Germany. It is located in the southwest of the country, on the Neckar River, at the confluence of the Neckar and the Rhine.\nThe city of Karlsruhe is the capital of the federal state of Baden-W\u00fcrttemberg, Germany. It is located in the southwest of the country, on the Neckar River, at the confluence of the Neckar and the Rhine.\nThe city of Karlsruhe is the capital of the federal state of Baden-W\u00fcrttemberg, Germany. It is located in the southwest of the country, on the Neckar River, at the confluence of the Neckar and the Rhine.\nThe city of Karlsruhe is the capital of the federal state of Baden", "target": ["Liselotte Grschebina was born in Karlsruhe, which has a total area of 173.46 square kilometres.", "Liselotte Grschebina was born in Karlsruhe, which has a total area of 173.46.", "Liselotte Grschebina was born in Karlsruhe, with a total area of |is 173.46."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Karlsruhe | areaTotal | 173.46", "doc_id": 329, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen_Raymond | John_Mills | Aileen", "target": ["John Mills was married to Aileen Raymond.", "John Mills had a spouse named Aileen Raymond."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | spouse | Aileen_Raymond", "doc_id": 1182, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Adolfo Suarez Madrid-Barajas airport is located at Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas, is operated by ENAIRE which is located in Madrid and is 610 metres above sea level.", "Adolfo Suarez Madrid-Barajas Airport is located in Madrid, Paracuellos de Jarama, San Sebastian de los Reyes and Alcobendas, 610 meters above sea level. This airport is operated by ENAIRE, also located in Madrid.", "Operated by the Madrid based ENAIRE, the Adolfo Su\u00e1rez Madrid\u2013Barajas Airport has an elevation of 610 metres and is found in Madrid's Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | \"Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas\"", "doc_id": 888, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Turn Me On album was followed by the Take it Off album.", "The album Turn Me On is followed by the album Take It Off!", "The album Turn Me On was followed by Take It Off!"], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | followedBy | Take_It_Off!", "doc_id": 1411, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner | instrument | genre | Black_metal, Aaron_Turner", "target": ["Electric guitarist Aaron Turner plays Black Metal.", "Aaron Turner the Black metal musician plays electric guitar.", "Aaron Turner performs black metal music with the electric guitar."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Electric_guitar", "doc_id": 1076, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | religion | religion, Lady_Anne_Monson | occupation, Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | age, Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_Monson | height, Lady_Anne_Monson | age, Lady_Anne_", "target": ["Lady Anne Monson was born in Darlington, in the Kingdom of England, on January 1st, 1726. Her nationality was with the Kingdom of England, but her residence was in India. She passed away on February 18th, 1776.", "Lady Anne Monson was born in Darlington, in the Kingdom of England, on January 1st, 1726. Though Monson lived in the Kingdom of England and held British nationality, she resided in India for most of her life. She passed away on February 18th, 1776.", "Lady Anne Monson whose nationality is English resides in India was born in Darlington, Kingdom of England on 1st of January 1726 and died on 18th of February 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India", "doc_id": 731, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusical", "target": ["Aaron Turner starter performing in 1995 and began singing for a living. He performs under the genre of post-metal, and is noted to have played with the band Twilight.", "Singer Aaron Turner began performing in 1995. Turner is a post-metal musician, and played with the band Twilight.", "Aaron Turner sings for a living, started performing in 1995 and played with the band Twilight, which is post metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | instrument | Singing, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 202, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English", "target": ["Indian is the demonym for people from India.", "The demonym for a person from India is Indian.", "Indian is the demonym for the people of India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | demonym | Indian", "doc_id": 619, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | Last updated: 2017-04-15T20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00, lastT20:00:00+00:00:00, lastT20:00:00+00:00:00, lastT20:00:00+00:00:00:00, lastT20:00:00+00:00:00:00, lastT20:00:00+00:00:00:00:00, lastT20:00:", "target": ["Bananaman last aired on April 15th 1986, on BBC.", "Broadcasted by the BBC, Bananaman was last aired on the 15th April 1986.", "Bananaman, the TV series, was last shown on the BBC, 15th April 1986.", "The BBC broadcasted Bananaman on April 15th 1986 for a last time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC", "doc_id": 679, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle | Coupe | bodyStyle |", "target": ["The Pontiac Rageous, a coupe assembled in Michigan, was first and last produced in 1997. It had its assembly line in Detroit.", "The Pontiac Rageous, a car with a coupe body style, assembled in Detroit Michigan, was first and last produced in 1997.", "In 1997, the Pontiac Rageous coupe (assembled in Detroit, Michigan) went into and ended production."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | bodyStyle | Coupe", "doc_id": 265, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property", "target": ["The 11th Mississippi Infantry Monument, a contributing property, is located in Adams County, Pennsylvania which is east to the Pennsylvania's Franklin County.", "The 11th Mississippi Infantry Monument, a contributing property, is located in Adams County, Pennsylvania which is east to the Franklin County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 823, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | D", "target": ["The University of Burgundy is located in Dijon.", "The University of Burgundy Campus is located in the city of Dijon.", "Both the campus of the University, University of Burgundy is located in the city of Dijon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon", "doc_id": 1288, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(actor) | actor | HarryCarey(", "target": ["Harry Carey (actor, born in 1878) was the writer of the film McVeagh of the South Seas, directed by Cyril Bruce.", "Originally written by Harry Carey, the movie McVeagh of the South Seas was directed by Cyril Bruce.", "Cyril Bruce directed the movie McVeagh of the South Seas written by Harry Carey who was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 665, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy", "target": ["Bananaman starring Bill Oddie and created by Steve Bright was broadcasted by BBC. BBC was founded by 1st Baron, John Reith and has its home at Broadcasting House.", "Based at Broadcasting House and founded by John Reith 1st Baron Reith, the BBC broadcast the show Bananaman. Bananaman was written by Steve Bright and starred Bill Oddie.", "The headquarters of BBC is called Broadcasting House. The BBC was founded by John Reith, Baron Reith 1st. Bananaman was a tv series shown on the BBC and created by Steve Bright. The series starred Bill Oddie."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, BBC | foundedBy | John_Reith,_1st_Baron_Reith, Bananaman | broadcastedBy | BBC", "doc_id": 762, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878) | director | Cyril", "target": ["Harry Carey (born 1878) was a movie actor and starred in and directed McVeagh of the South Seas. Cyril Bruce also directed McVeagh of the South Seas.", "Harry Carey, born in 1878, both directed and had a role in McVeagh of the South Seas. The film was also directed by Cyril Bruce.", "'McVeagh of the South Seas' was directed by Cyril Bruce and actor Harry Carey, born in 1878. Harry Carey also played in the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878)", "doc_id": 1285, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The Bootleg Series Volume I: The Quine Tapes was recorded in the United States.", "Bootleg Series Volume 1: The Quine Tapes was recorded in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States", "doc_id": 1311, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense (full name \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\", 17,000 members) play in the Campeonato Brasileiro S\u00e9rie C league from Brazil & played in the 2015 season. Est\u00e1dio Municipal Coaracy da Mata Fonseca, located in Arapiraca, is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense.", "The Agremia\u00e7\u00e3o Sportiva Arapiraquense club with 17000 members play in the Campeonato Brasileiro S\u00e9rie C league in 2015 based in Brazil. The full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" and their ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca is located in Arapiraca & is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense (full name \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"), which has 17000 members. Agremia\u00e7\u00e3o Sportiva Arapiraquense from Brazil play in the Campeonato Brasileiro S\u00e9rie C league in the 2015 season."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 857, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a", "target": ["Expect a Miracle, a compilation album produced by Brian Kelly with a runtime of 54.56 minutes, was preceded by Kelly's album Pools of Light.", "Brian Kelly's compilation album, Expect a Miracle (runtime of 54:56) was preceded by Pools of Light.", "Expect a Miracle, a compilation album produced by Brian Kelly, has a runtime of 54.56. It was preceded by Kelly's album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 993, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion | religion, Irreligion", "target": ["Nurhan Atasoy, a Turkish national, resides in Istanbul, Turkey. With Ankara as its capital, many people\u2019s religion is defined as irreligion in Turkey.", "Nurhan Atasoy, of Turkish nationality, lives in Istanbul, Turkey. In Turkey, the capital of which is Ankara, some define the religion as irreligion.", "Nurhan Atasoy, a Turkish national, resides in Istanbul in the country of Turkey, where the capital city is Ankara and some people are irreligious."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Turkey | capital | Ankara, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Turkish_people | religion | Irreligion", "doc_id": 1301, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Warner Bros.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list", "target": ["The owner of HBO is Time Warner.", "Time Warner owns HBO.", "Time Warner is the owner of HBO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHBO | owner | Time_Warner", "doc_id": 477, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_", "target": ["The US national Alan Shepard was born in New Hampshire in 1923 and died in California. He was awarded the Distinguished Service Medal by the United States Navy.", "Alan Shepard was born on November 18, 1923 in New Hampshire in the U.S., and he died in California. He was awarded the Distinguished Service Medal by the United States Navy.", "Alan Shepard is an American who was born on Nov 18, 1923 in New Hampshire, was awarded the Distinguished Service Medal in the United States Navy and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 193, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard", "target": ["Alan Shepard was an American who was born on November 18, 1923 in New Hampshire, which is home to the purple finch. He was awarded the Distinguished Service Medal by the United States Navy and died in California.", "The American Alan Shepard was born in New Hampshire in 1923 and died in California, having been awarded the Distinguished Service Medal whilst in the United States Navy. His native state boasts the Purple Finch as a local bird.", "The nationality of Alan Shepard is American, and he was born on November 18th, 1923. His birthplace was New Hampshire, and he died in California. The purple finch is a native bird to New Hampshire. Shepard was awarded the distinguished service medal by the United states navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, New_Hampshire | bird | Purple_finch, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1478, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | deathPlace | Washington, D.C., Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States", "target": ["Abraham A. Ribicoff was born in Connecticut and died in the United States. He was an American citizen who was in office while John F. Kennedy was president and his wife was called Ruth Ribicoff.", "Connecticut, USA, was the birthplace of Abraham A. Ribicoff who was an American citizen. Abraham was married to Ruth Ribicoff and was in office at the same time that John F. Kennedy was President of the United States. Abraham later died in the United States.", "Abraham A. Ribicoff was in office during the John F. Kennedy presidency and was married to Ruth Ribicoff. Abraham A. Ribicoff was American and his place of birth was Connecticut. He also died in the USA."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | Connecticut", "doc_id": 480, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala | timeZone | UTC | Ciudad_Ayala |", "target": ["Ciudad Ayala, located in the Pacific Daylight Time Zone, has a metropolitan population of 1,777,539, and the leader is called the governator.", "Ciudad Ayala is located in the Pacific Daylight time zone with a leader called the Governator, and the population of 1777539.", "In Ciudad Ayala (PDT time zone) the leader is called the governator. The population of the metropolitan is 1,777,539."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 1643, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Roadburn_2008 (Year_of_No_Light_album) | artist | Live_at_Road", "target": ["The Year of No Light album Live at Roadburn 2008 was followed by their album Nord.", "Live at Roadburn 2008 was preceded by the album Nord played by Year of No Light.", "Year of No Light, who released the album Nord, followed this up with the album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light", "doc_id": 49, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight |", "target": ["Nie Haisheng worked as a fighter pilot and is from the People's Republic of China.", "Nie Haisheng was a fighter pilot from the People's Republic of China.", "Nie Haisheng is a fighter pilot and a citizen of the People\u2019s Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | occupation | Fighter_pilot", "doc_id": 630, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre | Trance, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns, Andrew_Rayel | genre", "target": ["Andrew Rayel, who is associated with Christian Burns, has performed in the genre of trance music.", "Andrew Rayel, whose musical genre is trance music, is associated with Christian Burns.", "Andrew Rayel, the Trance musician, is an associate of Christian Burns."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | Christian_Burns", "doc_id": 444, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation", "target": ["The location of Lionsgate is in the United States.", "Lionsgate is located in the US.", "Lionsgate is located in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | location | United_States", "doc_id": 1262, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25 | Piotr_Hallmann | weight | 70.308, Piotr_", "target": ["Piotr Hallmann was born on August 25, 1987 and he weighs 70.308 kilograms.", "Piotr Hallmann was born in August 25th, 1987 and weighs 70.308kgs.", "Piotr Hallmann was born on August 25, 1987 and weighs 70.308 kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthDate | 1987-08-25", "doc_id": 617, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hypermarcas | location | Brazil, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Pharmaceutical", "target": ["Hypermarcas, which is located in Brazil, is a company in the pharmaceuticals industry.", "Hypermarcas is in the pharmaceutical industry and is located in Brazil.", "Hypermarcas is a pharmaceutical company which is located in Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | industry | Pharmaceuticals", "doc_id": 1026, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"\nA", "target": ["The Acharya Institute of Technology can be found in India in the city of Bangalore.", "Acharya Institute of Technology is located in Bangalore, India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\"", "doc_id": 1233, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".com | General Motors, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first", "target": ["The parent company of Pontiac is General Motors.", "Pontiac's parent company is General Motors.", "General Motors is the parent company of Pontiac."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac | parentCompany | General_Motors", "doc_id": 1475, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Mobile_Apps | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile_Games | Mobile", "target": ["GMA New Media, a company founded on 01-01-2000 are manufacturers of mobile applications.", "GMA New Media, which was founded on January 1, 2000, is a company that offers products such as mobile applications.", "GMA New Media makes mobile apps and was founded on 01/01/2000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | foundingDate | 2000-01-01, GMA_New_Media | product | Mobile_Applications", "doc_id": 15, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China | is a Ph.D. student in the Department of Computer Science at the University of California, Berkeley. He received his B.S. degree in Computer Science from Zhejiang University in 2012. His research interests include natural language processing, machine learning, and computational linguistics.", "target": ["Nie Haisheng is from Zaoyang in Hubei province.", "Nie Haisheng was born in Zaoyang, which is part of Hubei province.", "Nie Haisheng was born in Zaoyang which is a city that is a part of Hubei province."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Zaoyang | isPartOf | Hubei", "doc_id": 377, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The construction of Alan B. Miller Hall started on March 30th, 2007. Robert A. M. Stern is the architect of the building. Alan B. Miller Hall is located at 101 Ukrop Way, Virginia, and the current tenant is the Mason School of Business. The College of William and Mary owns the Hall.", "The construction of Alan B. Miller Hall began on March 30th, 2007. Robert A. M. Stern designed the building. Alan B. Miller Hall is located at 101 Ukrop Way, Virginia,and is owned by the College of William and Mary. The current tenant is the Mason School of Business.", "The College of William and Mary is the owner of the Alan B. Miller Hall at 101 Ukrop Way in Virginia. The building, which began construction on the 30th of March 2007, was designed by Robert A.M. Stern. The current occupants are The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 585, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young woman in a factory farm. The film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and animation. The animation is a combination of stop-motion and hand-drawn animation.\nThe film is a combination of interviews, archival footage, and", "target": ["Sarah Teale was both the producer and director of the 83-minute movie Death on a Factory Farm.", "Death on a Factory Farm, with a running time of 83.0, was produced and directed by Sarah Teale.", "Sarah Teale directed and produced Death on a Factory Farm which runs 83 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 179, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currency | Mexican_peso, Bionico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency | Mexican_peso, Bionico | country | currency", "target": ["Bionico is a food found in Mexico, served at the dessert course. The leader of Mexico (currency: peso) is Silvano Aureoles Conejo.", "Bionico is a dessert found in Mexico, where the leader is Silvano Aureoles Conejo and the currency is the Mexican peso.", "Mexico, led by Silvano Aureoles Conejo, uses the peso as its currency and has a dessert called Bionico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico", "doc_id": 839, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", HBO | headquarter | New_York_City, New_York, HBO | owner | Time_Warner, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | producer | Sarah_Teale, HBO | headquarter | New_York_City, New_York, HBO | owner | Time_Warner, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | producer | Sarah_Teale, HBO | headquarter | New_York_City, New_York, HBO | owner | Time_Warner, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | producer | Sarah_Teale, HBO | headquarter | New_York_City, New_York, HBO | owner | Time_Warner, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | producer | Sarah_Teale, HBO | headquarter | New_York_City, New_York, HBO | owner | Time_", "target": ["Tom Simon and Sarah Teale produced the movie Death on a Factory Farm which was broadcasted by the Time Warner owned HBO which has headquarters in New York City, New York.", "The film Death on a Factory Farm was produced by Tom Simon and Sarah Teale and is broadcasted by HBO. Owned by Time Warner, HBO's headquarters is in New York City.", "HBO's headquarters are situated in New York City, and it is headed by Time Warner. HBO released Death on a Factory Farm produced by Sarah Teale and Tom Simon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Tom_Simon, HBO | headquarter | New_York_City,_New_York, HBO | owner | Time_Warner, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | producer | Sarah_Teale", "doc_id": 388, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_Griggs_(director) | Super_Capers | writer | Ray_", "target": ["Super Capers, whose budget was 2000000, was lead by Adam West, and both written and directed by Ray Griggs.", "Super Capers is a film directed and written by Ray Griggs. It starred Adam West and had a budget of 20000000 dollars.", "Super Capers is starring Adam West and the budget was $2,000,000. It was written and directed by Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Adam_West, Super_Capers | budget | 2000000.0, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director)", "doc_id": 343, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", C.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nCiudad_Ayala | isPartOf | Morelos, C.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nCiudad_Ayala | isPartOf | Morelos, C.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nCiudad_Ayala | isPartOf | Morelos, C.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nCiudad_Ayala | isPartOf | Morelos, C", "target": ["Ciudad Ayala is part of Morelos.", "Ciudad Ayala is a part of Morelos."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | isPartOf | Morelos", "doc_id": 1104, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Bananaman was first aired on 10/03/1983, and its creator was Steve Bright.", "Bananaman, which first aired on 3/10/1983, was created by Steve Bright.", "Bananaman, which first aired on the 3rd of October, 1983, was created by Steve Bright."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | creator | Steve_Bright, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 1225, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the", "target": ["India has a total area of 3287590000000.0.", "The total area of India is 3,287,590 square kilometers.", "The total area of India is 32875900000000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | areaTotal | 3287590000000.0", "doc_id": 1755, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0,", "target": ["Ciudad Ayala city, led by Juan Nolasco, has a population density of 1604.0.", "The population density of Ciudad Ayala led by Juan Nolasco is 1604.0.", "One of the leaders of Ciudad Ayala, which has a population density of 1604, is Juan Nolasco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leader | Juan_Nolasco", "doc_id": 349, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing | moon landing |", "target": ["Buzz Aldrin was an American crew member on Apollo 11.", "Buzz Aldrin, an American, was a crew member of Apollo 11.", "Buzz Aldrin, a United States national was a member of the Apollo 11 crew."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | nationality | United_States, Buzz_Aldrin | mission | Apollo_11", "doc_id": 1470, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina was born in Karlsruhe on May 2nd, 1908, and died on June 14th, 1994.", "Liselotte Grschebina was born in Karlsruhe on May 2nd, 1908 and died on June 14th, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1403, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cast | plot | rating | runtime | 100 min.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel | cast | plot | rating | runtime | 100 min.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel | cast | plot | rating | runtime | 100 min.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel | cast | plot | rating | runtime | 100 min.\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel | cast | plot | rating | runtime | 100", "target": ["It's Great to Be Young, which is a 1956 film directed by Cyril Frankel, is 94 minutes in length.", "Cyril Frankel directed the movie It's Great to be Young, which has a running time of 94 minutes.", "The length of 1956's film \"It's Great to Be Young\" is 94 minutes and was directed by Cyril Frankel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 1674, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a", "target": ["Expect a Miracle, with a runtime of 54:56, was preceded by Pools of Light by Brian Kelly.", "Expect a Miracle, with a runtime of 54.56, is preceded by the Brian Kelly album Pools of Light.", "With a runtime of 54.56 minutes, the Brian Kelly album Expect a Miracle was preceded by the album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 1541, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Mexico is a country, and its people are called Mexicans. If you wanted to buy food there you would have to use their currency, which is the peso. Mexico has yummy desserts such as bionico. Bionico is made from several ingredients including sour cream, and it can be found in Guadalajara as well as Mexico. If you don\u2019t like bionico, you can go for a sandesh, another dessert.", "Sandesh is a confectionary dessert, much like Bionico, which is a dessert made with sour cream from the Guadalajara region in Mexico. Mexico uses the peso as its currency and is home to Mexicans.", "The peso is the currency of Mexico, the country inhabited by Mexicans. Mexico has a bionico usually served at the dessert course; this dish includes sour cream as an ingredient and comes from Guadalajara. Sandesh can be also served for dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | ingredient | Sour_cream, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 434, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL", "target": ["Akeem Ayers was born on July 10, 1989 and made his debut for the Tennessee Titans.", "Akeem Ayers made his debut for the Tennessee Titans and he was born on July 10th,1989.", "Born on July 10th, 1989, Akeem Ayers debuted with the Tennessee Titans team."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAkeem_Ayers | debutTeam | Tennessee_Titans, Akeem_Ayers | birthDate | 1989-07-10", "doc_id": 1028, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04-27 | deathDate | 1937-04", "target": ["Olga Bondareva who was born on April 27, 1937 in Leningrad, USSR, died in Saint Petersburg.", "Olga Bondareva was born in Leningrad, which was part of the USSR, on April 27, 1937. She later passed away in Saint Petersburg.", "Olga Bondareva who was born in Leningrad, USSR on April 27, 1937 died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthDate | 1937-04-27", "doc_id": 768, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "-01-01, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | director | Harold_French, Harold_French | birthYear | 1897-01-01, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | director | Harold_French, Harold_French | birthYear | 1897-01-01, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | actor | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English", "target": ["The film \"English Without Tears\" was written by Terence Rattigan, who died on 30/11/1977. The film's director, Harold French, was born in 1897.", "Harold French who was born in 1897 directed the film, English Without tears. Terence Rattigan wrote the movie and died on November 30th, 1977.", "English Without Tears was directed by Harold French who was born in 1897. It was written by Terence Rattigan who died on November 30th, 1977."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | writer | Terence_Rattigan, Terence_Rattigan | deathDate | 1977-11-30, English_Without_Tears | director | Harold_French, Harold_French | birthYear | 1897", "doc_id": 122, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | absoluteMagnitude |", "target": ["1147 Stavropolis has 418476000000.0 apoapsis, and it has an absolute magnitude of 11.5. It was discovered on June 11, 1929 by Grigory Neujmin. The asteroid has an orbital period of 1249.6 days. It has a periapsis of 260855000000.0.", "1147 Stavropolis is an asteroid, discovered on 11 June 1929, by Grigory Neujmin. Its absolute magnitude is 11.5, the periapsis is 260855000000.0, the orbital period is 1249.6 and the apoapsis is 418476000000.0 AU.", "On the 11th of June 1929, Grigory Neujmin discovered asteroid 1147 Stavropolis which has an orbital period of 1249.6 days, an apoapsis of 418476000000.0, a periapsis of 260855000000, and an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 615, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | year | release | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date | release date |", "target": ["The album Turn Me On is by the American band which is produced by The Honeymoon Killers which is a punk blues album.", "The artist and the producer of the Turn Me On album is the Honeymoon Killers which is in Punk blues genre.", "The band, the Honeymoon Killers, self produced their punk blues album titled, Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 1115, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence |", "target": ["Darinka Dentcheva resides in New Jersey, USA. Her alma mater is Humboldt University. Darinka Dentcheva is known for stochastic programming and was influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva resides in New Jersey, USA. Her alma mater was Humboldt University. Darinka is known for stochastic programming and was influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva, who resides in New Jersey, United States, graduated Humboldt University and is known for stochastic programming having developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States", "doc_id": 1486, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United_States, United", "target": ["The Bootleg Series Volume I: The Quine Tapes, produced by the Velvet Underground, was recorded in the United States and has a run time of 230:05.", "The Bootleg Series Volume I: The Quine Tapes, produced by The Velvet Underground and recorded in the United States, has a rung time 230.05 minutes.", "The Quine Tapes was produced by The Velvet Underground which was 230.05 minutes long that was recorded in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States", "doc_id": 181, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cast | John_Barker | music | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production | John_Barker | production", "target": ["The director of the movie Death on a Factory Farm was Sarah Teale.", "Death on a Factory Farm is directed by Sarah Teale.", "Sarah Teale directed Death on a Factory Farm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 633, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | editor | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm", "target": ["\"Death on a Factory Farm\" is a movie produced by Tom Simon and directed by Tom Simon.", "'Death on a Factory Farm' was directed and produced by Tom Simon.", "Tom Simon was the producer and director of \"Death on a Factory Farm\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon", "doc_id": 945, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy", "target": ["The Hobbit's genre is high fantasy.", "The Hobbit literary genre is high fantasy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Hobbit | literaryGenre | High_fantasy", "doc_id": 1738, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | nationality | Germany, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Lisel", "target": ["Israeli national Liselotte Grschebina was born in the German Empire and died in Israel on June 14, 1994.", "Liselotte Grschebina died in Israel on June 14, 1994. Though she had Israeli nationality, she was born in the German Empire.", "Liselotte Grschebina was an Israeli national born in the German Empire. She died on June 14, 1994 in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire", "doc_id": 57, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_", "target": ["Harry Carey, born in 1878, wrote, directed and starred in the movie McVeagh of the South Seas which was also directed by Cyril Bruce and registered in IMDb with the ID 0004319.", "Harry Carey, born in 1878, wrote, directed and starred in McVeagh of the South Seas. The movie was also directed by Cyril Bruce and was registered in IMDb with the ID 0004319.", "\"McVeagh of the South Seas\" (IMDb ID 0004319) is a film written by and starring actor Harry Carey (born 1878). Carey also co-directed the film with Cyril Bruce."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 892, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | periapsis | 1249.6, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | periapsis | 1249.6, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | periapsis | 1249.6, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | orbit | periapsis | 1249.6, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 11", "target": ["1147 Stavropolis is an asteroid that was discovered by Grigory Neujmin. It has a rotational period of 20378.5 and an orbital period of 1249.6 days. 1147 Stavropolis epoch is July 31, 2016, the apoapsis is 418476000000.0 and the periapsis is 260855000000.0.", "The asteroid 1147 Stavropolis, first discovered by Grigory Neujmin, has an orbital period and rotation period of 1249.6 days and 20378.5, respectively. It has an apoapsis of 418476000000.0 and a periapsis of 260855000000, reckoned by the epoch 31 July 2016 (Julian Day 2457600.5).", "1147 Stavropolis discovered by Grigory Neujmin with epoch of 31 July 2016 (JD2457600.5) has periapsis and apoapsis of 260855000000.0 and 418476000000.0 AU respectively. With rotation period of 20378.5 the orbital period of 1147 Stavropolis is 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5), 1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 238, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity |", "target": ["Ciudad Ayala city has a population density of 1604.0, it falls into UTC offset -6 timezone and its elevation above the sea level is 1147.0.", "Ciudad Ayala (UTC offset of -6) has a population density of 1604.0; its elevation above sea level is 1147.0.", "Ciudad Ayala has a population density of 1,604, and it is 1,147 meters above sea level. The city has a UTC offset of -6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0", "doc_id": 999, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44, Bedford_Aerodrome", "target": ["The ICAO location identifier for the Bedford Aerodrome is EGBF which is located in Thurleigh, whose postal code is MK44.", "The Bedford Aerodrome is located in Thurleigh, the postal code of which is MK44. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "Bedford Aerodrome is located in Thurleigh, which has the postal code MK44. The ICAO location identifier for Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Thurleigh | postalCode | MK44", "doc_id": 1549, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | periapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147_Stavropolis | apoapsis | 43848000000.0, 1147", "target": ["1147 Stavropolis discovered on June 11, 1929 with rotation period of 20378.5 has a periapsis of 260855000000.0 and apoapsis of 418476000000.0. The orbital period of the asteroid is 1249.6 days.", "1147 Stavropolis is an asteroid, discovered on June 1929. It has a rotation period of 20378.5. Its periapsis is 260855000000.0, the apoapsis of the asteroid is 418476000000 AU and the orbital period is 1249.6.", "The asteroid 1147 Stavropolis discovered on the 11th of June 1929 with a rotation period of 20378.5 has a periapsis of 260855000000 and apoapsis of 418476000000.0. The orbital period of this asteroid is 1249.6 days."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 256, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| professor of computer science | professor of mathematics | professor of physics | professor of electrical engineering | professor of computer science | professor of electrical engineering | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of electrical engineering | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor of computer science | professor", "target": ["Dennis William Sciama was the doctoral advisor for Brandon Carter, known for the Carter Constant.", "Brandon Carter, whose doctoral advisor was Dennis William Sciama, is known for the invention of the Carter constant.", "Dennis William Sciama is the doctoral advisor of Brandon Carter, who is known for the Carter constant."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Carter_constant, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama", "doc_id": 1240, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhuk", "target": ["Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology. Its address is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090. The All India Council for Technical Education, located in Mumbai, was proud to give the Technical Campus status to the Acharya Institute of Technology.", "Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology which is based in Bangalore. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Acharya Institute of Technology is directed by Dr. G. P. Prabhukumar and was given the Technical Campus status by the All India Council for Technical Education which is located in Mumbai. The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090 which is in Bangalore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1344, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_Futebol_Clube | champions | Vila_Nova_F", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense competed in the Campeonato Brasileiro Serie C league in 2015 . The Vila Nova Futebol Clube were champions in that tournament.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league in 2015 where Vila Nova Futebol Clube were declared as the champions of the league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C", "doc_id": 199, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge | almaMater_of_Cambridge", "target": ["Brandon Carter was born in 1942 on January, 1 and graduated from the University of Cambridge. He is best known for creating the Penrose diagram.", "Brandon Carter, known for the Penrose diagram, was born on January 1, 1942 and attended the University of Cambridge.", "Born on January 1st, 1942, Brandon Carter is a graduate of the University of Cambridge known for the Penrose diagram."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Penrose_diagram, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge", "doc_id": 1010, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | country | \"United States\"\n14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | country | \"United States\"\n15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | country | \"United States\"\n16th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 16th_Mississippi_Infantry_Monument | country | \"United States\"\n17th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 17th_Mississ", "target": ["Adams County, Pennsylvania, United States is home to the 11th Mississippi Infantry Monument.", "The 11th Mississippi Infantry Monument is located in Adams County, Pennsylvania which is in United States.", "The location of the 11th Mississippi Infantry Monument is Adams County, Pennsylvania, United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 1390, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | age | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight |", "target": ["Terence Rattigan was born on 01/01/1911.", "Terence Rattigan was born on January 1st, 1911.", "Terence Rattigan was born on the first of January in 1911."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTerence_Rattigan | birthDate | 1911-01-01", "doc_id": 470, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the", "target": ["Death on a Factory Farm was edited by Geof Bartz and produced by Tom Simon. The 83 minute long film includes music composed by Jamie Lawrence.", "Death on a Factory Farm is an 83 minute movie produced by Tom Simon. Geof Bartz edited the film while Jamie Lawrence wrote the music.", "The film Death on a Factory Farm, with a running time of 83.0, was produced by Tom Simon, edited by Geof Bartz, and had music composed by Jamie Lawrence."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 865, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco | City, Ciud", "target": ["In Ciudad Ayala, a city with an elevation of 1147.0 above sea level, the leader is named Juan Nolasco.", "Ciudad Ayala is a city situated 1,147 meters above sea level. Juan Nolasco is one of the city's leaders.", "Ciudad Ayala is a city located 1,147 meters above sea level. The city's leader is Juan Nolasco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | leader | Juan_Nolasco", "doc_id": 1691, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France | Dijon, University_of", "target": ["The campus of the University of Burgundy is located in city of Dijon in France.", "The University of Burgundy is located in France with its campus in the city of Dijon.", "The University of Burgundy campus is located in Dijon in France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon, University_of_Burgundy | country | France", "doc_id": 1129, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | keyPerson | CEO, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | numberOfEmployees | 10252 | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | location | Brazil, Hypermarcas |", "target": ["Hypermarcas is a drug maker in the pharmaceutical industry. They were founded in Brazil on January 1, 2001, and employ 10252 people. They are an S.A. corporation, and are managed by a CEO.", "Hypermarcas was founded in 2001-01-01, it is a type of S.A corporation which has 10252 employees. It is a pharmaceutical company located in Brazil that make drugs. It is managed by a CEO.", "Hypermarcas is a pharmaceutical drug company located in Brazil. They were founded on January 1, 2001, and employ 10,252 people. They are an S.A. corporation, headed up by their CEO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | keyPerson | CEO, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A._(corporation), Hypermarcas | numberOfEmployees | 10252", "doc_id": 117, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke-Taylor, Tim_Brooke", "target": ["Bananaman, which first aired on 10/03/1983, had as its star Tim Brooke-Taylor.", "Bananaman, which starred Tim Brooke-Taylor, first aired on 3rd October 1983.", "Tim Brooke-Taylor was the star in Bananaman, which first aired on 03/10/1983."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | firstAired | \"1983-10-03\", Bananaman | starring | Tim_Brooke-Taylor", "doc_id": 877, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | hair color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color | eye color |", "target": ["Lady Anne Monson's nationality was with the Kingdom of England.", "Lady Anne Monson\u2019s nationality is English.", "Lady Anne Monson lived in the Kingdom of England and held British nationality."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 1119, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (", "target": ["Hypermarcas is a pharmaceutical company located in Sao Paulo, Brazil. Brazil is 8514837.14 square kilometers in size.", "Hypermarcas, a pharmaceutical company, is located in Sao Paulo within the 8514837.14 square kilometres that make up the country of Brazil.", "Hypermarcas, a company in the pharmaceuticals industry, is located in Sao Paulo, Brazil, a country with a total area of 8514837.14 square kilometres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | S\u00e3o_Paulo, Brazil | areaTotal | 8514837.14  (square kilometres), Hypermarcas | location | Brazil, Hypermarcas | industry | Pharmaceuticals", "doc_id": 16, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["A person named Jamie Lawrence is a member of the Brentford F.C. while someone with the same name was the composer for \"Death on a Factory Farm\" music.", "Jamie Lawrence, who played for Brentford F.C., wrote the music for the film 'Death on a Factory Farm'.", "Jamie Lawrence, who composed Death on a Factory Farm also played in the club Brentford F.C."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Jamie_Lawrence | club | Brentford_F.C.", "doc_id": 272, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre |", "target": ["The song Mermaid belongs to the musical band Train, has a length of 3 minutes and 16 seconds, and is an example of the reggae genre.. This'll be my year by Train was followed by Mermaid (and the song Imagine) but The Train song Mermaid has a length of 3 minutes and 16 seconds (produced by the Espionage production team).", "The song Mermaid was written by the band Train lasts 3.16 minutes and had been preceded by the song This'll Be My Year. The Train song Mermaid is in the reggae genre & was followed by the release of Imagine by John Lennon performed by Train/produced by the production team Espionage.", "Mermaid is a song by the band Train and was produced by the Espionage production team. It was preceded by the song This'll be my year and was followed by the band\u2019s cover of John Lennon\u2019s Imagine. The song is in the reggae genre and has a total runtime of three minutes and sixteen seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 928, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete |", "target": ["MotorSport Vision is the operating organisation for Bedford Aerodrome which has a runway surface made out of concrete. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and it is 83.2104 above sea level. The aerodrome has a runway called 08/26.", "The Bedford Aerodrome, operated by the MotorSport Vision, is located 83.2 meters above sea level at ICAO location identifier EGBF. It has a concrete runway named \"08/26\".", "MotorSport Vision operates the Bedford Aerodrome, whose ICAO location identifier is EGBF. It is also known for a runway called 08/26, and it has a runway surface made of concrete with the elevation above sea level of 82.2104."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 1526, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_Rohan | The_Lord_of_", "target": ["The Silmarillion is a notable piece of work authored by J.R.R. Tolkien, who also wrote The Fellowship of the Ring.", "J.R.R. Tolkien wrote The Fellowship of the Ring and The Silmarillion.", "The author of The Fellowship of the Ring J.R.R. Tolkien also has Silmarillion as one of the notable works."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | author | J._R._R._Tolkien, J._R._R._Tolkien | notableWork | The_Silmarillion", "doc_id": 1594, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Bananaman, the TV series first aired on the 3rd of October, 1983, was shown on the BBC.", "Bananaman, first aired on 3rd October 1983, was broadcast by the BBC.", "The BBC broadcasted Bananaman, which was first aired on 10/03/1983."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 1529, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | starring | Tom_Lister,_Jr.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | starring | Tom_Lister,_Jr.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | starring | Tom_Lister,_Jr.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nSuper_Capers | starring | Tom_Lister,_Jr.\nI will verbalize an abstract representation of a", "target": ["Super Capers is a film starring Tom Lister Jr.", "Super Capers is starring Tom Lister Jr.", "Super Capers is a movie starring Tom Lister Jr."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Tom_Lister,_Jr.", "doc_id": 1576, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1937-04-01 | author of The Hobbit, The Lord of the Rings, and The Silmarillion.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nJ._R._R._Tolkien | birthDate | 1892-01-03 | deathDate | 1937-04-01 | author of The Hobbit, The Lord of the Rings, and The Silmarillion.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nJ._R._R._Tolkien | birthDate | 1892-01-03 | deathDate | 1937-04-01 | author of The Hobbit, The Lord of the Rings, and The Silmarillion.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation", "target": ["J. R. R. Tolkien was born on January 3, 1892.", "The birth date of J.R.R Tolkien is January 3rd, 1892.", "J. R. R. Tolkien was born on January 3rd, 1892."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJ._R._R._Tolkien | birthDate | 1892-01-03", "doc_id": 361, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Polish | nationality | ethnicity | religion | ethnicity | religion | ethnicity | religion | ethnicity | religion | ethnicity | religion | ethnicity | religion | religion | ethnicity | religion | religion | ethnicity | religion | religion | ethnicity | religion | religion | ethnicity | religion | religion | ethnicity | religion | religion | ethnicity | religion | religion | religion | ethnicity | religion | religion | religion | ethnicity | religion | religion | religion | ethnicity | religion | religion | religion | ethnicity | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | religion | religion | religion | ethnicity | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion | religion", "target": ["Darinka Dentcheva, who was born on January 1, 1958 and was influenced by Andrzej Piotr Ruszczynski, is a United States Citizen. The area total of the United States is 9,833,520.", "Darinka Dentcheva was born on January 1, 1958 and is a citizen of the United States (total area 9833520000000). She developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva influenced by Andrzej Piotr Ruszczynski, is a United States citizen born on born January 1st, 1958. The total area of the United States is 9833520000000.0 km."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, United_States | areaTotal | 9833520000000.0, Darinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | birthDate | 1958-01-01", "doc_id": 1394, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(", "target": ["The Fellowship of the Ring and The Two Towers were books belonging to the fantasy literary genre published by George Allen & Unwin.", "George Allen & Unwin published the fantasy novel The Fellowship of the Ring, which was followed by its sequel The Two Towers.", "George Allen & Unwin published the fantasy, Fellowship of the Ring, followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers", "doc_id": 162, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_Stavropolis | apoapsis | 4,547_St", "target": ["1147 Stavropolis was discovered on June 11, 1929. It has the apoapsis of 418476000000.0 and a periapsis of 260855000000.0 with an epoch on 31 July 2016 (Julian Day 2457600.5). Its rotation period is equal to 20378.5.", "The asteroid 1147 Stavropolis was discovered on the 11th of June 1929 and has a rotation period of 20378.5. The apoapsis of 1147 Stavropolis is 418476000000.0 and the periapsis of 1147 Stavropolis is 260855000000. The 1147 Stavropolis epoch is 31 July 2016 (Julian Day 2457600.5).", "1147 Stavropolis is an asteroid, discovered on 11 June 1929. It has a rotation period of 20378.5 and a periapsis of 260855000000.0. The epoch of 1147 Stavropolis is 31 July 2016 (JD2457600.5) and the apoapsis is 418476000000.0 AU."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5)", "doc_id": 1719, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147 | region", "target": ["Lady Anne Monson was born in Darlington, England. Darlington is in the North East of England and has a grid reference of NZ289147.", "Lady Anne Monson was born in Darlington which is in the North East England region. NZ289147 is the OS grid reference for Darlington.", "Lady Anne Monson was born in the Kingdom of England in a town called Darlington. Darlington is located in North East of England and the OS grid reference is NZ289147."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Kingdom_of_England, Darlington | region | North_East_England, Lady_Anne_Monson | birthPlace | Darlington, Darlington | gridReference | NZ289147", "doc_id": 568, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Lis", "target": ["Liselotte Grschebina lived from May 2nd, 1908 to June 14th, 1994, when she died in Israel.", "Liselotte Grschebina was born on the 2nd of May, 1908 and died on the 14th of June, 1994, in Israel.", "Liselotte Grschebina was born on May 2, 1908 and died in Israel and died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1043, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | zip | country | city | state | zip | country | city | state | zip | country | city | state | zip | country | city | state | zip | country | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city", "target": ["The Mason School of Business (located in the United States) are the current tenants of Alan B Miller Hall. Its address is 101 Ukrop Way, located in Virginia.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located at 101 Ukrop Way in Virginia in the United States.", "The Alan B Miller Hall is located in the United States in the state of Virginia at the address of 101 Ukrop Way. The Mason School of Business is currently the tenant of the Alan B Miller Hall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Mason_School_of_Business | country | United_States", "doc_id": 774, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock_music, The_Velvet_Underground | genre | Rock", "target": ["The rock album \"Bootleg Series Volume 1: The Quine Tapes\" was produced by proto-punk band The Velvet Underground.", "The Bootleg Series Volume I: The Quine tapes is a rock album, by the proto-punk band, The Velvet Underground.", "Bootleg Series Volume 1: The Quine Tapes is a rock album that also fits into the proto-punk genre. It was produced by the Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, The_Velvet_Underground | genre | Proto-punk", "doc_id": 635, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPer", "target": ["The asteroid 1147 Stavropolis discovered on the 11th of June 1929 with a rotation period of 20378.5 has apoapsis of 418476000000.0.", "The 1147 Stavropolis that was discovered on June 11, 1929, has a rotation period of 20378.5 and an apoapsis of 418476000000.0.", "1147 Stavropolis is an asteroid, discovered on June 11, 1929, has an apoapsis of 418476000000.0 AU and a rotation period of 20378.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5", "doc_id": 903, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,", "target": ["The 11th Mississippi Infantry Monument, established in the year 2000, is located in the state of Pennsylvania, in a place called Adams County. Adams County, Pennsylvania has Carroll County, Maryland to its southeast and Cumberland county, Pennsylvania to its north. The monument is categorized as a Contributing Property.", "A monument to the 11th Mississippi Infantry was erected in 2000 in Adams County, Pennsylvania, which has Carroll County Maryland to the southeast and Pennsylvania's Cumberland County to the north. The monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument established in the year 2000 in Adams County, Pennsylvania falls under the category of Contributing property. Adams County, Pennsylvania has Cumberland County, Pennsylvania to its north and Carroll County, Maryland to its southeast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1212, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| son | daughter | mother | father | sister | brother | uncle | aunt | cousin | friend | neighbor | co-worker | boss | teacher | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student | student", "target": ["Tom Sizemore was married to Maeve Quinlan.", "Tom Sizemore is married to Maeve Quinlan.", "The spouse of Tom Sizemore is Maeve Quinlan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTom_Sizemore | spouse | Maeve_Quinlan", "doc_id": 575, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English| English", "target": ["George Monson was married to Lady Anne Monson, a botanist, who died on February 18, 1776.", "Lady Anne Monson, a professional botanist who was married to George Monson, died on February 18th, 1776.", "Lady Anne Monson is the spouse of George Monson. Her professional field of study was botany, and she died on 18 February 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | professionalField | Botany", "doc_id": 27, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 17", "target": ["Botanist Lady Anne Monson was born in Darlington in the Kingdom of England. She lived from January 1st, 1726 to February 18th, 1776.", "Lady Anne Monson was born in the Kingdom of England in Darlington on January 1, 1726 and died on February 18, 1776 after she worked in the field of Botany.", "Lady Anne Monson (born January 1, 1726, in Darlington, Kingdom of England) studied botany and died on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | professionalField | Botany, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 1205, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri, U.S.A.\nThe Quine_Tapes | recordedIn | St. Louis,_Missouri", "target": ["The location that the Bootleg Series Volume 1: The Quine Tapes was recorded in was St. Louis Missouri.", "Bootleg Series Volume 1: The Quine Tapes was recorded in St. Louis, Missouri.", "The Quine tapes were recorded in St. Louis, Missouri."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri", "doc_id": 1081, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| postcode | United_Kingdom, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Thurleigh | country | United_Kingdom, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Thurleigh | postalCode | MK44 | postcode | United_Kingdom, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed | Bedford_Autodrome, Thurleigh | cityServed |", "target": ["The Bedford Aerodrome is located in Thurleigh, postal code MK44, United Kingdom. The place served by the Bedford Aerodrome is the Bedford Autodrome.", "The Bedford Aerodrome is located in Thurleigh (which has the postal code MK44), in the United Kingdom. The Bedford Aerodrome serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Thurleigh | country | United_Kingdom, Bedford_Aerodrome | location | Thurleigh, Thurleigh | postalCode | MK44", "doc_id": 670, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA_New_Media | type | Media_company, GMA", "target": ["GMA New Media, Inc. is a media company located in the Philippines that makes web sites.", "GMA New Media is a media company located in the Philippines that offers World Wide Web services.", "GMA New Media, Inc, a media company that produces web services, is located in the Philippines."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | Philippines, GMA_New_Media | type | Media_company, GMA_New_Media | product | World_Wide_Web", "doc_id": 1097, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | cityServed, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | city", "target": ["The place served by the Bedford Aerodrome located in Thurleigh is the Bedford Autodrome.", "The Bedford Aerodrome, in Thurleigh, serves the Bedford Autodrome.", "Bedford Aerodrome serves the Bedford Autodrome and is located at Thurleigh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh", "doc_id": 1473, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | music Producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | music Producer | Anatole_de_Grunwald, English_Without_Tears | music Editor | Anatole_de_Grunwald, English_Without_Tears | music Editor | Anatole_de_Grunwald, English_Without_Tears | music Editor | Anatole", "target": ["The music for the movie \"English Without Tears\" was composed by Nicholas Brodszky, whereas the movie was edited by Alan Jaggs, produced and written by Anatole de Grunwald, while Bernard Knowles did the cinematography.", "Anatole de Grunwald wrote and produced English Without Tears which was edited by Alan Jaggs and had Bernard Knowles as the cinematographer. Nicholas Brodszky composed the music of the movie.", "The soundtrack for the film English Without Tears, written and produced by Anatole de Grunwald, was done by Nicholas Brodszky. Alan Jaggs was the film editor, and Bernard Knowles was the cinematographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 1378, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["Darinka Dentcheva was born in New Jersey which has a total population of 22,591.38.", "Darinka Dentcheva resides in New Jersey where the total area is 22,591 square kilometers.", "Darinka Dentcheva has a residence in the state of New Jersey which has a total area of 22,591.38 km^2."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | New_Jersey, New_Jersey | areaTotal | 22591.38", "doc_id": 396, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The_Velvet_Underground | The", "target": ["The Bootleg Series Volume I: The Quine Tapes is produced by The Velvet Underground.", "Bootleg Series Volume 1: The Quine Tapes was produced by The Velvet Underground.", "The producer of the album Bootleg Series Volume 1: The Quine Tapes was the Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground", "doc_id": 937, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Mexicans inhabit Mexico, where the currency is the peso. Bionico is a food found in Mexico that requires granola as one of its ingredients, and is a dessert like Sandesh.", "Sandesh is a confectionary dessert item, much like Bionico, which contains granola and is found in Mexico. Mexico uses the peso as its currency and is inhabited by Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | ingredient | Granola, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 1750, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | was given the status of \"TechnicalCampus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | was given the status of \"TechnicalCampus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | was given the status of \"TechnicalCampus\" by the All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | was given the status of \"TechnicalCampus\" by the All_India_Council_for_Technical", "target": ["The Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India. This institute, established in 2000 and directed by Dr. G. Prabhukumar, was given 'Technical Campus' status by the All India Council for Technical Education of Mumbai.", "The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, in India. The Institute was established in 2000 and the current director is Dr. G. P. Prabhukumar. The status of Technical Campus was given to the Institute by All India Council for Technical Education, which is located in Mumbai.", "Acharya Institute of Technology was given the Technical Campus status by the All India Council for Technical Education located in Mumbai. The director of Acharya Institute of Technology is Dr. G. P. Prabhukumar which was established in 2000 which is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1360, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | governmentType | Unitary_state | government", "target": ["The Kingdom of England used a unitary state form of government.", "The Kingdom of England was a unitary state."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKingdom_of_England | governmentType | Unitary_state", "doc_id": 146, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Michael_Rooker, Tom", "target": ["Super Capers is a film starring Michael Rooker and Tom Sizemore, who began his career in 1989. The language of the movie Super Capers is English, which is the spoken language in Great Britain.", "The movie Super Capers is an American film starring Tom Sizemore and Michael Rooker. The language in Great Britain is English and Sizemore started acting in 1989.", "Super Capers is an English film, a language spoken in Great Britain. The film stars Michael Rooker and Tom Sizemore, who started acting in 1989."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | language | English_language, English_language | spokenIn | Great_Britain, Super_Capers | starring | Michael_Rooker, Tom_Sizemore | activeYearsStartYear | 1989-01-01, Super_Capers | starring | Tom_Sizemore", "doc_id": 1093, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | eye color, Lady_Anne_Monson | hair color, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | bra size, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | bra cup size, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | bra cup size, Lady_Anne_Monson | height, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height, Lady_Anne_Monson | height, Lady_Anne_Monson | height, Lady_Anne_Monson | height", "target": ["Lady Anne Monson, born on January 1, 1726 in the Kingdom of England, studied botany.", "Lady Anne Monson, born January 1st, 1726, was a British woman who lived in England. Her professional field of study was botany.", "Lady Anne Monson, who was born on January 1, 1726 in England, was a professional botanist."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | professionalField | Botany", "doc_id": 301, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_Ayala | leaderTitle | Ayala, C.\nCiudad_", "target": ["Ciudad Ayala has a leader called the Governator.", "In Ciudad Ayala the leader is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | Governator", "doc_id": 1448, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01, Wharton_Tiers | birthDate | 1953-01-01,", "target": ["Wharton Tiers, born on January the 1st, 1953, is producing the album Turn Me On with the Honeymoon Killers.", "Wharton Tiers born on January, 1st 1953, and is the owner of The Honeymoon Killers which is the producer of the Turn Me On album.", "The American band, the Honeymoon Killers, self-produced its album, Turn Me On. Along with music producer Wharton Tiers, born January 1, 1953."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Wharton_Tiers | birthDate | 1953-01-01, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 738, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | industry | Mass_Media, GMA_New", "target": ["GMA New Media is a company in the mass media industry whose headquarters are located in the GMA Network Center.", "Inside GMA Network Center lies the mass media industry GMA New Media.", "GMA New Media is a mass media company in the GMA Network Center."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | industry | Mass_Media, GMA_New_Media | location | GMA_Network_Center", "doc_id": 266, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | director | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | producer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | music | Louis_Levy, It's_Great_to_Be_", "target": ["It's Great to be Young,a 1956 film starring Cecil Parker was composed by Louis Levy and written by Ted Willis.", "\u201cIt's Great to Be Young\u201d (1956) was written by Ted Willis and features music by Louis Levy. A main role in the movie was given to Cecil Parker.", "Louis Levy is the composer of the 1956 film It's Great to Be Young, which is written by Ted Willis and stars Cecil Parker."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 32, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor", "target": ["Super Capers is a 98-minute English-language movie that was edited by Stacy Katzman. It was written by Lionsgate and Roadside Attractions.", "Lionsgate and Roadside Attractions distributed English language movie Super Capers which was edited by Stacy Katzman and runs 98 minutes.", "Super Capers is a film distributed by Roadside Attractions and Lionsgate, with a running time of 98 minutes. Super Capers, which is an English-language film, was edited by Stacy Katzman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | language | English_language, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate", "doc_id": 1537, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man named Tom Simon, who was killed in a factory farm in Ohio. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of the farm. The film is a combination of interviews with the family, friends, and co-workers of Tom, as well as footage of", "target": ["Death on a Factory Farm was produced and directed by Tom Simon and Sarah Teale. The film runs for 83 minutes.", "\"Death on a Factory Farm\" is a film both directed and produced by Tom Simon and Sarah Teale. The film runs for 83 minutes.", "Tom Simon and Sarah Teale directed and produced the 83 minutes movie Death on a Factory Farm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 167, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", MotorSport_Vision | city | Longfield, MotorSport_Vision | city | runway | runway Length | 1095.0, Bedford_Aerodrome | location | Thurleigh, MotorSport_Vision | city | runway | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome | city | runway Length | 1095.0, Bedford_Aerodrome", "target": ["MotorSport Vision is based in the city of Longfield, Kent and operates The Bedford Aerodrome in Thurleigh, which has a runway length of 1095.", "MotorSport Vision is based in the city of Longfield and the city of Kent, UK. MotorSport Vision operates the Bedford Aerodrome, which is located in Thurleigh, and had a runway length of 1095.", "MotorSport Vision in Longfield, Kent, is the operating organisation for Bedford Aerodrome which is located in Thurleigh. The runway length of the Bedford Aerodrome is 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | city | Longfield, MotorSport_Vision | city | Kent, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | location | Thurleigh", "doc_id": 1315, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcrgermeister Karlsruhe | Oberb\u00fcr", "target": ["Karlsruhe's leader is Oberb\u00fcrgermeister.", "The leader of Karlsruhe is called the Oberb\u00fcrgermeister."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKarlsruhe | leaderTitle | Oberb\u00fcrgermeister", "doc_id": 1166, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music |", "target": ["Anatole de Grunwald produced and Harold French directed English Without Tears. The songs used in the movie were composed by Nicholas Brodszky, and Bernard Knowles was in charge of the cinematography.", "\"English Without Tears\u201d was a film directed by Harold French and produced by Anatole de Grunwald. Bernard Knowles was in charge of the movie\u2019s cinematography. The music throughout the film belongs to composer Nicholas Brodszky.", "English Without Tears was produced by Anatole de Grunwald and directed by Harold French. The music was composed by Nicholas Brodszky and the cinematographer was Bernard Knowles."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | director | Harold_French, English_Without_Tears | cinematography | Bernard_Knowles, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 730, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Age | Education | Religion | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity |", "target": ["Nurhan Atasoy was born in Turkey and at one time lived in Istanbul.", "Nurhan Atasoy was born in Turkey and maintains a residence in Istanbul.", "Nurhan Atasoy was born in Turkey and resides in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 446, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Darinka Dentcheva is resident of new Jersey which has an area of water that is 3.544.04 meters squared and citizen of the United States where the motto is \"In God We Trust\".", "Darinka Dentcheva has a residence and is a citizen of the United States, whose motto is \"In God We Trust,\" and has a residence in the state of New Jersey. New Jersey has an area of water that is 3, 544.04 km^2.", "The residence of Darinka Dentcheva, a citizen of the United States, is in New Jersey in the United States, whose motto is \"In God We Trust\". The total area of water in New Jersey is 3,544 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | New_Jersey, New_Jersey | areaOfWater | 3544040000.0, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | citizenship | United_States, United_States | motto | \"In God we trust\"", "doc_id": 206, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish", "target": ["Ankara is the capital of Turkey, whose official language is Turkish. Nurhan Atasoy is a citizen of turnkey who was born January 1, 1934. He has also won the State Award for Superior Achievement.", "Nurhan Atasoy, born on the date 1934-01-01, is a recipient of the State Award for Superior Achievement and is a citizen of Turkey, where the capital city is Ankara and the official language is Turkish."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | citizenship | Turkey, Turkey | capital | Ankara, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Turkey | officialLanguage | Turkish_language", "doc_id": 705, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | country | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city", "target": ["Bionico is a dessert that requires granola as an ingredient and is found in Guadalajara, Mexico, which is led by Silvano Aureoles Conejo. It can be purchased by Mexicans, people living in Mexico, with their local currency called the peso.", "The currency of Mexico, where the local people are called Mexicans, is the peso and the name of the leader of Mexico is Silvano Aureoles Conejo. Bionico is a dessert which can be found in Guadalajara there and granola is one of the ingredients of this food.", "The currency in Mexico is the Mexican peso and the leader of Mexico is called Silvano Aureoles Conejo. The people who live in Mexico are called Mexicans and a dessert served in the Guadalajara region there is Bionico, which is made using granola."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | ingredient | Granola, Bionico | country | Mexico", "doc_id": 1524, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico is a food found in Mexico served at the dessert course. A variation on dessert is cake.", "Bionico is a dish served for dessert found in Mexico. A variation on dessert is cake.", "Bionico is a dessert food found in Mexico. One type of dessert is cake."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Dessert | dishVariation | Cake, Bionico | country | Mexico", "doc_id": 1314, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense with 17000 members play in the Brazil Campeonato Brasileiro S\u00e9rie C league. Est\u00e1dio Municipal Coaracy da Mata Fonseca in located in Arapiraca and ground is Agremia\u00e7\u00e3o Sportiva Arapiraquense.", "Agremiacao Sportiva Arapiraquense's ground is the Estadio Municipal Coaracy da Mata Fonseca (located in Arapiraca) & the club has 17000 members.Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league in Brazil.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremiacao Sportiva Arapiraquense has 17000 members & play in the Campeonato Brasileiro S\u00e9rie C league from Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1627, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader", "target": ["Nurhan Atasoy resides in Istanbul in Turkey. Leaders like Recep Tayyip Erdo\u011fan and Binali Y\u0131ld\u0131r\u0131m are from Turkey.", "Nurhan Atasoy resides in Istanbul, Turkey, a country where Recep Tayyip Erdogan is one of the leaders along with Binali Yildirim.", "Nurhan Atasoy currently resides in Turkey but has a residence in Istanbul. The current leader of Turkey is Binali Yildirim but Recep Tayyip Erdogan has also been a leader of Turkey, too."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Turkey | leader | Recep_Tayyip_Erdo\u011fan, Turkey | leader | Binali_Y\u0131ld\u0131r\u0131m, Nurhan_Atasoy | residence | Turkey", "doc_id": 1143, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Year of No Light followed their album Nord with the album Live at Roadburn 2008.", "The Year of No Light album Nord was followed by Year of No Light's album Live at Roadburn 2008.", "Live at Roadburn 2008 was preceded by the album Nord."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album)", "doc_id": 1210, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Live_at_Roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn_2008 | live_at_roadburn", "target": ["Live at Roadburn 2008 by Year of No Light was produced by the Roadburn Festival.", "The Year of No Light album Live at Roadburn 2008 had been produced by Roadburn Festival.", "The Year of No Light album, Live at Roadburn 2008, was produced by Roadburn Festival."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLive_at_Roadburn_2008_(Year_of_No_Light_album) | producer | Roadburn_Festival", "doc_id": 1644, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay | screenplay", "target": ["It's Great to Be Young is a 1956 film directed by Cyril Frankel.", "The director of the movie It's Great to Be Young was Cyril Frankel.", "The director of the 1956 movie It's Great to Be Young is Cyril Frankel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 1595, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | city | Dijon | France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | city | Dijon | France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | city | Dijon | France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | city | Dijon | France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_B", "target": ["The University of Burgundy is located in the city of Dijon, has 27400 students, 16800 undergraduate students, 2900 staff members and 1299 doctoral students.", "The University of Burgundy, located in the city of Dijon, has a staff of 2900 members and an enrollment of 27400 students, 16800 of which are undergraduate students and 1299 which are doctoral students.", "The University of Burgundy which is located in the city of Dijon has 2900 staff members and 27400 students, 16,800 are undergraduate students and 1299 are doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | city | Dijon", "doc_id": 1605, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Email: liselotte_grschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Facebook: www.facebook.com/liselottegrschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Website: www.liselottegrschebina.com | Twitter: @liselottegrschebina | Instagram: @liselottegrschebina | Website: www.lisel", "target": ["Liselotte Grschebina was a professional photographer who was born in Karlsruhe, whose postal codes range from 76131 to 76229.", "Liselotte Grschebina was a photographer born in Karlsruhe. The postal code of Karlsruhe is 76131-76229.", "Liselotte Grschebina was a professional photographer born in Karlsruhe whose postal codes are 76131-76229."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | professionalField | Photographer, Karlsruhe | postalCode | 76131\u201376229", "doc_id": 1095, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Papiermark | German_Pap", "target": ["The currency of the German Empire is German Papiermark.", "The German Empire's currency is the German Papiermark.", "One of the currencies of the German Empire was the German Papiermark."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGerman_Empire | currency | German_Papiermark", "doc_id": 317, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| German_Empire, Liselotte_Grschebina | occupation | profession | education | hobbies | interests | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | religion | politics | religion | politics | religion | religion | politics", "target": ["Israeli national Liselotte Grschebina was born in the German Empire, which was founded on January 1, 1871, and later became a professional photographer.", "Photographer Liselotte Grschebina was born in the German Empire, founded on January 1, 1871. However, Grschebina is an Israeli national.", "Photographer Liselotte Grschebina was a photographer with Israeli nationality. However, she was born in the German Empire, founded on January 1, 1871."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, German_Empire | foundingDate | 1871-01-01, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 680, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", USA.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Darinka Dentcheva, who resides in New Jersey, is a graduate of Humboldt University.", "Darinka Dentcheva, a New Jersey resident, is a Humboldt University alma mater."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey", "doc_id": 491, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 48888000000.0, 1147_Stavropolis | apoapsis | 488000000.0, 1147_Stavropolis | apoapsis | 488000000.0, 1147_Stavropolis | apoapsis | 488000000.0, 1147_Stav", "target": ["1147 Stavropolis, discovered on June 11, 1929, has an apoapsis of 418476000000.0 AU and a periapsis of 260855000000.0.", "The asteroid 1147 Stavropolis was discovered on the 11th of June 1929 and has a apoapsis of 418476000000.0 and a periapsis of 260855000000.", "1147 Stavropolis which was discovered on June 11, 1929 has an apoapsis of 418476000000.0 and a periapsis of 260855000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 1056, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense's full name is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\" and they played in the Campeonato Brasileiro S\u00e9rie C league in the 2015 season from Brazil and Vila Nova Futebol Clube have been champions. The Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense located in Arapiraca.", "The full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense is (Agremia\u00e7\u00e3o Sportiva Arapiraquense) they played in the Campeonato Brasileiro S\u00e9rie C league is based in Brazil in 2015 and ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca. The Vila Nova Futebol Clube are the champions of Campeonato Brasileiro Serie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense is playing in the Brazilian Campeonato Brasileiro S\u00e9rie C league hoping to beat the previous champions the Vila Nova Futebol Clube. They also played there in the 2015 season; their ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1720, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | weight | age | education | occupation | hobbies | interests | favorite movies | favorite books | favorite TV shows | favorite music | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies", "target": ["Known for his contributions to the no-hair theorem, Brandon Carter was born on January 1st, 1942 in England.", "Brandon Carter (born on January 1, 1942 in England) is known for proving the no-hair theorem.", "Brandon Carter, born in England on January 1st, 1942, is known for the No-hair theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 1333, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and their ground is Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca. Their group is also known as \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\". Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league with Vila Nova Futebol Clube as the champion.", "The 17000 members club Agremia\u00e7\u00e3o Sportiva Arapiraquense has a full name of Agremia\u00e7\u00e3o Sportiva Arapiraquense and trains in the Est\u00e1dio Municipal Coaracy da Mata Fonseca ground in Arapiraca. They play in the Campeonato Brasileiro S\u00e9rie C league, which counts among previous champions the Vila Nova Futebol Clube."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1086, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",_Baron_Sainsbury_of_Turville | date of birth | date of death | date of marriage | date of death | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of birth | date of marriage | date of death | date of birth | date of marriage | date of death | date of marriage | date of birth | date of marriage | date of birth | date of marriage | date of death | date of marriage |", "target": ["The University of Cambridge is the alma mater of Brandon Carter, who was born in England. David Sainsbury, also known as the Baron Sainsbury of Turville, and Leszek Borysiewicz are respectively the chancellor and vice chancellor of the University of Cambridge.", "Brandon Carter whose birth place was England, graduated from the University of Cambridge with Leszek Borysiewicz as its current Chancellor. David Sainsbury also called as Baron Sainsbury of Turville was once a chancellor of the University of Cambridge.", "David Sainsbury (Baron Sainsbury of Turville) and Leszek Borysiewicz hold the positions of Chancellor and Vice Chancellor, respectively, at Englishman Brandon Carter's alma mater, the University of Cambridge."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | almaMater | University_of_Cambridge, University_of_Cambridge | chancellor | David_Sainsbury,_Baron_Sainsbury_of_Turville, Brandon_Carter | birthPlace | England, University_of_Cambridge | viceChancellor | Leszek_Borysiewicz", "doc_id": 1300, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | religion | ethnicity | height | weight | education | occupation | family | hobbies | interests | books | movies | music | travel | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music | art | books | movies | music |", "target": ["Liselotte Grschebina was an Israeli national born in Karlsruhe on May 2nd, 1908.", "Liselotte Grschebina was born in Karlsruhe May 2, 1908 and has Israeli nationality.", "Liselotte Grschebina is an Israeli national who was born in Karlsruhe on May 2nd, 1908."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | nationality | Israel", "doc_id": 855, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death_of_the_world | death", "target": ["Brandon Carter, whose alma mater is the University of Cambridge with Dennis William Sciama as his doctoral advisor, was born in England on January 1, 1942 and is known for the Doomsday argument.", "Brandon Carter was born in England on January 1, 1942. He is best known for his work with the Doomsday argument. Brandon Carter studied at the University of Cambridge where his doctoral advisor was Dennis William Sciama.", "Brandon Carter was born in England on January 1st, 1942. He graduated from the University of Cambridge, where Dennis William Sciama was his doctoral advisor. Carter is known for his Doomsday argument."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | knownFor | Doomsday_argument", "doc_id": 1330, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| directed by | George_C.\nThe film is about a young man who is trying to find his way in the world. He is a very successful businessman, but he is also a very lonely man. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also very lonely. He is very successful in business, but he is also", "target": ["Cecil Parker had a main role in It's Great to Be Young.", "Cecil Parker starred in the 1956 movie It's Great to Be Young.", "It's Great to be Young is a 1956 film starring Cecil Parker."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 79, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| weight | weight | height | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight | weight", "target": ["Aleksandr Prudnikov was born on February 24, 1989 and is 185 cm tall. He currently plays for FC Amkar Perm and also played for FC Terek Grozny, which is located in Grozny.", "Aleksandr Prudnikov, height 185 cm., born on 1989-02-24, and who plays for FC Amkar Perm, is in the FC Terek Grozny club the ground of which is based at Grozny.", "Aleksandr Prudnikov, 185 cm tall, whose date of birth is 1989-02-24 and whose current club is FC Amkar Perm, plays for FC Terek Grozny, the ground of which is based at Grozny."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | height | 185.0 (centimetres)", "doc_id": 164, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The SuperCapers | The SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime.\nThe SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime.\nThe SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime.\nThe SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime.\nThe SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime.\nThe SuperCapers are a group of four friends who are all super-powered. They are all very different, but they are all very good friends. They are also very good at fighting crime", "target": ["The film Super Capers starred Justin Whalin.", "The film Super Capers stars Justin Whalin.", "Super Capers starred Justin Whalin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Justin_Whalin", "doc_id": 969, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height", "target": ["Nie Haisheng from the People's Republic of China was part of the mission Shenzhou 10.", "Nie Haisheng from the People's Republic of China was part of Shenzhou 10 mission.", "Chinese national Nie Haisheng participated in the Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 520, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mexico.\nThe sentence is: isPartOf.\nThe sentence is: isCuernavaca, Mexico.\nThe sentence is: isPartOf.\nThe sentence is: isCuernavaca, Mexico.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is: isPartOf.\nThe sentence is:", "target": ["Cuernavaca is part of Morelos.", "Cuernavaca is a part of Morelos."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMorelos | isPartOf | Cuernavaca", "doc_id": 1752, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 11th_Mississippi_Infantry_Monument | location | Franklin_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania | 11th_Mississippi_Infantry", "target": ["Pennsylvania's Franklin County is found to the west of Adams County, where the 11th Mississippi Infantry Monument is located.", "To the East of Franklin County, Pennsylvania, you\u2019ll find Adams County which is where the 11th Mississippi Infantry monument is located.", "Adams county, to the east of Franklin county, is the home of the 11th Mississippi Infantry Monument in Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania", "doc_id": 474, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org, en.wikipedia.org", "target": ["Roadside Attractions and the public company Lionsgate distributed the English-language movie Super Capers with \"en\" as the ISO 639-1 code.", "The public company, Lionsgate, and Roadside Attractions distributed the movie \"Super Capers\". \"Super Capers\" is filmed in English, whose ISO 639-1 code is \"en\".", "Super Capers is an English movie that is distributed by Roadside Attractions and Lionsgate, which is a public company. The code for English is en in the ISO 639-1 standard."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Roadside_Attractions, Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate, Super_Capers | language | English_language, English_language | iso6391Code | en", "doc_id": 918, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense that have 17000 members play in the Campeonato Brasileiro S\u00e9rie C league where the champions are Vila Nova Futebol Clube. Their ground is the Estadio Municipal Coaracy da Mata Fonseca.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members, plays at the ground of Est\u00e1dio Municipal Coaracy da Mata Fonseca and plays in the Campeonato Brasileiro S\u00e9rie C league, which The Vila Nova Futebol Clube were champions of."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1353, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0 min.\nEnglish_Without_Tears | producer | Anatole_de_Grun", "target": ["Anatole de Grunwald was the producer of 'English Without Tears,' a film with a running time of 89 minutes.", "English Without Tears, which is 89 minutes long, was produced by Anatole de Grunwald.", "English Without Tears was produced by Anatole de Grunwald and has an 89 minute duration."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | runtime | 89.0", "doc_id": 841, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | culture | history | geography | economy | politics | society | art | literature | music | philosophy | science | technology | education | health | environment | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | transportation | communication | transportation | communication | transportation | transportation | communication | transportation | communication | transportation | communication | transportation | communication | transportation | transportation | communication | transportation | communication | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation | transportation | communication | transportation", "target": ["The religion of some Turkish people could be defined as irreligion.", "Some Turkish people are irreligious."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkish_people | religion | Irreligion", "doc_id": 660, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship", "target": ["Darinka Dentcheva (United States citizen) was born on January 1st, 1958. Mathematical optimization is her professional field.", "Darinka Dentcheva, a mathematician working in the field of mathematical optimization, is a U.S. citizen who was born on January 1, 1958.", "Darinka Dentcheva, a United States citizen, was born on January 1, 1958 and works in the mathematical optimization field."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization", "doc_id": 1241, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers |", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense, a league player in the Brazil-based Campeonato Brasileiro S\u00e9rie C league, which consists of 17000 members, competed in the 2015 Campeonato Brasileiro S\u00e9rie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and plays in the Campeonato Brasileiro S\u00e9rie C league that is from Brazil. They also played in that league in 2015.", "Agremiacao Sportiva Arapiraquense have 17000 members, played in the Campeonato Brasileiro S\u00e9rie C in 2015 and in the Campeonato Brasileiro S\u00e9rie C league which is based in Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 378, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media | Media", "target": ["GMA New Media lies in the Philippines where applications are offered in the entertainment industry.", "Located in the Philippines, GMA New Media is an entertainment industry.", "GMA New Media is an entertainment company located in the Philippines."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | Philippines, GMA_New_Media | industry | Entertainment", "doc_id": 25, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["Super Capers, starring Michael Rooker and Tom Sizemore, is a movie in English.", "Michael Rooker and Tom Sizemore star in the English-speaking movie Super Capers.", "Michael Rooker played in Super Capers, an English-language film starring Tom Sizemore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language", "doc_id": 1070, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_Perm | coach | FC_Spartak_Moscow, FC_Amkar_", "target": ["Born on 24th February 1989, Aleksandr Prudnikov trained with the youth football club FC Spartak, Moscow. He now plays for the FC Amkar Perm team, which is managed by Gadzhi Gadzhiyev.", "Aleksandr Prudnikov was born 02-24-1989, and currently plays for FC Amkar Perm, managed by Gadzhi Gadzhiyev. Aleksandr also played for FC Spartak Moscow's youth team.", "Aleksandr Prudnikov (born 1989-02-24) is a member of the youth side of FC Spartak Moscow. He plays for FC Amkar Perm with Gadzhi Gadzhiyev as manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev", "doc_id": 991, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Principle of the Anthropic Principle.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["Brandon Carter is well known for Anthropic principle theory.", "Brandon Carter is known for his work on the Anthropic Principle."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Anthropic_principle", "doc_id": 481, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Nie Haisheng was born in Zaoyang.", "The birth place of Nie Haisheng is Zaoyang ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang", "doc_id": 792, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | deathDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20 | filmComposer", "target": ["Louis Levy, who was born on November 20, 1894, is the music composer for the film \"It's Great to be Young.\"", "Born 20.11.1894, music composer, Louis Levy, grew up to compose \"It's Great to Be Young, a film that debuted in 1956.", "It's Great to Be Young's composer Louis Levy was born on 1894-11-20."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, Louis_Levy | birthDate | 1894-11-20", "doc_id": 1008, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07", "target": ["Published on July 29, 1954, The Fellowship of the Ring precedes The Two Towers.", "The Fellowship of the Ring, released on July 29, 1954, was followed by The Two Towers.", "The Fellowship of the Ring was released on July 29, 1954, and was followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 1684, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicCyril_Frankel", "target": ["The 1956 movie , It's Great to be Young, was edited by Max Benedict who later died in 1986. The director was Cyril Frankel and the music composer was Louis Levy.", "The film \"It\u2019s Great to Be Young\" was edited by Max Benedict, who died in 1986. The director of the 1958 film is Cyril Frankel, while the music was composed by Louis Levy.", "Great to Be Young is a 1956 film directed by Cyril Frankel, composed music by Louis Levy, and edited by Max Benedict, who died in 1986."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict, Max_Benedict | deathYear | 1986, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 650, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | death", "target": ["Cecil Parker, also known as Cecil Schwabe, starred in It\u2019s Great to Be Young alongside lead actor John Mills. The movie was released in 1956. Mills passed away in Denham, Buckinghamshire.", "Cecil Parker, also known as Cecil Schwabe at birth, starred in the 1956 film It's Great to be Young. John Mills died in Denham, Buckinghamshire, and he was a main actor in the movie as well.", "Born Cecil Schwabe, in 1956 Cecil Parker starred in the movie It's Great To Be Young. This movie also starred John Mills, who died in Denham, Buckinghamshire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, Cecil_Parker | birthName | Cecil Schwabe, It's_Great_to_Be_Young_(1956_film) | starring | John_Mills, John_Mills | deathPlace | Denham,_Buckinghamshire", "doc_id": 1669, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Born in Leningrad, a city in the USSR, Olga Bondareva studied to become an economist at Leningrad State University, and is one of the known professionals in the field of Mathematics.", "Olga Bondareva was born in Leningrad, USSR and was a student at Leningrad State University. Her professional field was in mathematics and economics.", "Olga Bondareva who was born in Leningrad, USSR, graduated from Leningrad State University, is working in the field of Mathematics and Economics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics", "doc_id": 606, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Lady Anne Monson died on February 18, 1776.", "Lady Anne Monson died on 1776-02-18.", "Lady Anne Monson died on February 18th, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 1496, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | editor | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_M_Gibbs, English_Without_Tears | music | John_", "target": ["English Without Tears is a film directed and edited by Alan Jaggs and Harold French. Anatole de Grunwald produced the movie while Nicholas Brodszky composed the film.", "The director, film editor, and producer of English Without Tears consists of Alan Jaggs, Anatole de Grunwald, and Harold French. Nicholas Brodszky composed all the songs in the film.", "English Without Tears is a movie edited, directed,and produced by Harold French, Anatole De Grunwald, and Alan Jaggs. The composer of the music is Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 231, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["It's Great to Be Young is a 1956 film by Gilbert Taylor's cinematography; it cost 282838 and starred John Mills.", "It's Great to Be Young is a 1956 film which received \u00a3282,838, with John Mills playing the lead and Gilbert Taylor as cinematographer.", "Gilbert Taylor was the cinematographer of the movie \"It's Great to Be Young\", which brought in 282,838 pounds at the box office. John Mills had a main role in the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0", "doc_id": 750, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that I will use to represent the sentence.\nI will show the representation and then the natural language.\nThe following is a list of the words that", "target": ["Turkey is formally known as \"Republic of Turkey\".", "The long name of the country of Turkey is \"Republic of Turkey\".", "The full name of Turkey is the \"Republic of Turkey\""], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | longName | \"Republic of Turkey\"", "doc_id": 1261, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 1,000 mm.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the", "target": ["The ALCO RS-3 was produced between May 1950 and August 1956 has has a cylinder count of 12 and is 17068.8 millimetres in length.", "The ALCO RS-3, produced between May 1950 and August 1956 with 12 cylinders, has a length of 17068.8 millimetres.", "The ALCO RS-3 produced between May 1950 and August 1956 with 12 cylinders has a length of 17068.8 millimetres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 187, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship", "target": ["Darinka Dentcheva worked in the field of mathematical optimization and was influenced by Andrzej Piotr Ruszczynski. She was born on January 1st 1989 and is a citizen of the United States.", "Darinka Dentcheva a United States citizen (born on January 1, 1958) developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski. She worked as a mathematician in the field of mathematical optimization.", "Darinka Dentcheva, born on January 1, 1958, is a professional in the field of mathematical optimization. She is a US citizen and was influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization", "doc_id": 1276, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common", "target": ["A leader of Mexico is called the President of the Chamber of Deputies.", "Mexico's government has a leader position titled the President of the Chamber of Deputies.", "President of the Chamber of Deputies is a leader title in Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | leaderTitle | \"President of the Chamber of Deputies\"", "doc_id": 1766, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathYear | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight |", "target": ["Super Capers starred Adam West, who was born in the year 1928.", "Super Capers is a film starring Adam West who was born in 1928.", "Adam West, who was born in the year 1928, had a main role in the movie Super Capers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Adam_West, Adam_West | birthYear | 1928", "doc_id": 1652, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants |", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall, which is currently owned by the College of William and Mary and which was designed by Robert A.M. Stern and completed June 1, 2009.", "The Mason School of business occupies the Alan B Miller at the college of William and Mary. The hall, which was designed by Robert A M Stern, was completed on June 1 2009.", "Owned by The College of William and Mary and completed on June 1, 2009 by architect Robert A.M. Stern, the Alan B. Miller Hall currently houses the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 423, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin, Dublin", "target": ["Trane, the building materials producer, was founded on 01-01-1913 in Swords, Dublin, which is part of Leinster.", "Trane, located in Swords, Dublin, Leinster, is a company in the building materials industry, founded on 1913-01-01.", "Trane, a building materials company founded on January 1, 1913, is located in Swords, Dublin, a part of Leinster."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | foundingDate | 1913-01-01, Trane | industry | Building_materials, Trane | location | Swords,_Dublin, Swords,_Dublin | isPartOf | Leinster", "doc_id": 1213, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought. A sentence is a group", "target": ["Terence Rattigan died on the 30th of November in the year 1977.", "Terence Rattigan died on November 30th 1977.", "Terence Rattigan died in 30/11/1977."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTerence_Rattigan | deathDate | 1977-11-30", "doc_id": 1688, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England | University of Cambridge, England", "target": ["Brandon Carter was born in England on January 1, 1942. He graduated from the University of Cambridge and the chancellor of the University was known as David Sainsbury. The doctoral advisor of Brandon Carter while he was at the University was Dennis William Sciama.", "Brandon Carter was born on January 1, 1942 in England. Brandon graduated from the University of Cambridge, whose chancellor is David Sainsbury (Baron Sainsbury of Turville) and his doctoral advisor was Dennis William Sciama.", "Brandon Carter was born in England on January 1st, 1942. Brandon's doctoral studies at the University of Cambridge were advised by Dennis William Sciama. The chancellor of the University of Cambridge is David Sainsbury, Baron Sainsbury of Turville."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | almaMater | University_of_Cambridge, University_of_Cambridge | chancellor | David_Sainsbury,_Baron_Sainsbury_of_Turville, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01, Brandon_Carter | birthPlace | England", "doc_id": 1021, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fon", "target": ["Agremiacao Sportiva Arapiraquense play in the Campeonato Brasileiro Serie C league based in Brazil in 2015. Their ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca located in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the 2015 season and in the Campeonato Brasileiro S\u00e9rie C league from Brazil.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca, in Arapiraca, is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense, which is a team that play in the Campeonato Brasileiro S\u00e9rie C league in Brazil. The team played in the 2015 season."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1730, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor | actor", "target": ["Cyril Frankel, a television director, directed the 1956 movie It's Great to Be Young.", "The television director Cyril Frankel directed the 1956 film It\u2019s Great to Be Young.", "The movie It's Great to Be Young was directed by Cyril Frankel, who is a television director."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, Cyril_Frankel | occupation | Television_director", "doc_id": 1167, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocation", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF. The aerodrome is in Thurleigh and is operated by MotorSport Vision.", "Bedford Aerodrome is located in Thurleigh and is operated by MotorSport vision. The ICAO location identifier for the Bedford Aerodrome is EGBF .", "Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF. The MotorSport Vision is the operating organisation of the aerodrome, which is situated in Thurleigh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 542, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of St. Petersburg, Russia.\nThe problem of the representation of a sentence in natural language is a very interesting one. The problem is that the representation of a sentence in natural language is not a sentence in the strict sense of the word. The sentence is a set of words that are used to express a certain idea. The idea is expressed by the words in the sentence. The idea is not expressed by the words in the sentence. The idea is expressed by the sentence. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The sentence is a representation of the idea. The", "target": ["Olga Bondareva was a student at Leningrad State University.", "Olga Bondareva's alma mater is Leningrad State University.", "Olga Bondareva graduated from Leningrad State University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 1184, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | profession, Lady_Anne_Monson | occupation, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson", "target": ["Lady Anne Monson, an English national, resided in India with spouse George Monson. With Botany as her professional field, she died on 1776-02-18.", "Lady Anne Monson (died February 18, 1776), the spouse of George Monson, studied the professional field of botany and lived in the Kingdom of England and held British nationality, though she resided in India for most of her life.", "Lady Anne Monson (died on February 18, 1776), was nationalized English and a resident of India. Her professional study was botany. She was married to George Monson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | professionalField | Botany", "doc_id": 213, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Duration, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_Miracle | runtime, Expect_a_", "target": ["Expect a Miracle was produced by Brian Kelly - a composer & pianist,-. has runtime is 54.56, and s a compilation album.The Brian Kelly album Expect a Miracle was preceded by the album Pools of Light & followed by Brian Kelly's Afterplay album.", "Expect A Miracle, a compilation album recorded and produced by the artist, Brian Kelly, has a runtime of 54:56. This album was preceded by the Brian Kelly album, Pools of Light. Expect A Miracle was follow by the album, Afterplay.", "The compilation album Expect a Miracle was authored and produced by Brian Kelly and preceded by his album Pools of Light. The album has a runtime of 54.56 minutes and Kelly followed it up with the album Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 1455, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Age | Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date of Birth | Date of Death | Date", "target": ["\"It's great to Be Young\" was written by the musical composer, Louis Levy, a native of England.", "Louis Levy, who was born in England, is the music composer of It's Great to Be Young (1956 film).", "It's Great to Be Young features music by Louis Levy, who was born in England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, Louis_Levy | birthPlace | England", "doc_id": 1427, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Black_metal, Aaron_Turner | genre |", "target": ["Aaron Turner is a black metal musician in the Lotus Eaters who plays electric guitar.", "Aaron Turner is a black metal musician who plays electric guitar in the Lotus Eaters.", "Aaron Turner plays the electric guitar in the Black Metal band, Lotus Eaters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | genre | Black_metal, Aaron_Turner | instrument | Electric_guitar", "doc_id": 161, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\u00b0F | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The Bedford Aerodrome is 83.2 meters above sea level.", "Bedford Aerodrome is at an elevation of 83.2104 above sea level.", "The Bedford Aerodrome elevation above the sea level is 83.2104 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 1077, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson, Michael Jackson,", "target": ["The Train song Mermaid was written by Espen Lind and Stargate, Michael Jackson's production team who is associated with the musical artist Benny Blanco.", "The song Mermaid, which was released by the band Train, was written by Espen Lind and produced by the Stargate production team who are also associated with musical artists Michael Jackson and Benny Blanco.", "The Train song Mermaid was written by the production team Stargate and Espen Lind. The music production team Stargate has worked with artists such as Benny Blanco and Michael Jackson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Espen_Lind, Stargate_(production_team) | associatedBand/associatedMusicalArtist | Benny_Blanco, Mermaid_(Train_song) | writer | Stargate_(production_team), Stargate_(production_team) | associatedBand/associatedMusicalArtist | Michael_Jackson", "doc_id": 846, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Spain | latitude and longitude | longitude: -1.9333\u00b0N | longitude: -1.9333\u00b0E | altitude: -1.9333\u00b0E | map | timezone: GMT -4 hours | date: GMT -4 hours.", "target": ["Adolfo Suarez Madrid-Barajas Airport in Madrid, which is operated by ENAIRE, has an elevation of 610.0 metres above sea level.", "ENAIRE is the operating organisation for Adolfo Suarez Madrid-Barajas airport. This Madrid airport is situated 610 meters above sea level.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport, located in Madrid, is operated by ENAIRE and has an elevation of 610.0 meters above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Madrid", "doc_id": 1383, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | producer | Brian_Kelly_(composer_&_pianist", "target": ["Expect a Miracle, a compilation album by Brian Kelly with runtime of 54.56 minutes is of instrumental music genre. Produced by Brian Kelly Expect a Miracle was preceded by Pools of Light by Brian Kelly.", "The compilation album Expect a Miracle was both recorded and produced by artist Brian Kelly. The album, which is preceded by Kelly's offering Pools of Light, features instrumental music and runs for 54:56.", "The compilation album Expect a Miracle, which is in the instrumental genre, was authored and produced by composer and pianist Brian Kelly and preceded by his album Pools of Light. The album has a runtime of 54.56 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 234, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album", "target": ["The album Turn Me On (produced by American band the Honeymoon Killers) is 35 minutes 10 seconds long.", "The American band, the Honeymoon Killers, self-produced its album called Turn Me On, which has a run time of 35.1 minutes.", "The Honeymoon Killers' album Turn Me On runs 35.1 minutes. The Honeymoon Killers also produced the album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 748, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\u00b0F | latitudeNortheast, N.E.\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104\u00b0F | latitudeNortheast, N.E.\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104\u00b0F | latitudeNortheast, N.E.\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104\u00b0F | latitudeNortheast, N.E.\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104\u00b0F | latitudeNortheast, N.E.\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104\u00b0F | latitudeNortheast, N.", "target": ["Bedford Aerodrome has served the Bedford Autodrome, and it is 83.2 meters above sea level.", "The Bedford Aerodrome serves the Bedford Autodrome and has an elevation above the sea level at 83.2104 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 1036, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stadium | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "target": ["Estadio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremiacao Sportiva Arapiraquense, who plays in the Campeonato Brasileiro Serie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense from Campeonato Brasileiro S\u00e9rie C league okay in Estadio Municipal Coaracy da Mata Fonseca.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, who play at Est\u00e1dio Municipal Coaracy da Mata Fonseca, are in the Campeonato Brasileiro S\u00e9rie C league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 821, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | editor | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | editor | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_born_1878) | director | Harry_Carey_(actor_born_1878) | producer | Harry_Carey_(actor_", "target": ["Born in 1878, Harry Carey later grew up to write and star in the movie McVeagh of the South Seas.", "Harry Carey, born in 1878, wrote and appeared in the movie McVeagh of the South Seas.", "Harry Carey, who was born in 1878, wrote and starred the film of McVeagh of the South Seas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 39, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation", "target": ["1147 Stavropolis, discovered by Grigory Neujmin, has an absolute magnitude of 11.5.", "Grigory Neujmin found 1147 Stavropolis, which has an absolute magnitude of 11.5.", "Grigory Neujmin discovered 1147 Stavropolis, which has an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 1079, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 12th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_Maryland, 13th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_Maryland, 14th_Mississippi_Infantry_Monument | category | \"United States\"\n15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_", "target": ["The 11th Mississippi Infantry Monument's location, which falls under the category of Contributing property, is Adams County, Pennsylvania in the USA. To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland.", "Adams County, Pennsylvania, USA has Carroll County, Maryland to its southeast and is the location of the 11th Mississippi Infantry Monument which is categorized as a Contributing Property.", "Carroll County Maryland is southeast of Adams County Pennsylvania, USA where the The 11th Mississippi Infantry Monument is situated. The 11th Mississippi Infantry Monument is categorised as a contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 324, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes", "target": ["Bootleg Series Volume 1: The Quine Tapes was recorded in St. Louis, Missouri, United States and has a runtime of 230.05 minutes. It was preceded by the Velvet Underground's Squeeze.", "The Bootleg Series Volume I: The Quine Tapes was recorded in St. Louis, Missouri, United States and has a runtime of 230.05 minutes. It was preceded by the Velvet Underground's Squeeze.", "Album The Bootleg Series Volume I: The Quine Tapes has a runtime of 230.05 minutes and was recorded in St. Louis Missouri, USA. This album was preceded by the album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album)", "doc_id": 1583, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album", "target": ["The sludge metal and post metal album Nord was produced and created by the artist Year of No Light and was released by the record label Crucial blast on 06-09-2006. It was followed by the album Live at Roadburn 2008.", "The Year of No Light self produced album Nord, a sludge and post-metal genre was released on September 6, 2006. Its record label is Crucial Blast and was followed by Live at Roadburn 2008.", "The self-produced Year of No Light post metal and sludge metal album Nord was released on 2006-09-06 and was followed by the album Live at Roadburn 2008. Nord was released on the Crucial Blast record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 81, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | product | Mobile_Applications, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | Mobile_Applications", "target": ["GMA New Media, which is located in the GMA Network Center, makes mobile apps.", "GMA New Media is a company located inside GMA Network Center that offers products such as mobile applications.", "GMA New Media makes mobile applications. Their headquarters are located in the GMA Network Center."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | product | Mobile_Applications, GMA_New_Media | location | GMA_Network_Center", "doc_id": 653, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of", "target": ["B. M. Reddy is the president of The Acharya Institute of Technology, which is affiliated with Visvesvaraya Technological University and located in India at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The President of Acharya Institute of Technology is B. M. Reddy and it is affiliated with the Visvesvaraya Technological University. Its address is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India.", "B.M. Reddy is president of the Acharya Institute of Technology, the campus of which is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore, India \u2013 560090 and is affiliated to Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | president | \"B.M. Reddy\", Acharya_Institute_of_Technology | country | \"India\"", "doc_id": 386, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | deathDate | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27 | death", "target": ["Olga Bondareva, known for Bondareva-Shapley theorem, was born on April 27, 1937.", "Olga Bondareva was born on April 27, 1937 is most known for the Bondareva-Shapley theorem.", "Olga Bondareva, born April 27, 1937, is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthDate | 1937-04-27", "doc_id": 1027, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | altarpiece | alt", "target": ["Altar of Plagues is a band associated with Year of No Light which produced the album Nord.", "Nord is an album produced by Year of No Light, which is also associated with Altar of Plagues.", "Album produced by the band called Year of No Light. It's called Nord. Another, Altar of Plagues, is also associated with the band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Year_of_No_Light | associatedBand/associatedMusicalArtist | Altar_of_Plagues", "doc_id": 1019, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| email | phone | website | twitter | facebook | google+ | youtube | instagram | vimeo | blog | google+ | youtube | instagram | vimeo | blog | google+ | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | youtube | instagram | vimeo | blog | google+ | youtube | youtube | youtube | youtube |", "target": ["The College of William and Mary is the owner of the Alan B. Miller Hall, located at 101 Ukrop Way in Virginia.", "Alan B. Miller Hall is on 101 Ukrop way (in Virginia) and owned by the College of William and Mary.", "Alan B. Miller Hall, which is located at 101 Ukrop Way, Virginia, is owned by the College of William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1677, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Est\u00e1dio Municipal Coaracy da Mata Fonseca is located in Arapiraca. It is the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense who play in the Campeonato Brasileiro S\u00e9rie C league and have 17000 members. The full name of the club is \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and is playing in the Campeonato Brasileiro S\u00e9rie C league. Their ground is the Est\u00e1dio Municipal Coaracy da Mata Fonseca located in Arapiraca.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, which is the team\u2019s full name, play in the Campeonato Brasileiro S\u00e9rie C league and has 17000 members. The team\u2019s home ground, Est\u00e1dio Municipal Coaracy da Mata Fonseca, is in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 236, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| @Ray_Griggs on Twitter.", "target": ["Super Capers was written by the director Ray Griggs.", "Super Capers is a film written by Ray Griggs.", "Super Capers was written by Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | writer | Ray_Griggs_(director)", "doc_id": 787, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Science, Data Mining, Knowledge Discovery, Data Mining, Knowledge Representation, Knowledge Discovery, Knowledge Representation, Knowledge Discovery, Knowledge Representation, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery, Knowledge Discovery", "target": ["Olga Bondareva's professional field is mathematics.", "Olga Bondareva is one of the known professionals in the field of Mathematics.", "Olga Bondareva works in the field of Mathematics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | professionalField | Mathematics", "doc_id": 442, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| band | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review | album | song | video | review", "target": ["Nord is an album by Year of No Light in the sludge metal genre.", "The genre of the album Nord is sludge metal.", "The Year of No Light album Nord is in the sludge metal genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal", "doc_id": 923, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["1147 Stavropolis (discovered 11 June 1929) is an asteroid with an orbital period of 1249.6 and absolute magnitude of 11.5. The periapsis of this asteroid is 260855000000.0 and the epoch date is 31 July 2016 (JD2457600.5).", "The orbital period of the asteroid 1147 Stavropolis, discovered on June 11, 1929, is 1249.6 days. 1147 Stavropolis has an absolute magnitude of 11.5 and has a periapsis of 260855000000.0. Each 1147 Stavropolis epoch is 31 July 2016 (Julian Day 2457600.5).", "The asteroid 1147 Stavropolis discovered on 11th of June 1929 with epoch as 31 July 2016 (Julian Day 2457600.5) and periapsis of 260855000000 has an absolute magnitude of 11.5. The orbital period of this asteroid is 1249.6 days."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5)", "doc_id": 553, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common", "target": ["Manila, which is led by City Council, is Chinabank's founding place.", "Chinabank was founded in Manila, which is governed by the City Council.", "Chinabank was founded in Manila, which is ruled by the City Council."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | foundationPlace | Manila, Manila | leaderTitle | \"City Council\"", "doc_id": 1379, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["The Nord album was preceded by the Demo 2004 album.", "The Year of No Light album Nord was preceded by Year of No Light's album Demo 2004.", "The Year of No Light album Nord was preceded by the album Demo 2004."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album)", "doc_id": 1718, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing, Aaron_Turner | instrument | Singing", "target": ["Aaron Turner started performing in 1995 and is a singer in the Lotus Eaters band, which plays post-metal music.", "Aaron Turner started performing in 1995 and is a singer of the musical genre post metal in the Lotus Eaters band.", "Aaron Turner is a post-metal singer who started performing in 1995 and is a musician in the Lotus Eaters band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | instrument | Singing, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1646, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy", "target": ["Steve Bright created Bananaman which was broadcast by the BBC who are based at Broadcasting House London.", "Bananaman the TV series was created by Steve Bright was shown on the BBC headquarters called Broadcasting House.", "The creator of Bananaman, broadcasted by BBC, is Steve Bright. Broadcasting House is the home of the BBC based in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC", "doc_id": 1633, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India.", "target": ["Bangalore\u2018s Acharya Institute of Technology (affiliated with Visvesvaraya Technological University) has a tennis program.", "Tennis is offered at the Bangalore-based Acharya Institute of Technology, a college affiliated with Visvesvaraya Technological University.", "The Acharya Institute of Technology in Bangalore, is affiliated with the Visvesvaraya Technological University and offers tennis as a sport option."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | sportsOffered | Tennis, Acharya_Institute_of_Technology | city | Bangalore", "doc_id": 297, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The number of students in a university is the number of students who are enrolled in a university at any given time.\"\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is the number of students who are enrolled in a university at any given time.\nThe number of students in a university is", "target": ["There are 27400 students at the University of Burgundy.", "The number of students in the University of Burgundy is 27400.", "The University of Burgundy has 27400 students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfStudents | 27400", "doc_id": 303, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator | Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 16", "target": ["Ciudad Ayala, which sports a population density of 1604.0, is led by a governator.", "The population density in Ciudad Ayala is 1604, and it has a leader called the Governator.", "Ciudad Ayala, which has a population density of 1604, is led by a governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator", "doc_id": 921, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of", "target": ["Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology which is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090 in India and is affiliated with Visvesvaraya Technological University.", "The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India. Its director is Dr.G.P. Prabhukumar and it is affiliated to Visvesvaraya Technological University.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India and it is affiliated with the Visvesvaraya Technological University. Its director is Dr.G.P.Prabhukumar."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"", "doc_id": 18, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ltd.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien. It is the first of a trilogy of novels, the second of which is The Hobbit. The Fellowship of the Ring was published in 1937.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien. It is the first of a trilogy of novels, the second of which is The Hobbit. The Fellowship of the Ring was published in 1937.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien. It is the first of a trilogy of novels, the second of which is The Hobbit. The Fellowship of the Ring was published in 1937.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien. It is the first of a trilogy of novels, the second of which is The Hobbit. The Fellowship of the Ring was published in 1937.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien. It is the first of a trilogy of novels, the second of which is The Hobbit. The Fellowship of the Ring was published in 1937.\nThe Fellowship of the Ring is a novel by J. R. R. Tolkien", "target": ["George Allen & Unwin published the Fellowship of the Ring.", "George Allen & Unwin published The Fellowship of the Ring."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin", "doc_id": 1178, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| President | \"The United States of America\"\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe", "target": ["United States is home to Darinka Dentcheva, where the Vice President is a title of one of its leaders.", "Darinka Dentcheva currently lives in the United States where one of the leaders of the country is the Vice President.", "One of the leaders of the United States, where Darinka Dentcheva resides, is the Vice President."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | leaderTitle | \"Vice President\", Darinka_Dentcheva | residence | United_States", "doc_id": 147, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nPiotr_Hallmann | height | 175.26\"", "target": ["Piotr Hallmann was born in Gdynia, Poland, which is in Central European summer time. He is 175.26 cm. tall.", "175.26 cm tall Piotr Hallmann is from the town of Gdynia in Poland. This town follows the Central European Summertime timezone.", "Piotr Hallmann was born in Gdynia, Poland, whose time zone is Central European Summer Time. Hallmann\u2019s height is 175.26 cm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthPlace | Gdynia,_Poland, Gdynia,_Poland | timeZone | Central_European_Time, Gdynia,_Poland | timeZone | Central_European_Summer_Time, Piotr_Hallmann | height | 175.26", "doc_id": 1209, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality, Darinka_Dentcheva | religion, Darinka_Dentcheva | education, Darinka_Dentcheva | occupation, Darinka_Dentcheva | hobbies, Darinka_Dentcheva | interests, Darinka_Dentcheva | favorite things, Darinka_Dentcheva | favorite books, Darinka_Dentcheva | favorite movies, Darinka_Dentcheva | favorite music, Darinka_Dentcheva | favorite sports, Darinka_Dentcheva | favorite TV shows, Darinka_Dentcheva | favorite websites, Darinka_Dentcheva | favorite quotes, Darinka_Dentcheva | favorite sayings, Darinka_Dentcheva | favorite poems, Darinka_Dentcheva | favorite songs, Darinka_Dentcheva | favorite food, Darinka_Dentcheva | favorite drinks, Darinka_Dentcheva | favorite desserts, Darinka_Dentcheva | favorite drinks, Darinka_Dentcheva | favorite music, Darinka_Dentcheva | favorite books, Darinka_Dentcheva |", "target": ["Darinka Dentcheva, born on January 1st,1958, is a US citizen.", "Darinka Dentcheva, a United States citizen, was born on January 1, 1958.", "Darinka Dentcheva, born January 1, 1958, is a United states Citizen."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01", "doc_id": 1506, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| John_Mills | Mary_Hayley_Bell | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_Mills | John_", "target": ["John Mills is the spouse of Mary Hayley Bell.", "John Mills is Mary Hayley Bell's spouse.", "John Mills was married to Mary Hayley Bell."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | spouse | Mary_Hayley_Bell", "doc_id": 1490, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC,", "target": ["Alan Shepard was born November 18th, 1923 in New Hampshire and his nationality is United States. Shepard graduated from NWC with an M.A. in 1957 and was awarded the Distinguished Service Medal by The United States Navy.", "Alan Shepard, an American, was born on Nov. 18, 1923 in New Hampshire. Shepard went to school at NWC and graduated with an MA in 1957 and was also awarded the Distinguished Service Medal in the United States Navy.", "Alan Shepard was born on November 18, 1923 in New Hampshire and his nationality was the United States. Shepard graduated from NWC in 1957 with an M.A. and was awarded the Distinguished Service Medal by the United States Navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1005, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All rights reserved.", "target": ["MotorSport Vision was founded in the year 2004.", "Motorsport vision was founded in 2004."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMotorSport_Vision | foundingYear | 2004", "doc_id": 1488, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cinematographer | editor | music | sound | production designer | art director | set decorator | set designer | costume designer | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | production designer | set decorator | set decorator | set decorator | production designer | set decorator | set decorator | production designer", "target": ["English Without Tears is a film directed by Harold French.", "Harold French was the director of the film English Without Tears.", "Harold French directed English without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | director | Harold_French", "doc_id": 1374, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| height | 1.5 metres | weight | 1,000 kg.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in French.\nThe following is a list of the most common words in German.\nThe following is a list of the most common words in Italian.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in Polish.\nThe following is a list of the most common words in Swedish.\nThe following is a list of the most common words in Danish.\nThe following is a list of the most common words in Finnish.\nThe following is a list of the most common words in Norwegian.\nThe following is a list of the most common words in Swedish.\nThe following is a list of the most common words in Norwegian.\nThe following is a list of the most common words in Danish.\nThe following is a list of the most common words in Finnish.\nThe following is a list of the most common words", "target": ["The ALCO RS-3 was produced between May 1950 and August 1956 and built by the Montreal Locomotive Works. The ALCO RS-3 has 12 cylinders and is 17068.8 millimetres in length.", "The ALCO RS-3 was produced between May 1950 and August 1956 and was built by Montreal Locomotive Works. The ALCO RS-3 has a cylinder count of 12 and is 17068.8 millimetres in length.", "The ALCO RS-3 was produced between May 1950 and August 1956 and was built by Montreal Locomotive Works. The locomotive has a cylinder count of 12 and is 17068.8 millimetres in length."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | builder | Montreal_Locomotive_Works, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 348, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5) | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD", "target": ["With a periapsis of 260855000000.0, the 1147 Stavropolis has a epoch of 31 July 2016 (JD2457600.5).", "1147 Stavropolis epoch is 31 July 2016 (Julian Day 2457600.5) and the periapsis of 1147 Stavropolis is 260855000000.", "1147 Stavropolis has an epoch on 31 July 2016 and a periapsis of 260855000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | epoch | 31 July 2016 (JD2457600.5)", "doc_id": 44, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_Hobbit | The_H", "target": ["George Allen & Unwin published The Fellowship of the Ring, and it was released on July 29, 1954. The Fellowship of the Ring was written by J.R.R. Tolkien and was preceded by the Hobbit.", "The author of the Fellowship of the Ring is J.R.R. Tolkien, and it was published by George Allen & Unwin on July 29, 1954. The Hobbit came before it.", "The Fellowship of the Ring was written by J.R.R. Tolkien, published by George Allen & Unwin, and premiered on July 29, 1954, following The Hobbit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 927, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, United Kingdom.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the", "target": ["MotorSport Vision, founded in 2004 by Jonathan Palmer, operates the Bedford Aerodrome in Thurleigh.", "Bedford Aerodrome, located in Thurleigh, is operated by MotorSport Vision. MotorSport Vision was founded in 2004 by Jonathan Palmer.", "Founded in 2004 by Jonathan Palmer, MotorSport Vision is the operating organisation for the Thurleigh based Bedford Aerodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, MotorSport_Vision | foundedBy | Jonathan_Palmer, MotorSport_Vision | foundingYear | 2004, Bedford_Aerodrome | location | Thurleigh", "doc_id": 1040, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrger", "target": ["Liselotte Grschebina was born in Karlsruhe which is known for having Oberb\u00fcrgermeister as a leader.", "Liselotte Grschebina was born in Karlsruhe, which has Oberb\u00fcrgermeister as its leader.", "Karlsruhe, the birthplace of Liselotte Grschebina, has a leader named Oberburgermeister."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Karlsruhe | leaderTitle | Oberb\u00fcrgermeister", "doc_id": 250, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Istanbul, Turkey.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Nurhan Atasoy was born in Re\u015fadiye.", "Resadiye is the birth place of Nurhan Atasoy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye", "doc_id": 1120, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of Gdynia, Poland | \"The city of Gdynia is a city of culture, a city of science, a city of sport, a city of tourism, a city of education, a city of culture, a city of science, a city of sport, a city of tourism, a city of education, a city of education, a city of sport, a city of tourism, a city of tourism, a city of education, a city of sport, a city of education, a city of sport, a city of sport, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of tourism, a city of", "target": ["The leader of Gdynia, Poland is called the Mayor.", "Gdynia is the city in Poland under the leadership of Mayor.", "One of the leaders of Gdynia, Poland is the Mayor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGdynia,_Poland | leaderTitle | Mayor", "doc_id": 115, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_", "target": ["The Acharya Institute of Technology was established in 2000, is affiliated to Visvesvaraya Technological University and was given the Technical Campus status by the All India Council for Technical Education which is located in Mumbai. The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "The Acharya Institute of Technology was established in 2000 and is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute 'Technical Campus' status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology was established in 2000 and is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | established | 2000, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 401, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | music | movies | TV | music | movies | TV | music | movies | TV | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies | music | movies", "target": ["Bionico is a dessert in from Guadalajara, Mexico, where the leader is Silvano Aureoles Conejo. Mexicans, inhabitants of Mexico, use the peso as currency.", "The currency in Mexico is a peso and is used by the Mexicans, people from Mexico. Bionico is a dish of food for dessert and is also a region in Guadalajara. The leader is Silvano Aureoles Conejo.", "Bionico is a dessert found in Guadalajara, Mexico, where the leader is Silvano Aureoles Conejo, and its inhabitants, the Mexicans, use the peso as their currency."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | country | Mexico", "doc_id": 1469, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala |", "target": ["The population density of Ciudad Ayala is 1604.0. Its time zone is Pacific Daylight Time and the Pacific Standard Time Zone.", "Ciudad Ayala (located in the Pacific Daylight time zone) is in the Pacific Standard Time zone and its population density is 1604.", "Ciudad Ayala city has a population density of 1604.0. The time zone of Ciudad Ayala is the Pacific standard Time Zone and the Pacific Daylight Time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 638, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolutePeriod | 12.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod", "target": ["Discovered by Grigory Neujmin, the asteroid 1147 Stavropolis has an apoapsis of 418476000000.0, an orbital period of 1249.6 days, an absolute magnitude of 11.5 and a rotation period of 20378.5.", "1147 Stavropolis has a rotation period of 20378.5, its absolute magnitude is 11.5, the orbital period is 1249.6, the apoapsis is 418476000000.0 AU and the discoverer is Grigory Neujmin.", "Grigory Neujmin discovered the 1147 Stavropolis asteroid, which has a rotation period of 20378.5 along with an orbital period of 1249.6 days. Additionally, the asteroid has an apoapsis of 418476000000.0 and the magnitude is 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | rotationPeriod | 20378.5", "doc_id": 397, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Reggae, Re", "target": ["The reggae music genre song Mermaid by Train was written by Espen Lind and preceded by the song This'll be my year. The song Mermaid was released on 2012-12-27.", "Written by Espen Lind, The Mermaid song by Train is a reggae song released on the twenty seventh of December 2012. It was preceded by the song This'll Be My Year."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | genre | Reggae", "doc_id": 468, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bionico | region | Jalisco, Mexico | course | Dessert, Bion", "target": ["Bionico is a dish served for dessert in the Jalisco region.", "Bionico is a dessert found in the region of Jalisco.", "The dessert, Bionico, is found in the region of Jalisco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Bionico | region | Jalisco", "doc_id": 1512, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | production | director | producer | cast | crew | music | lyrics | production | release | trailer | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster | poster |", "target": ["Louis Levy is the music composer of It's Great to Be Young (1956 film) in Gilbert Taylor's cinematography whereas Max Benedict its editor.", "The film \"It's Great to Be Young\" was composed by Louis Levy and edited by Max Benedict. The cinematographer is Gilbert Taylor.", "The film \"It's Great to Be Young\" was edited by Max Benedict, contained music composed by Louis Levy, and featured Gilbert Taylor as the cinematographer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor", "doc_id": 1522, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 35.1, Turn_Me_On_(album) | precededBy | Let_It_Breed, Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_Breed | precededBy | Let_It_", "target": ["The album Turn Me On (which has run time of 35.1 minutes) was preceded by the album Let It Breed; Let It Breed is preceded by the release of the album Love American Style.", "Preceded by the Love American Style album and the Let it Breed album, the album Turn Me On has a runtime of just over 35 minutes.", "Following the albums, Let it Breed and Love American Style, Turn me on was released at a length of 35 minutes and 10 seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | precededBy | Let_It_Breed, Let_It_Breed | precededBy | Love_American_Style_(album)", "doc_id": 655, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Kill", "target": ["The album Take It Off! is produced by the American band the Honeymoon Killers.", "The producer of Take It Off! is the American band the Honeymoon Killers.", "Take It Off! was produced by the American band, the Honeymoon Killers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTake_It_Off! | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 185, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", College_of_William_&_Mary | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, College_of_William_&_Mary | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business", "target": ["Alan B. Miller Hall (located in United States) is owned by The College of William and Mary and its current tenants are The Mason School of Business.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located in the United States and owned by the College of William and Mary.", "The Mason School of Business (located in the United States) are the current tenants of Alan B Miller Hall. The owner of the College is William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 427, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper | The_Caper", "target": ["Adam West had a main role in the movie Super Capers.", "Super Capers is a film starring Adam West.", "Super Capers is starring Adam West."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Adam_West", "doc_id": 818, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPer", "target": ["Grigory Neujmin was the discoverer of the 1147 Stavropolis asteroid of 418476000000.0 AU, with a 20378.5 rotation period and an orbital period of 1249.6.", "Asteroid 1147 Stavropolis was discovered by Grigory Neujmin. This asteroid has an orbital period of 1249.6 days, an apoapsis of 418476000000.0 and the rotation period is 20378.5.", "1147 Stavropolis is an asteroid that was discovered by Grigory Neujmin. It has a rotation period of 20378.5 with an orbital period of 1249.6 days. 418476000000.0 is the apoapsis of this asteroid."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | rotationPeriod | 20378.5", "doc_id": 354, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | current", "target": ["The College of WIlliam and Mary is the current owner of Alan B. Miller Hall and the Mason School of Business is the current tenants.", "The Mason School Of Business are the current tenants of Alan B Miller Hall, and the college of William and Mary is its owner."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1162, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height |", "target": ["Wharton Tiers was born on January 1, 1953.", "Wharton Tiers was born on January the 1st, 1953."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nWharton_Tiers | birthDate | 1953-01-01", "doc_id": 1157, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",_California, Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | leader | Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | leader | Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | leader | Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | leader | Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis,_Missouri, San_Francisco | leader | Ed_Lee(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St. Louis", "target": ["Bootleg Series Volume 1: The Quine Tapes was recorded in St. Louis, Missouri, and San Francisco, where Ed Lee is the political leader.", "Bootleg Series Volume 1: The Quine tapes were recorded in St. Louis, Missouri and San Francisco, where politician Ed Lee resides.", "The Bootleg Series Volume 1: The Quine Tapes were recorded in St. Louis Missouri but is now recorded in San Francisco, where Ed Lee is the political leader."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, San_Francisco | leader | Ed_Lee_(politician), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 311, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | age | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height |", "target": ["\"English Without Tears\" was produced by Anatole de Grunwald who was born on December 25, 1910.", "\"English Without Tears\" was produced by Anatole de Grunwald, who was born on December 25th 1910.", "Anatole de Grunwald, who was born on December 25, 1910, was the producer of English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, Anatole_de_Grunwald | birthDate | 1910-12-25", "doc_id": 1412, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\",", "target": ["Bill Oddie stars in Bananaman, which was created by John Geering and last aired on April 15th 1986. It was broadcast by the BBC, located at the Broadcasting House in London.", "On April 15 1986 The BBC, headquartered in Broadcasting house, aired the last episode of a tv series called Bananaman created by John Geering and starring Bill Oddie.", "Bananaman starring Bill Oddie, broadcasted by BBC is a fictional comic superhero created by John Geering. It was last aired on April 15th 1986. Broadcasting House is the home of the BBC which is based in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC", "doc_id": 1484, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hypermarcas | healthcare | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas | hypermarcas", "target": ["Hypermarcas produces both healthcare products and pharmaceutical drugs from their home base in the country of Brazil.", "Hypermarcas, which is located in Brazil, sells healthcare products and its main product is drugs.", "Drug maker Hypermarcas is located in Brazil and produces healthcare products."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | product | Healthcare", "doc_id": 916, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_", "target": ["\"McVeagh of the South Seas\" was written and directed by Harry Carey born in 1878 and produced by Progressive Motion Picture Company.", "Harry Carey, an actor born in 1878, was the director and writer for the film McVeagh of the South Seas which was produced by the Progressive Motion Picture Company.", "Harry Carey, an actor and director, was born in 1878. He was the writer of the movie McVeagh of the South Seas, which was produced by the Progressive Motion Picture Company. As well as writing the film script, Carey also acted a role in the movie, and directed it."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company", "doc_id": 130, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy | Dijon, France | University of Burgundy |", "target": ["In Dijon, 2900 University of Burgundy staff members service 16,800 undergraduate students.", "The University of Burgundy, located in Dijon, has 16800 undergraduate students and 2900 staff members.", "The University of Burgundy campus, located in Dijon, has 16,800 undergraduate students and 2900 staff members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | campus | Dijon", "doc_id": 602, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_to_Be_Young_(1956_film) | cast | John_Byrne, It's_Great_", "target": ["Gilbert Taylor was the cinematographer while Cyril Frankel was the director of the movie It's Great to Be Young. It came out in 1956 and lasted 94 minutes and accumulated 282,838 pounds.", "It\u2019s Great to Be Young is a 1956 film that lasts 94 minutes. It is directed by Cyril Frankel and the cinematographer is Gilbert Taylor. It has taken 282,838 at the box office.", "It's Great to be Young (94 minutes) was a film directed by Cyril Frankel. The 1956 film cost \u00a3282,838 to make, and is in Gilbert Taylor\u2019s cinematography."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 276, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BirthDate | Age | Education | Religion | Ethnicity | Family | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion | Ethnicity | Religion |", "target": ["Lady Anne Monson was born in Darlington which is located in Kingdom of England.", "Lady Anne Monson was born in Darlington in the Kingdom of England.", "Lady Anne Monson was born in Darlington which is also known as the Kingdom of England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthPlace | Kingdom_of_England", "doc_id": 1617, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | education | occupation | family | hobbies | interests | favorite books | favorite movies | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite music | favorite books | favorite movies | favorite music | favorite TV shows | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite movies | favorite music", "target": ["Liselotte Grschebina has Israeli nationality.", "Liselotte Grschebina's nationality is Israeli.", "Liselotte Grschebina is an Israeli national."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel", "doc_id": 1567, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Agremiacao Sportiva Arapiraquense club has 17000 members and they play in the Campeonato Brasileiro S\u00e9rie C league based in Brazil. Their ground is the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca and Vila Nova Futebol Clube are the champions of the league. The chairman of Agremia\u00e7\u00e3o Sportiva Arapiraquense has the title of 'President'."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | chairmanTitle | \"President\"", "doc_id": 1253, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music | Music", "target": ["Trance artist Andrew Rayel is associated with Bobina.", "Andrew Rayel, a performer in the genre of Trance music, is associated with the musical artist, Bobina.", "Andrew Rayel's musical genre is trance music which is often associated with Bobina."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrew_Rayel | associatedBand/associatedMusicalArtist | Bobina, Andrew_Rayel | genre | Trance_music", "doc_id": 1413, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | height | weight | hair color | eye color | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality |", "target": ["Former fighter pilot Nie Haisheng was born in the People's Republic of China on October 13, 1964.", "A former fighter pilot, Chinese national Nie Haisheng was born on October 13, 1964.", "Nie Haisheng, citizen of the People\u2019s Republic of China born on 10/13/1964, is a fighter pilot."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | occupation | Fighter_pilot", "doc_id": 1188, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas.com | hypermarcas", "target": ["Hypermarcas, whose main product is drugs, was founded on January 1, 2001 and is located in Brazil.", "Hypermarcas, which is located in Brazil, was founded on 2001-01-01 and makes drugs.", "Hypermarcas, a pharmaceutical drug producer located in Brazil, was founded January 1, 2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | foundingDate | 2001-01-01", "doc_id": 1002, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Gr", "target": ["Liselotte Grschebina was born in Karlsruhe and died on June 14, 1994 in Petah Tikva, Israel, which is home to the Arab ethnic group.", "Liselotte Grschebina was born in Karlsruhe and died on June 14, 1994 in Petah Tikva, Israel which is home to the ethnic group 'Arabs'.", "Liselotte Grschebina was born in Karlsruhe and died on June 14, 1994 in Petah Tikva, Israel which is home to ethnic groups such as the Arabs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Petah_Tikva, Israel | ethnicGroup | Arab_citizens_of_Israel", "doc_id": 283, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude", "target": ["1147 Stavropolis absolute magnitude is 11.5, and it was discovered by Grigory Neujmin. The apoapsis of the asteroid is 418476000000.0 AU and the orbital period is 1249.6.", "Grigory Neujmin discovered the asteroid 1147 Stavropolis of an absolute magnitude of 11.5, with 418476000000.0 apoapsis and 1249.6 days orbital period.", "The orbital period of the asteroid 1147 Stavropolis, discovered by Grigory Neujmin, is 1249.6 days. The apoapsis of 1147 Stavropolis is 418476000000.0 and it has an absolute magnitude of 1147 Stavropolis is 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 1663, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| governmentType | Unitary_state, Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson |", "target": ["Kingdom of England is a unitary state form of government which is also Lady Anne Monson's nationality.", "Lady Anne Monson is an English national from the unitary Kingdom of England.", "Lady Anne Monson held British nationality; she lived in the kingdom of England where there was a unitary state form of government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKingdom_of_England | governmentType | Unitary_state, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 1746, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The representation of a sentence in natural language\"", "target": ["The number of staff members at the University of Burgundy is 2900.", "The University of Burgundy employs 2900 staff members.", "The University of Burgundy has 2900 staff members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900", "doc_id": 626, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| width | 6.5 (centimetres) | height | 6.5 (centimetres) | text | \"The first locomotive built in Canada\"\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to", "target": ["The ALCO RS-3, which was 17068.8 millimetres long, was made between May 1950 and August 1956 by the Montreal Locomotive Works.", "Montreal Locomotive Works is the builder of the ALCO RS-3, which was produced between May 1950 and August 1956. Its length is 17068.8 millimetres.", "The ALCO RS-3, which is 17068.8 long, was made between May 1950 and August 1956 by Montreal Locomotive Works."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | Montreal_Locomotive_Works, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1245, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | producer | Anatole_de_G", "target": ["Anatole de Grunwald is the writer and producer of 'English Without Tears'.", "\"English Without Tears\" was produced and written by Anatole de Grunwald.", "'English Without Tears' was written by and produced by Anatole de Grunwald."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald", "doc_id": 1748, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer |", "target": ["McVeagh of the South Seas, a film with the IMDb #0004319, was distributed by Alliance Films Corporation and produced by the Progressive Motion Picture Company. The film was directed by Cyril Bruce and Harry Carey, who was born in 1878 and also starred in and wrote the film.", "\"McVeagh of the South Seas\" was directed by Cyril Bruce and actor Harry Carey. Harry Carey, born in 1878, also acted in the film and wrote it. Alliance Films Corporation distributed \"McVeagh of the South Seas\", and the movie has ID 0004319 on IMDb. The Progressive Motion Picture Company was responsible for the film\u2019s production.", "McVeagh of the South Seas (IMDb ID 0004319) is directed by Cyril Bruce and Harry Carey. Carey, born in 1878, also wrote and starred in the film. McVeagh of the South Seas was produced by the Progressive Motion Picture Company and distributed by Alliance Films Corporation."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation", "doc_id": 968, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission", "target": ["Alan Shepard, who was a crew member of Apollo 14, was born in New Hampshire and died in California.", "Apollo 14 crew member Alan Shepard was born in New Hampshire, but died in California.", "Part of the Apollo 14 mission, Alan Shepard was born in New Hampshire, but died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14", "doc_id": 145, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hypermarcas | netIncome | 108600000$, Hyper", "target": ["Hypermarcas, a drug maker in the pharmaceutical industry, was founded in Brazil on Jan 1 2001.Their key person is their CEO, and they have a net income of 108,600,000.", "Hypermarcas, a Brazilian pharmaceutical company, was founded on Jan 01, 2001 and had a net income of 108,600,000. It is headed by its CEO.", "Hypermarcas located in Brazil, is a company in the pharmaceuticals industry founded on January 1, 2001. Managed by their CEO the company has a net income of 108,600,000 and their main product is drugs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | keyPerson | CEO, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | netIncome | 108600000", "doc_id": 1381, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nThe following is a list of the most common types of sentences.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express", "target": ["Producer Sarah Teale's Death on a Factory Farm runs for 83.0.", "Sarah Teale produced the 83 minutes movie of Death on a Factory Farm.", "The film \"Death on a Factory Farm\" lasts 83 minutes with Sarah Teale as the producer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 408, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | almaMater | Leningrad_State", "target": ["Olga Bondareva-born as Olga Nikolaevna Bondareva-was a student at Leningrad State University. She was known for the Bondareva-Shapley theorem and later died in Saint Petersburg.", "Olga Bondareva, also known as Olga Nikolaevna Bondareva, graduated from Leningrad State University. She was known for the Bondareva-Shapley Theorem and later died in Saint Petersburg.", "Olga Bondareva\u2019s birth name was Olga Nikolaevna Bondareva. She was a student at Leningrad State University and was known for the Bondareva-Shapley Theorem. She later died in St. Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 1183, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | profession | occupation | hobbies | interests | family | hobbies | interests | hobbies | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies | interests | family | hobbies | hobbies | interests | family | hobbies", "target": ["Nurhan Atasoy (born January 1, 1934) was a Turkish citizen and national who had a residence in Istanbul.", "Born on January 1, 1934, Nurhan Atasoy is Turk and resides in Istanbul.", "Nurhan Atasoy a Turkish national, born on 1934-01-01 , has a residence in Istanbul."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1133, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "00000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees | 5594, Chinabank | netIncome | 1510000000000000, Chinabank | numberOfEmployees", "target": ["The net income of Chinabank is 15,100,000,000, and they have 5594 workers total.", "Chinabank currently brings in a net income of 15100000000 thanks to the efforts of its 5594 employees.", "Chinabank brings in a net income of 15,100,000,000 with its 5594 employees."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | numberOfEmployees | 5594, Chinabank | netIncome | 15100000000", "doc_id": 46, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_Bartz | Geof_", "target": ["Geof Bartz is the editor of the film Death on a Factory Farm.", "Death on a Factory Farm was edited by Geof Bartz.", "Geof Bartz is the editor of Death on a Factory Farm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | editor | Geof_Bartz", "doc_id": 1282, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| metal | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metalcore | metal", "target": ["Stoner sludge is a subgenre of sludge metal.", "Stoner sludge is a musical subgenre of sludge metal.", "Stoner sludge is a musical variety of sludge metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSludge_metal | musicSubgenre | Stoner_sludge", "doc_id": 838, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_album) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_song) | John Lennon | Imagine (John_Lennon_", "target": ["The song Imagine by John Lennon was released on the album also named Imagine.", "The John Lennon song Imagine belongs to the album Imagine by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | album | Imagine_(John_Lennon_album)", "doc_id": 899, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01-01 | isPartOf | cosparId | 2013-01", "target": ["Nie Haisheng was born in Zaoyang, which is part of Xiangyang, and was part of the mission Shenzhou 10 whose COSPAR ID is 2013-029A.", "The birth place of Nie Haisheng is Zaoyang, Xiangyang and he took part in the Shenzhou 10 mission which has the COSPAR ID of 2013-029A.", "Nie Haisheng was born in Zaoyang, part of Xiangyang, and participated in the Shenzhou 10 mission, which had the COSPAR ID of 2013-029A."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Zaoyang | isPartOf | Xiangyang, Nie_Haisheng | mission | Shenzhou_10, Shenzhou_10 | cosparId | 2013-029A", "doc_id": 310, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_", "target": ["The Bootleg Series Volume 1: The Quine Tapes was recorded under the Universal Music Group record label in San Francisco and released by the record label Polydor Records. It was preceded by the album Squeeze.", "Recorded in San Francisco, The Bootleg Series Volume 1: The Quine Tapes can be found under the record label of Universal Music Group even though the series was recorded under the Polydor Records record label. The Velvet Underground's triple album, The Bootleg Series Volume 1: The Quine Tapes was preceded by their album, Squeeze.", "The Bootleg Series Volume I: The Quine Tapes was recorded in San Francisco through Polydor Records and released by Universal Music Group. The previous Velvet Underground album was titled Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 511, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["Darinka Dentcheva's current residence is in New Jersey, United States where the most commonly spoken language is English.", "Darinka Dentcheva lives in the US state of New Jersey. In the States, English is the official language.", "Darinka Dentcheva resides in New Jersey, United States where the national language is English."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States, United_States | language | English_language", "doc_id": 1623, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume", "target": ["Bootleg Series Volume 1: The Quine Tapes was recorded through Polydor Records, released by the record label Universal Music Group, and preceded by the Velvet Underground album Squeeze.", "The Bootleg Series Volume 1: The Quine Tapes, which was preceded by the album Squeeze, was released by the record label Polydor Records and recorded under the Universal Music Group record label.", "Bootleg Series Volume 1: The Quine Tapes, recorded under the Polydor Records record label and published by Universal Music Group, was preceded by Squeeze by The Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 166, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grschebina | nationality, Liselotte_Grscheb", "target": ["Israeli national Liselotte Grschebina, born on 1908-05-02 in Karlsruhe, died on the 14th of June, 1994 in Israel.", "Liselotte Grschebina is an Israeli national who was born in Karlsruhe on May 2, 1908 and died in Israel on June 14, 1994.", "Liselotte Grschebina was an Israeli who was born in Karlsruhe on May 2, 1908 and died on June 14, 1994 in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel", "doc_id": 1421, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace | London, England.\nAnatole_de_Grunwald | deathPlace", "target": ["Anatole de Grunwald died in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAnatole_de_Grunwald | deathPlace | London", "doc_id": 1034, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\u00b0F | latitudeNorth | -77.8\u00b0E | longitudeWest | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2104\u00b0F | latitudeNorth | -77.878\u00b0W | altitudeAboveTheSeaLevel | 83.2", "target": ["Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF. The aerodrome serves the Bedford Autodrome; it is situated in Thurleigh and has an elevation of 83.2104 above sea level.", "Located in Thurleigh and identified by EGBF, the Bedford Aerodrome is 83.2 meters above sea level and serves the Bedford Autodrome.", "Bedford Autodrome is served by the The Bedford Aerodrome and the ICAO location identifier is EGBF located in Thurleigh. The Bedford Aerodrome elevation above the sea level is 83.2104 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 1407, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The representation of a sentence in natural language\"", "target": ["The number of doctoral students in the University of Burgundy is 1299.", "The University of Burgundy has 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 1538, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Duration of the course | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project | Duration of the project", "target": ["The Acharya Institute of Technology which is affiliated to Visvesvaraya Technological University has 700 postgraduate students.", "The Acharya Institute of Technology is affiliated with Visvesvaraya Technological University and has about 700 post-graduate students.", "The Acharya Institute of Technology, with around 700 postgraduate students, is affiliated with the Visvesvaraya Technological University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700", "doc_id": 1041, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | altitudeAboveTheSeaLevel | 619.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | latitudeAboveTheSeaLevel | -0.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | longitudeAboveTheSeaLevel | -0.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | latLongitude | -0.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | longitudeAboveTheSeaLevel | -0.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | longitudeAboveTheSeaLevel | -0.0, Alcobendas | country | Spain | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | lat", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in Alcobendas, Spain, with an elevation of 610.0 metres above sea level. The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is operated by ENAIRE, based in the city of Madrid.", "Adolfo Suarez Madrid-Barajas Airport in Alcobendas, Spain, is operated by ENAIRE, which is based in Madrid. The airport has an elevation of 610 metres above sea level.", "ENAIRE, in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport in Alcobendas, Spain. The airport is 610 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Alcobendas | country | Spain", "doc_id": 1597, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England", "target": ["The ceremonial county of Thurleigh is Bedfordshire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThurleigh | ceremonialCounty | Bedfordshire", "doc_id": 1341, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runway | runway Length | 3500.0, Alcobendas | country | Spain | runway | runway Length | 3500.0, Alcobendas | country | Spain | runway | runway Length | 3500.0, Alcobendas | country | Spain | runway | runway Length | 3500.0, Alcobendas | country | Spain | runway | runway Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500.0, Alcobendas | country | Spain | runway | Length | 3500", "target": ["Adolfo Suarez Madrid-Barajas Airport in Alcobendas, Spain, is operated by ENAIRE which is based in Madrid. The airport's runway length is 3500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is operated by ENAIRE in Alcobendas in the city of Madrid, and Alcobendas is located in Spain. The runway length of Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is 3,500.", "ENAIRE in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport which is in Alcobendas, Spain. The runway length at Adolfo Suarez Madrid-Barajas airport is 3500."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Alcobendas | country | Spain", "doc_id": 1211, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hypermarcas | product | Cosmetics, Hypermarcas | industry | Pharmaceuticals, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry | Cosmetics, Hypermarcas | industry |", "target": ["Hypermarcas is an S.A. corporation in the pharmaceutical industry that makes cosmetics products.", "S.A. Corporation, Hypermarcas is a pharmaceutical company that also sells cosmetics.", "Hypermarcas is a S.A pharmaceutical corporation that produces cosmetics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | type | S.A._(corporation), Hypermarcas | product | Cosmetics, Hypermarcas | industry | Pharmaceuticals", "doc_id": 1728, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The Green Channel | The", "target": ["Death on a Factory Farm is a film broadcasted by HBO, formerly known as The Green Channel.", "Formerly known as The Green Channel, HBO released Death on a Factory Farm.", "The Death on a Factory Farm was broadcasted by HBO, formerly known as 'The Green Channel'."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | broadcastedBy | HBO, HBO | formerName | The Green Channel", "doc_id": 285, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (mm) | stroke | 1.0 (", "target": ["The ALCO RS-3, which was produced between May 1950 and August 1956, has a V12 engine, a cylinder count of 12 and measures 17068.8 (millimetres) in length.", "The ALCO RS-3 was produced between May 1950 and August 1956 and has a length of 17068.8 millimetres. It has a cylinder count of 12 and a V12 engine.", "The ALCO RS-3 is 17068.8 millimetres in length and was produced between May 1950 and August 1956. The ALCO RS-3 has 12 cylinders and a V12 engine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 557, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most", "target": ["La Crosse Wisconsin is 204.0 meters above sea level.", "La Crosse, Wisconsin is 204 meters above sea level.", "La Crosse is a city in the U.S. state of Wisconsin and its elevation above sea level is 204 m.", "La Crosse, Wisconsin is 204 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLa_Crosse,_Wisconsin | elevationAboveTheSeaLevel | 204.0", "doc_id": 1457, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_Griggs, Super_Capers | director | Ray_", "target": ["Lionsgate, the distributor for the movie Super Capers, has two key people: Jon Feltheimer and Michael R. Burns. Super Capers is directed by Ray Griggs and stars Michael Rooker.", "Super Capers was distributed by Lionsgate but, directed by Ray Griggs. Michael Rooker played in the movie as well. Michael R Burns and Jon Feltheimer are key people of Lionsgate.", "Michael R Burns and Jon Feltheimer played key roles for the company Lionsgate in the distribution of the film \"Super Capers,\" starring Michael Rooker and directed by Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Lionsgate, Lionsgate | keyPerson | Jon_Feltheimer, Lionsgate | keyPerson | Michael_R._Burns, Super_Capers | starring | Michael_Rooker, Super_Capers | director | Ray_Griggs_(director)", "doc_id": 1410, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | manager | Vica_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | manager | Vica_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | manager | Vica_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | manager | Vica_Futebol_Clube, Campe", "target": ["The Agremia\u00e7\u00e3o Sportiva Arapiraquense club are managed by Vica. They have 17000 members and played in the Campeonato Brasileiro S\u00e9rie C league based in Brazil on their ground the Estadio Municipal Coaracy da Mata Fonseca located in Arapiraca. The Vila Nova Futebol Clube are the champions.", "The Estadio Municipal Coaracy da Mata Fonseca is in Arapiraca & is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense (plays in the Campeonato Brasileiro S\u00e9rie C league managed by Vica with 17000 members). The Vila Nova Futebol Clube from Brazil were champions at the Campeonato Brasileiro S\u00e9rie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and played in the Campeonato Brasileiro S\u00e9rie C league from Brazil, whose champions are Vila Nova Futebol Clube. They are managed by Vica. The Est\u00e1dio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense located in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | manager | Vica", "doc_id": 648, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Noise_pop | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | musicFusion | music", "target": ["Noise pop is a fusion genre, having elements from noise rock, which is the genre of the album Turn Me On, among other things.", "Noise pop is a fusion genre of noise rock an example of which is Turn Me On album.", "The album Turn Me On is an example of the genre known as noise rock, a fusion genre having elements of noise pop among other things."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Noise_rock, Noise_rock | musicFusionGenre | Noise_pop", "doc_id": 172, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album)", "target": ["The Brian Kelly album Afterplay was preceded by Pools of Light and then Expect a Miracle.", "Brian Kelly's discography consists of Pools of Light, Expect A Miracle, and Afterplay, in that order.", "Brian Kelly's album Pools of Light precedes Expect a Miracle which was then followed by the Afterplay album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 1348, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Records, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nPolydor_Records | distributingLabel | Interscope_Geffen_A&M Records, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nPolydor_Records | distributingLabel | Interscope_Geffen_A&M Records, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nPolydor_Records | distributingLabel | Interscope_Geffen_A&M Records, Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the", "target": ["Interscope Geffen A&M distributes the Polydor Records label.", "Polydor Records' distributing label is Interscope Geffen A&M."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPolydor_Records | distributingLabel | Interscope_Geffen_A&M", "doc_id": 772, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "00000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome | 1510000000000000, Chinabank | netIncome |", "target": ["Chinabank was founded on August 16,1920 and the bank has 295 centers and provides services to customers. Chinabank's net income is 15,100,000,000.", "Chinabank is a banking service company with 295 locations. Founded on August 16, 1920, Chinabank has a net income of $15,100,000,000.", "Chinabank offers banking services, it was founded on August 16th, 1920 and now has 295 branches and a net income of 15100000000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | service | Banking, Chinabank | numberOfLocations | 295, Chinabank | foundingDate | 1920-08-16, Chinabank | netIncome | 15100000000", "doc_id": 1254, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density", "target": ["The Ciudad Ayala city, a part of Morelos in Mexico with population density of 1604.0, has the leader called as the governator. Ciudad Ayala's with 1147.0 of elevation above sea level, follows Pacific Daylight Time Zone.", "Ciudad Ayala is part of Morelos and a city in Mexico whose population density is 1604 with an elevation of 1147m above sea level, located in the Pacific Daylight time zone. Ciudad Ayala has a leader called the Governator.", "Ciudad Ayala is a city and a part of Morelos located in Mexico. This city has a population density of 1604.0, with an elevation of 1147.0 above sea level. The city is in PDT time zone. The leader in Ciudad Ayala is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 599, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city | France | city", "target": ["The University of Burgundy in Dijon, France, has 2900 staff members that educate 27400 students: 16800 undergraduate students, 1299 PhD students, and 9400 postgraduate students.", "The University of Burgundy in Dijon, France has 2900 staff members that educate 16800 undergraduate students, 1299 doctoral students, and 9400 postgraduate students. In total, there are 27400 students at the university.", "The University of Burgundy in Dijon, France has 2900 staff members that educate 27400 students. Among them, there are 16800 undergraduate students, 1299 doctoral students, and 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | country | France", "doc_id": 524, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer |", "target": ["'English Without Tears' was written by Terence Rattigan and Anatole de Grunwald, who was born in Saint Petersburg.", "'English Without Tears' is the screenplay of writers Terence Rattigan and Anatole de Grunwald. The latter was born in Saint Petersburg.", "The writer of English Without Tears was Anatole de Grunwald, born in Saint Petersburg. \"English Without Tears\" was authored by Terence Rattigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAnatole_de_Grunwald | birthPlace | Saint_Petersburg, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | writer | Terence_Rattigan", "doc_id": 1762, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Buzz Aldrin graduated from Massachusetts Institute of Technology with a Sc.D in 1963 and was a crew member of Apollo 11.", "Buzz Aldrin, a member of the Apollo 11 crew, received his Sc. D. from MIT in 1963.", "Buzz Aldrin, who graduated from MIT in 1963 with a Sc.D., was a crew member on Apollo 11."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | mission | Apollo_11, Buzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"", "doc_id": 1616, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grsche", "target": ["Liselotte Grschebina was an Israeli born in the German Empire on May 2nd, 1908 in Karlsruhe and died in Israel on June 14, 1994.", "Liselotte Grschebina, born in Karlsruhe in the German Empire on 1908-05-02, is of Israeli nationality. She died on the 14th of June, 1994 in Israel.", "Liselotte Grschebina, born on May 2, 1908 in Karlsruhe in the German Empire, is an Israeli national. She died on June 14, 1994 in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire", "doc_id": 1268, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France", "target": ["The University of Burgundy is located in the city of Dijon in France.", "The University of Burgundy is located in Dijon, France.", "The University of Burgundy is located in the city of Dijon,France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | city | Dijon, University_of_Burgundy | country | France", "doc_id": 1498, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878) | actor | McVeagh_of_the", "target": ["Born in 1878, Harry Carey acted in, directed, and wrote the movie McVeagh of the South Seas. The movie was directed by Cyril Bruce.", "Harry Carey an actor born in 1878 is the writer and director of McVeagh of the South Seas, which is directed by Cyril Bruce.", "Born in 1878, Harry Carey wrote and directed the film McVeagh of the South Seas. Cyril Bruce also directed the film."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 827, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey, United_States | leader | Joe_Biden, Darinka_D", "target": ["John Roberts is a leader in the United States, where Darinka Dentcheva resides (in New Jersey), and Joe Biden is also one of the leaders.", "Darinka Dentcheva's current residence in the state of New Jersey in United States. United States has had some top officials and leaders as Joe Biden and John Roberts respectively.", "Within the United States Joe Biden is one of its top officials whilst John Roberts is one of its leaders. Darinka Dentcheva currently resides in New Jersey of the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | leader | John_Roberts, Darinka_Dentcheva | residence | United_States, United_States | leader | Joe_Biden, Darinka_Dentcheva | residence | New_Jersey", "doc_id": 1545, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States, AmeriGas | country | United_States", "target": ["AmeriGas serves all regions of the United States, which is also its home country.", "The American company AmeriGas serves the United States.", "AmeriGas works in the United States, providing services there too."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | regionServed | United_States, AmeriGas | country | United_States", "doc_id": 1734, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"A\"\nThe following is a list of the most common types of sentences.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words", "target": ["The Bedford Aerodrome is 83.2 meters above sea level and has a runway named \"08/26\" which is made of concrete.", "Bedford Aerodrome has 08/26 runway made of concrete at an elevation of 83.2104 above sea level.", "The Bedford Aerodrome runway name is 08/26, and it is made of concrete. The aerodrome is 83.2104 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 886, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfTeachingStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfFaculty | 9400, University_of_Burgundy | numberOfInstitutes | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfFaculty | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy |", "target": ["The University of Burgundy in Dijon has 2,900 staff members along with 27,400 students, of which 9,400 are postgraduate students and 1,299 are PhD students.", "The University of Burgundy in Dijon has 2900 staff members that educate a total of 27400 students of them 1299 are doctoral students, and 9400 are postgraduate students.", "The University of Burgundy in Dijon has 2900 staff members that educate 27400 students. They have 1299 doctoral students, and 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 141, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State | City | State", "target": ["The Mexican city of Ciudad Ayala is run by a leader known as the governator. Its population density is 1604 and its UTC offset is -6.", "Ciudad Ayala is a city in the UTC offset -6 timezone in the country of Mexico with a population density of 1604.0. The city leader is called the governator.", "Ciudad Ayala, with a UTC offset of -6, is a city in Mexico led by a Governator with a population density of 1604."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | country | Mexico", "doc_id": 977, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | location | Philippines | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfLocations | 295, Chinabank | numberOfL", "target": ["Located in the Philippines, Chinabank has 295 locations.", "Chinabank, located in the Philippines, has 295 banking centers.", "Chinabank, located in the Philippines, has 295 branches."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | numberOfLocations | 295, Chinabank | location | Philippines", "doc_id": 142, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England | England", "target": ["The Bedford Aerodrome is located in Thurleigh, United Kingdom.", "The location of Bedford Aerodrome is Thurleigh which is located within the United Kingdom.", "The location of Bedford Aerodrome is Thurleigh which is in the United Kingdom."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Thurleigh | country | United_Kingdom", "doc_id": 974, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of", "target": ["The total area for Gdynia, Poland is 135.0 square km.", "The total area of Gdynia, Poland is 135,000,000.0.", "Gdynia, Poland has a total area of 135 square kilometres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGdynia,_Poland | areaTotal | 135000000.0", "doc_id": 1561, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Olga Bondareva who was known for the Bondareva-Shapley theorem was born on April 27, 1937 and died in Saint Petersburg.", "Olga Bondareva, known for the Bondareva-Shapley theorem, was born on April 27th, 1937 and died in Saint Petersburg.", "Olga Bondareva, known for the Bondareva-Shapley theorem, was born on April 27, 1937 and died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem", "doc_id": 1387, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid.org/index.php/cosparid/index.html | http://www.cosparid", "target": ["Nie Haisheng took part in the Shenzhou 6 mission which had a COSPAR ID of 2005-040A.", "Nie Haisheng took part in the Shenzhou 6 mission with COSPAR ID of Shenzhou 6 of 2005-040A.", "Nie Haisheng was a crew member on Shenzhou 6 is the COSPAR ID is 2005-040A."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | mission | Shenzhou_6, Shenzhou_6 | cosparId | 2005-040A", "doc_id": 313, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian", "target": ["The author of 1634: The Bavarian Crisis, Eric Flint, was influenced by Robert A. Heinlein.", "1634: The Bavarian Crisis's author, Eric Flint, was influenced by Robert A. Heinlein.", "Eric Flint, author of 1634: The Bavarian Crisis, was influenced by Robert A. Heinlein."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEric_Flint | influencedBy | Robert_A._Heinlein, 1634:_The_Bavarian_Crisis | author | Eric_Flint", "doc_id": 1099, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_She", "target": ["Alan Shepard was an American who was was born on November 18, 1923 in New Hampshire, graduated from NWC in 1957 with an M.A and died in California.", "Alan Shepard was born in New Hampshire, America, on November 18th, 1923. He went to school at NWC and graduated with an MA in 1957. He retired on August 1st, 1974, and died in California.", "Alan Shepard is an American who was born on November 18, 1932 in New Hampshire. He graduated from NWC with an M.A. in 1957. Shepard retired on August 1, 1974 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 773, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien and published by George Allen & Unwin. Fantasy is the Fellowship of the Ring's genre and the Two Towers is its sequel.", "J. R. R. Tolkien writes in the fantasy genre. His The Fellowship of the Ring was published by George Allen & Unwin. Next The Two Towers followed.", "The author of the Fellowship of the Ring, published by George Allen & Unwin, is J.R.R.Tolkien. It belongs to the fantasy literary genre and it is followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 1358, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy | Fantasy", "target": ["The literary genre of The Hobbit is juvenile fantasy.", "The Hobbit's genre is juvenile fantasy.", "The Hobbit is classified in the juvenile fantasy genre of literature."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Hobbit | literaryGenre | Juvenile_fantasy", "doc_id": 546, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"\nAlan_Shepard | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaM", "target": ["Alan Shepard was born November 18th, 1923 in New Hampshire and later died in California. Shepard graduated from NWC with an M.A. in 1957 and was also the Chief of the Astronaut Office in 1963.", "Alan Shepard was born on November 18th, 1923, in New Hampshire. He went to school at NWC and graduated with an MA in 1957. Then, in 1963, he was the Chief of the Astronaut Office. He died in California.", "Alan Shepard was born on November 18, 1923 in New Hampshire and later died in California. Shepard graduated from NWC in 1957 with an M.A. and served as Chief of the Astronaut Office in 1963."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\"", "doc_id": 1018, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_&_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of_William_Mary | currentTenants | College_of", "target": ["The address of Alan B. Miller Hall is 101 Ukrop Way and the property was designed by architect Robert A M Stern. The current owner of the building is the College of William and Mary and the building was completed on 01/06/2009. The Mason School of Business are currently based at the Hall and are current tenants.", "The College of William and Mary own the Alan B. Miller Hall which was completed on 1st June 2009 and was designed by Robert A.M. Stern. The Mason School of Business are the current tenants of Alan B Miller Hall which is located at 101 Ukrop Way.", "The Mason School of Business are the current occupants of Alan B Miller Hall which is the property of the College of William and Mary. The building itself was designed by architect Robert A.M. Stern and was completed on June 1st, 2009. It is located at 101 Ukrop Way."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1177, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | music | David_Gibson, English_Without_Tears | production | David_Gibson, English_Without_Tears | production designer | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | costume designer | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_Gibson, English_Without_Tears | art director | David_", "target": ["English Without Tears was edited by Alan Jaggs, produced by Anatole de Grunwald, with Bernard Knowles as the cinematographer.", "English Without Tears was produced by Anatole de Grunwald, film editor Alan Jaggs and cinematographer Bernard Knowles.", "Bernard Knowles was the cinematographer of the film \"English Without Tears' which was edited by Alan Jaggs and produced by Anatole de Grunwald."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 1471, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate | English, Brandon_Carter | knownFor | birthDate", "target": ["Brandon Carter (born in England) works in the field of general relativity and is best known for the Carter constant and the No-hair theorem.", "Englishman Brandon Carter, well-known for his contributions to the no-hair theorem and the Carter Constant, has established himself as a professional in the field of General Relativity.", "Brandon Carter, who was born in England, was a physicist working in the domain of general relativity. He is known as the inventor of the Carter constant and for proving the No-hair theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | birthPlace | England", "doc_id": 336, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_", "target": ["The Mumbai based The All India Council for Technical Education granted Technical Campus status to the Acharya Institute of Technology. The Acharya Institute of Technology is affiliated with the Belgaum based Visvesvaraya Technological University and is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "The Acharya Institute of Technology is affiliated to Visvesvaraya Technological University which is located in the city of Belgaum. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Mumbai based All India Council for Technical Education gave Technical Campus status to the Acharya Institute of Technology. The Acharya Institute of Technology is affiliated with the Belgaum based Visvesvaraya Technological University. and is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Visvesvaraya_Technological_University | city | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1292, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity_of | The_Necessity", "target": ["Brandon Carter is known for his work with the Doomsday argument.", "Brandon Carter is known for his Doomsday argument.", "Brandon Carter is known for the Doomsday argument."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | knownFor | Doomsday_argument", "doc_id": 1192, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | Mysore | Mysore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | city | Bangalore, Ach", "target": ["The Acharya Institute of Technology, located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, in the state of Karnataka, India, is directed by Dr. G. P. Prabhukumar, and has the distinction of being a Technical Campus designated by the All India Council for Technical Education of Mumbai.", "The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, in Karnataka state. All India Council for Technical Education, located in Mumbai, awarded the Institute with the status of Technical Campus. The Institute's director is Dr. G. P. Prabhukumar.", "The All India Council for Technical Education was proud to give the Technical Campus status to the Acharya Institute of Technology located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore, Karnataka - 560090, whose director is Dr. G. P. Prabhukumar. All India Council for Technical Education is located in Mumbai."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1480, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_Shepard | hobbies | interests | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite TV shows, Alan_Shepard | favorite sports, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite TV shows, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite sports, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite TV shows, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite books, Alan_Shepard | favorite movies, Alan_Shepard | favorite music, Alan_Shepard | favorite books, Alan_", "target": ["Alan Shepard, a test pilot that died in California, was born in New Hampshire.", "Alan Shepard, a test pilot born in New Hampshire, died in California.", "Test pilot Alan Shepard, born in New Hampshire, later died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot", "doc_id": 885, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Mexico, inhabited by Mexicans, has the peso as their currency. Bionico is a dessert found in Guadalajara in Mexico. Sandesh (a confectionery) is also served as a dessert.", "Bionico is a dessert food found in Mexico, in the Guadalajara region. Sandesh is also a nice confectionery dessert. In Mexico, the national currency is the peso and the local people are called Mexicans.", "Sandesh and Bionico are desserts, the latter of which is found in Guadalajara, Mexico, where its inhabitants are Mexicans who use the peso as currency."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 1676, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Thesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence 'I will verbalize an abstract representation of a sentence in natural language' is not a good choice of words.\"\nThesis: \"The use of the word 'I' in the sentence", "target": ["Justin Whalin\u2019s job is a presenter.", "Justin Whalin was a presenter.", "Justin Whalin worked as a presenter."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJustin_Whalin | occupation | Presenter", "doc_id": 1539, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["The postal code for Dijon is 21000.", "The postal code of Dijon is 21000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDijon | postalCode | 21000", "doc_id": 1295, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedfordshire, England, United Kingdom.\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | city", "target": ["The runway length at the Bedford Aerodrome in Thurleigh is 1095 and the aerodrome serves the Bedford Autodrome.", "The runway length of the Bedford Aerodrome (serviced by the Bedford Autodrome) in Thurleigh measures 1095.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh", "doc_id": 778, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The Mason School of Business is located in the United States at the College of William and Mary owned Alan B. Miller Hall, which was designed by architect Robert A.M. Stern. The hall, which was completed on the 1st of June, 2009, can be found at 101 Ukrop Way and began construction on the 30th of March, 2007.", "The architect of the Alan B Miller Hall, which is at 101 Ukrop Way, USA, is Robert A M Stern. They started to build the Alan B Miller Hall on the 30th of March, 2007 and it was finished on the 1st of June 2009.The Mason School of Business are the current tenants of the building which is owned by The College of William and Mary.", "The College of William and Mary own the Alan B. Miller Hall situated at 101 Ukrop Way, USA. The building, which was designed by architect Robert A.M. Stern, currently houses The Mason School of Business and was constructed between the 30th of March 2007 and the 1st of June 2009."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1735, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_of_Eternal_Music | associatedBand/musicalArtist | Theatre_", "target": ["The Velvet Underground band drew occasional musical artists from an associated group called Theater of Eternal Music.", "The Velvet Underground is in association with the group Theatre of Eternal Music.", "The Velvet Underground is associated with the band Theatre of Eternal Music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Velvet_Underground | associatedBand/associatedMusicalArtist | Theatre_of_Eternal_Music", "doc_id": 344, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | nationality | mother | father | nationality | country | city | state | zip | city | state | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | country | city | state | country | city | country | city | country | city | country | city | country | state | country | city | country | city | country | city | country | state | country | city | country | city | country | state | country | city | country | city | country | state | country | city | country | city | country | city | country | state | country | city | country | city | country | city | country | city | country | state | country | city | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country", "target": ["Darinka Dentcheva was born on January 1st, 1958. She is a mathematician working in the field of mathematical optimization, and is known for her work with stochastic programming. One of her theories was influenced by Andrzej Piotr Ruszczy\u0144ski. She is a citizen of the United States and resides in New Jersey.", "Mathematical optimization professional Darinka Dentcheva was born January 1, 1958. Known for her work in Stochastic programming, Dentcheva was influenced by Andrzej Piotr Ruszczy\u0144ski. The New Jersey resident holds U.S. citizenship.", "US citizen and New Jersey resident Darinka Dentcheva, born Jan 1st 1958, is known for her work - influenced by Andrzej Piotr Ruszczynski - in stochastic programming in the field of mathematical optimization."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | residence | New_Jersey", "doc_id": 706, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Law", "target": ["Sarah Teale and Tom Simon directed the 83 minute movie Death on a Factory Farm which was edited by Geof Bartz. Jamie Lawrence composed the music for the movie which was released by HBO.", "Tom Simon and Sarah Teale directed the 83 minute movie Death on a Factory Farm which was edited by Geof Bartz. Jamie Lawrence composed music for this movie which was broadcasted by HBO.", "Sarah Teale and Tom Simon directed the 83 minute movie Death on a Factory Farm which edited by Geof Bartz and broadcasted by HBO. The movie has Jamie Lawrence as the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 163, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate | 2001-01-01 | CEO, Hypermarcas | foundingDate |", "target": ["Hypermarcas is a CEO led pharmaceutical company founded on January 1, 2001.", "Hypermarcas, founded on 2001-01-01, is in the pharmaceutical industry; its key person is their CEO.", "Hypermarcas, a company in the pharmaceuticals industry, founded on January 1, 2001, is managed by the CEO."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | keyPerson | CEO, Hypermarcas | foundingDate | 2001-01-01", "doc_id": 1744, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics, Cosmetics,", "target": ["Hypermarcas is a company founded on January 1, 2001, that produces cosmetics.", "Hypermarcas was founded on the first of January 2001 and sells cosmetics.", "The cosmetics manufacturer, Hypermarcas was established January 1, 2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | foundingDate | 2001-01-01, Hypermarcas | product | Cosmetics", "doc_id": 1061, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | genre | Reggae, Imagine", "target": ["The Train song Mermaid, which is an example of the reggae and pop rock genres, was produced by the Espionage production team and released on 2012-12-27. It was written by Espen Lind and was preceded by the song This'll be my year. The song has a total runtime of three minutes and sixteen seconds. The band followed this up with their cover of John Lennon\u2019s Imagine.", "Train followed This'll Be My Year with with the release of Mermaid (3.16 minutes), a pop rock/reggae song produced by Espionage. Mermaid premiered on December 27, 2012, and was subsequently followed by the release of the band's cover of John Lennon's Imagine.", "The Train song Mermaid, which is in the reggae and pop rock genres, was released on 2012-12-27 and produced by the Espionage production team. It was preceded by the song This'll be my year and was followed by the band\u2019s cover of Imagine by John Lennon. The song has a total runtime of three minutes and sixteen seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 1711, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate | type | Public_company, Super_C", "target": ["Super Capers was distributed by the public company Lionsgate. It was also distributed by Roadside Attractions.", "Roadside Attractions distributed Super Capers which was also distributed by the public company Lionsgate.", "The movie Super Capers is distributed by Roadside Attractions and Lionsgate, a public company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Roadside_Attractions, Lionsgate | type | Public_company, Super_Capers | distributor | Lionsgate", "doc_id": 91, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate | The Lion's Gate", "target": ["Lionsgate offers broadcast programming service.", "Lionsgate provides the service of broadcast programming.", "Broadcast programming is a service of Lionsgate."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | service | Broadcast_programming", "doc_id": 1343, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | profession, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | education, Lady_Anne_Monson | religion, Lady_Anne_Monson | family, Lady_Anne_Monson | children, Lady_Anne_Monson | siblings, Lady_Anne_Monson | pets, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | interests, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite sports, Lady_Anne_Monson | favorite TV shows, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite websites, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite TV shows, Lady_Anne_Monson | favorite books, Lady_Anne_Monson | favorite music, Lady_Anne_Monson | favorite movies, Lady_Anne_Monson | favorite TV", "target": ["Lady Anne Monson works in the professional field of Botany and is married to George Monson. She is of the English nationality but currently resides in India.", "Lady Anne Monson (spouse of George Monson) studied the professional field of botany. She resided in India, despite being a national of the Kingdom of England.", "Lady Anne Monson lived in the Kingdom of England and held British nationality, but resided in India for most of her life. She was a botanist and was married to George Monson."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | professionalField | Botany", "doc_id": 863, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_", "target": ["Alan Shepard was a United States national, born on November 18th, 1923 in New Hampshire. He was the Chief of the Astronaut Office in 1963. The United States Navy awarded him the Distinguished Service Medal, which is higher than the Department of Commerce gold medal. He died in California.", "American Alan Shepard was born in New Hampshire on November 18th 1923. Shepard was awarded the Distinguished Service Medal from the Navy which ranks higher than Department of Commerce Gold Medal, he was the chief of the astronaut office in 1963 and he recently passed away in California.", "Alan Shepard, who served as Chief of the Astronaut Office in 1963, was awarded the Distinguished Service Medal, which is higher than the Department of Commerce Gold Medal, by the United States Navy. Shepard was born in New Hampshire in the United States on November 18, 1923 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Distinguished_Service_Medal_(United_States_Navy) | higher | Department_of_Commerce_Gold_Medal, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1089, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_", "target": ["Artist Brian Kelly, who is a composer & pianist, created Expect a Miracle, which is an easy listening album in the instrumental music genre.", "Expect a Miracle by Brian Kelly falls until both the instrumental genre and the easy listening genre.", "Expect a Miracle by Brian Kelly falls under both the instrumental genre and the easy listening genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening", "doc_id": 740, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | genre | Post-metal, Aaron_Turner", "target": ["Aaron Turner, originally from the U.S., started performing in 1995 and played post-metal music with the band Twilight.", "Aaron Turner, born in the USA, started performing in 1995 and played with the band Twilight. His genre is post-metal.", "The US national Aaron Turner performed with post metal genre band Twilight. He first began performing in 1995."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | origin | United_States, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 610, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Bro", "target": ["Tim Brooke-Taylor starred in the Steve Bright creation Bananaman which was broadcast by the BBC, based at Broadcasting House in London.", "The BBC broadcasted TV show Bananaman, which starred Tim Brooke-Taylor and was created by Steve Bright. The BBC\u2019s home and headquarters is Broadcasting House in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor", "doc_id": 136, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a", "target": ["Death on a Factory Farm has a duration of 83 minutes.", "Death on a Factory Farm has a running time of 83.0.", "The film \u2018Death on a Factory Farm\u2019 lasts 83 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | runtime | 83.0", "doc_id": 1283, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) | genre | Pop_music, Imagine_(John_Lennon_song) |", "target": ["The song Mermaid by Train is written in the reggae music genre and was followed by the band\u2019s cover of the John Lennon song Imagine. The original version of Imagine is in the pop music genre and was followed up by Lennon\u2019s hit Happy Xmas (War is Over).", "Imagine, a pop song by John Lennon, was released prior to the reggae song Mermaid by Train. After the release of Imagine, the song Happy Xmas came out.", "Train's reggae song \"Mermaid\" was followed by the release of the pop song Imagine by John Lennon. This was then followed by Happy Xmas (War Is Over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Reggae, Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over), Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | genre | Pop_music", "doc_id": 862, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | current", "target": ["The designer of Alan B Miller Hall, located in Virginia, was Robert A M Stern. The current tenants are the Mason School of Business, however the Hall\u2019s owner is the College of William and Mary.", "The Mason School of Business are the current tenants of Alan B Miller Hall, situated in Virginia, built by Robert A.M. Stern and owned by the College of William and Mary.", "Robert A.M. Stern is the architect for Alan B. Miller Hall which is owned by the College of William and Mary and is in Virginia. The Mason School of Business are tenants of the Hall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 420, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hampshire, United Kingdom | religion | nationality | ethnicity | education | occupation | occupation | profession | occupation | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession |", "target": ["Lady Anne Monson was born in the Kingdom of England whose capital was previously Winchester.", "Lady Anne Monson was born in the Kingdom of England where Winchester was previously the capital.", "Lady Anne Monson was born in Winchester, the capital of the Kingdom of England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Kingdom_of_England, Kingdom_of_England | capital | Winchester", "doc_id": 976, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials, Trane | industry | Building_materials", "target": ["Trane (founded in 1913-01-01), is a building materials company that currently employs 29000 people, and whose main product is HVAC.", "The Trane company, which manufactures HVAC building materials, was founed on 1 January 1913 and employs 29,000 people.", "Trane, which was founded on 1913-01-01, has 29,000 employees. Trane is a company that produces HVAC in the building materials industry."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | foundingDate | 1913-01-01, Trane | numberOfEmployees | 29000, Trane | product | HVAC, Trane | industry | Building_materials", "doc_id": 534, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Polish | religion | ethnicity | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite music", "target": ["Piotr Hallmann, who was born in Gdynia, Poland on the 25th of August 1987, is 175.26 cm tall and weighs 70.308 kg.", "Piotr Hallmann was born on August 25, 1987 in Gdynia Poland and his weight is 175.26 cm. His weight is 70.308 kilograms.", "Piotr Hallmann, born on August 25, 1987 in Gdynia, Poland, weighs 70.308kg and stands 175.26 cm tall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26, Piotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthPlace | Gdynia,_Poland, Piotr_Hallmann | birthDate | 1987-08-25", "doc_id": 319, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC", "target": ["Bananaman is created by Steve Bright and it stars Bill Oddie. The BBC, located at the Broadcasting House in London, broadcasts Bananaman.", "Bill Oddie starred in Bananaman which was a creation of Steve Bright. It was broadcast by the BBC which has its headquarters at Broadcasting House in London.", "BBC headquarters is called Broadcasting House. Bananaman starred Bill Oddie. It was created by Steve Bright, and the TV series is shown on BBC."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC", "doc_id": 1175, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | Anatole_de_Grunwald, English_Without_Tears | music | Bernard_Knowles, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English_Without_Tears | production | Anatole_de_Grunwald, English_Without_Tears | art | Anatole_de_Grunwald, English", "target": ["A film named \"English Without Tears\" was released on July 28th, 1944. The film was edited by Alan Jaggs and produced by Anatole de Grunwald. Interestingly enough, the script was also written by Anatole de Grunwald. Finally, film buffs should know that Bernard Knowles was the cinematographer responsible for the beauty of this movie.", "English Without Tears was written and produced by Anatole de Grunwald and it was released on July 28th, 1944. Bernard Knowles was the cinematographer while Alan Jaggs was the editor.", "\"English Without Tears\", released 7-28-1944, was both produced and written by Anatole de Grunwald. Bernard Knowles did the cinematography for the movie, while Alan Jaggs was put in charge of editing."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 422, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre) | Fantasy (genre)", "target": ["The fellowship of the Ring belongs to the fantasy genre.George Allen & Unwin published it.", "The Fellowship of the Ring was published in the Fantasy genre by George Allen & Unwin.", "The Fellowship of the Ring, from the fantasy genre, was published by George Allen & Unwin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre)", "doc_id": 21, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt_University | Germany | Mathematical_optimization, Darinka_Dentcheva | almaMater | Humboldt", "target": ["Darinka Dentcheva, known for her work with stochastic programming, was influenced by the work of Andrzej Piotr Ruszczynski. She attended Humboldt University and her professional field is Mathematical optimization.", "Darinka Dentcheva (whose alma mater is Humboldt University) was influenced by Andrzej Piotr Ruszczy\u0144ski. She is a professional in the field of mathematical optimization and is known for Stochastic programming.", "Darinka Dentcheva graduated from Humboldt University and worker as a mathematician in the field of Mathematical Optimization. Darinka is known for her work with stochastic programming and developed a theory that was influenced by Andrzej Piotr Ruszczynski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 472, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | profession, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | education, Lady_Anne_Monson | religion, Lady_Anne_Monson | occupation, Lady_Anne_Monson | occupation, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | occupation, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson | profession, Lady_Anne_Monson", "target": ["Lady Anne Monson was born in England and died on February 18th, 1776. She was a botanist and was married to George Monson.", "Lady Anne Monson was born in the Kingdom of England and died on February 18, 1776. She was married to George Monson and worked professionally in the field of botany.", "Lady Anne Monson, born in England, was a botanist. She was married to George Monson and died on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | spouse | George_Monson, Lady_Anne_Monson | professionalField | Botany", "doc_id": 1582, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ltd.\nThe following is a list of the books I have read.\nThe following is a list of the books I have listened to.\nThe following is a list of the books I have watched.\nThe following is a list of the books I have played.\nThe following is a list of the books I have written.\nThe following is a list of the books I have edited.\nThe following is a list of the books I have translated.\nThe following is a list of the books I have written.\nThe following is a list of the books I have translated.\nThe following is a list of the books I have written.\nThe following is a list of the books I have edited.\nThe following is a list of the books I have written.\nThe following is a list of the books I have translated.\nThe following is a list of the books I have written.\nThe following is a list of the books I have edited.\nThe following is a list of the books I have written.\nThe following is a list of the books I have translated.\nThe following is a list of the books I have written.\nThe following is a list of the books I have edited", "target": ["Bootleg Series Volume 1: The Quine Tapes, released by the record label Polydor Records, was preceded by the album Squeeze.", "The Quine Tapes was preceded by Squeeze by Velvet Underground both for Bootleg Series Volume 1, which was recorded under the Polydor Records record label.", "The Bootleg Series Volume I: The Quine Tapes was recorded through Polydor Records and preceded by the Velvet Underground and album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records", "doc_id": 1675, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Wharton_Tiers.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence", "target": ["Wharton Tiers is the producer of Take it Off.", "Wharton Tiers produced the album titled \u201cTake it Off!\u201d.", "Wharton Tiers is the producer of Take It Off!"], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTake_It_Off! | producer | Wharton_Tiers", "doc_id": 803, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams", "target": ["The 11th Mississippi Infantry Monument was established in the year 2000 in Adams County, Pennsylvania and falls under the category of Contributing property. Adams County has Cumberland County, Pennsylvania to its north.", "A monument to the 11th Mississippi Infantry was erected in 2000 in Adams County, Pennsylvania which has Pennsylvania's Cumberland County is to the north. The 11th Mississippi Infantry Monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument, which is in Adams County, Pennsylvania, was established in 2000 and is categorized as a Contributing Property. Cumberland county, Pennsylvania is to the north of Adams County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 1179, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f", "target": ["Grigory Neujmin's date of death was December 17, 1946.", "Grigory Neujmin died on the 17th of December 1946.", "Grigory Neujmin died on Dec 17, 1946."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGrigory_Neujmin | deathDate | 1946-12-17", "doc_id": 214, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0,", "target": ["Super Capers is a 98 minute film with a $2000000.0 budget. It stars Tom Sizemore and Michael Rooker, and was written and directed by Ray Griggs.", "Super Capers is a 98 minute movie starring Michael Rooker and Tom Sizemore. It was written and directed by Ray Griggs. It had a budget of $2,000,000.", "The 98 minute film Super Capers had a budget of 2 million dollars. It was written and directed by Ray Griggs. It starred Tom Sizemore and also featured Michael Rooker."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | budget | 2000000.0, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | runtime | 98.0", "doc_id": 37, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| airport | Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Alcobendas | country | Spain | airport | Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Alcobendas | country | Spain | airport | Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Length | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport |", "target": ["The ENAIRE-operated Adolfo Suarez Madrid-Barajas Airport is located in Alcobendas, Spain, elevation 610.0 meters above sea level. 14R/32L, the runway, has a length of 4349.", "Adolfo Suarez Madrid-Barajas Airport (operated by ENAIRE, in Alcobendas, Spain) is 610.0 metres above sea level. Its runway is called 14R/32L which is 4349.0 metres long.", "Adolfo Su\u00e1rez Madrid-Barajas Airport in Alcobendas, Spain is 610 metres above sea level and has a runway named 14R/32L that is 4349 metres long. ENAIRE is the operating organization for the airport."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Alcobendas | country | Spain", "doc_id": 384, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| followedBy | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly_album) | Afterplay (Brian_Kelly", "target": ["Expect a Miracle was followed by Afterplay by Brian Kelly.", "Expect a Miracle was followed by Brian Kelly's Afterplay album.", "Expect A Miracle is followed by the album Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 1389, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Happy_Xmas_(War_Is_Over), Mermaid_(Train_song) | recordLabel | Columbia_Records, Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over), Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | recordLabel | Sony", "target": ["The Train song Mermaid (Columbia Records/Sony Music Entertainment) was followed by the release of John Lennon song Imagine and Happy Xmas (War is Over).", "The Train song Mermaid was released by Columbia Records and Sony Music Entertainment record label. Imagine, a song by John Lennon followed Mermaid which again was followed by the release of the song Happy Xmas (War Is Over).", "Mermaid by Train was released under the Columbia Records/Sony Music Entertainment record labels. This was followed by the John Lennon song Imagine, succeeded by his hit Happy Xmas (War is Over)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records, Imagine_(John_Lennon_song) | followedBy | Happy_Xmas_(War_Is_Over), Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 466, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(film) | Big_Hero_6_(", "target": ["Walt Disney Studios Motion pictures distributed Big Hero 6 film, where Baymax is a character.", "One character in the film Big Hero 6 (distributed by Walt Disney Studios Motion Pictures) was Baymax.", "Walt Disney Studios Motion Pictures is the distributor of Big Hero 6 (film), where one of the characters is Baymax."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBig_Hero_6_(film) | distributor | Walt_Disney_Studios_Motion_Pictures, Baymax | series | Big_Hero_6_(film)", "doc_id": 881, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| is a city in the U.S. state of Texas. It is the county seat of Nueces County. The population was 5,945 at the 2010 census.\nThe city is named after the Darlington County, England, area where the first settlers came from.\nThe city is located in the Rio Grande Valley, which is a major agricultural region of the United States.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track.\nThe city is home to the Darlington Raceway, a NASCAR Sprint Cup Series track", "target": ["The Darlington town has an area code of 01325.", "The telephone area code for Darlington is 01325.", "The area code in Darlington is 01325."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarlington | areaCode | 01325", "doc_id": 11, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | cityServed | city", "target": ["The place served by the Bedford Aerodrome is the Bedford Autodrome which has a runway with the length of 1095.0.", "Bedford Aerodrome which has a runway length of 1,095 has served the Bedford Autodrome.", "The Bedford Aerodrome serves the Bedford Autodrome and has a runway length of 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome", "doc_id": 1692, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_personnel | non_performing_", "target": ["The movie English Without Tears' released on July 28, 1994. Produced by Anatole de Grunwald, it also featured Nicholas Brodszky's music compositions while he also worked as part of the non-performing staff.", "Released on 07-28-1944, \"English Without Tears\" was produced by Anatole de Grunwald. Although Nicholas Brodszky has no background in performing, he composed the music for the film.", "On July 28, 1994, a film produced by Anatole de Grunwald called English Without Tears released, featuring Nicholas Brodszky as both part of the non-performing personnel and composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | musicComposer | Nicholas_Brodszky, Nicholas_Brodszky | background | non_performing_personnel", "doc_id": 1057, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"\nPhilippines | leader | Leni_Robredo | \"I will not be a puppet\"", "target": ["Leni Robredo is the leader of the Philippines.", "Leni Robredo is a Filipino leader.", "The leader of the Philippines is Leni Robredo.", "The name of the leader of the Philippines is Leni Robredo."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPhilippines | leader | Leni_Robredo", "doc_id": 277, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusionGenre | Baroque_pop | musicFusion", "target": ["Baroque pop is a fusion genre which includes some elements of pop rock, an example of which is the Train song by Mermaid .", "Mermaid, released by the band train, is a song in the pop rock genre which also includes the fusion genre Baroque pop.", "Mermaid, a song by the band Train, belongs to the genre of pop rock. An offshoot of pop rock is the fusion genre Baroque pop."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Pop_rock | musicFusionGenre | Baroque_pop", "doc_id": 262, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf |", "target": ["Ciudad Ayala is a city which is part of Morelos in Mexico and the metropolitan area has a population of 1777539. Its government is council-manager and the city has a UTC offset of -6.", "Ciudad Ayala is a part of Morelos and is in the country of Mexico. The population of the metropolitan area is 1,777,539 and is governed by a council-manager government. Their UTC offset is -6.", "Ciudad Ayala part of Morelos in Mexico with population of 1,777,539 falls into UTC offset -6 time zone. The type of government here is called the council-manager government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico", "doc_id": 674, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Gdynia,_Poland, Piotr_Hallmann | height, Gdynia,_Poland, Piotr_Hallmann | age, Gdynia,_Poland, Piotr_Hallmann | education, Gdynia,_Poland, Piotr_Hallmann | occupation, Gdynia,_Poland, Piotr_Hallmann | interests, Gdynia,_Poland, Piotr_Hallmann | religion, Gdynia,_Poland, Piotr_Hallmann | favorite things, Gdynia,_Poland, Piotr_Hallmann | dislikes, Gdynia,_Poland, Piotr_Hallmann | goals, Gdynia,_Poland, Piotr_Hallmann | opinions, Gdynia,_Poland, Piotr_Hallmann | favorite books, Gdynia,_Poland, Piotr_Hallmann | movies, Gdynia,_Poland, Piotr_Hallmann | music, Gdynia,_Poland, Piotr", "target": ["Piotr Hallmann who weighs 70.308 kg was born in Gdynia, Poland which has the Central European timezone.", "The 70.308 kg Piotr Hallmann was born in Gdynia, Poland which is on Central European Time.", "Piotr Hallmann weighs 70.308kg and was born in Gdynia, Poland, which is in the Central European timezone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthPlace | Gdynia,_Poland, Piotr_Hallmann | weight | 70.308, Gdynia,_Poland | timeZone | Central_European_Time", "doc_id": 426, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Records | location | London, UK | recordLabel | Polydor_Rec", "target": ["The compilation album Andy Warhol's Velvet Underground Featuring Nico was followed by The Velvet Underground album Squeeze, which was followed by The Bootleg Series Volume 1: The Quine Tapes, recorded through Polydor Records in London.", "The Bootleg Series Volume I: The Quine Tapes released by Polydor Records ( London) was preceded by the album Squeeze which itself was preceded by the album Andy Warhol's Velvet Underground Featuring Nico.", "The Velvet Underground made the album called \u201cAndy Warhol's Velvet Underground Featuring Nico\u201d then Squeeze then Bootleg Series Volume 1: The Quine Tapes. The latter was recorded under the Polydor Records record label in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Squeeze_(The_Velvet_Underground_album) | precededBy | Andy_Warhol's_Velvet_Underground_Featuring_Nico, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Polydor_Records | location | London", "doc_id": 634, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan", "target": ["American, Alan Shepard, who was born in New Hampshire on Nov 18, 1923 and died in California, was a test pilot. He served as the Chief of the Astronaut Office in 1963, and was awarded the Distinguished Service Medal in the United States Navy.", "Alan Shepard (national of the United States) was born on November 18th, 1923, in New Hampshire. He was the chief Astronaut office in 1963, his occupation was a test pilot. He was awarded the Distinguished service medal. He died in California.", "Alan Shepard, test pilot and 1963 Chief of the Astronaut Office, was awarded the Distinguished Service Medal by the United States Navy. Shepard, a United States National, was born in New Hampshire in November 18, 1923 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | occupation | Test_pilot, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1716, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| foundationPlace | La_Crosse,_Wisconsin, La_Crosse,_Wisconsin | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTrane | foundationTr", "target": ["Trane, which was founded on January 1, 1913 in La Crosse, Wisconsin (a city 204 meters above sea level) and has a revenue of $10,264,000,000.", "Trane was founded on 1-1-1913 in LaCrosse, Wisconsin, and has revenue of $10,264,000,000. LaCrosse is 204 meters above sea level.", "Trane, with a revenue of $10,264,000,000.00, was founded on January 1, 1913 in La Crosse, Wisconsin. La Crosse sits 204 meters above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrane | foundationPlace | La_Crosse,_Wisconsin, La_Crosse,_Wisconsin | elevationAboveTheSeaLevel | 204.0, Trane | revenue | 10264000000, Trane | foundingDate | 1913-01-01", "doc_id": 1048, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | noise | rock | punk | noise | rock | punk | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise | rock | noise |", "target": ["Turn Me On by Honeymoon Killers, a noise rock and punk blues genre, has a runtime of 35.1 minutes. Its producers are Honeymoon Killers themselves and Wharton Tiers.", "In the genre of punk blues, the Honeymoon Killers' \"Turn Me On\" is a 35 minutes 10 seconds example of noise rock produced by Wharton Tiers for this American band. The band also participated in the production.", "The American noise rock band the Honeymoon Killers, self-produced their punk blues album Turn Me On. Wharton Tiers was the producer and the album runs for 35.1 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 261, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "1635:_The_Bavarian_Crisis | author | Eric_Flint, 1635:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1636:_The_Bavarian_Crisis | author | Eric_Flint, 1636:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1637:_The_Bavarian_Crisis | author | Eric_Flint, 1637:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1638:_The_Bavarian_Crisis | author | Eric_Flint, 1638:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1639:_The_Bavarian_Crisis | author | Eric_Flint, 1639:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The", "target": ["DeMarce short stories in the Grantville Gazettes preceded 1634: The Bavarian Crisis. Its author is Eric Flint.", "1634: The Bavarian Crisis was written by Eric Flint and DeMarce, who had also written short stories for the Grantville Gazettes.", "DeMarce short stories in the Grantville Gazettes preceded 1634: The Bavarian Crisis, written by Eric Flint."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"", "doc_id": 721, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (millimetres) | stroke | 1.0 (mill", "target": ["ALCO RS-3, which is 17068.8 millimetres long, has a V12 engine and has 12 cylinders.", "The length of ALCO RS-3 is 17068.8 millimetres. It has a cylinder count of 12 and a V12 engine.", "The ALCO RS-3, which is 17068.8 milometers long, has a V12 engine and a cylinder count of 12."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 830, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer | Terence_Rattigan | English_Without_Tears | writer |", "target": ["Anatole Grunwald, born on December 25th 1910 is the coauthor of English Without Tears alongside Terence Rattigan.", "Terence Rattigan and Anatole de Grunwald (birthdate 25-12-1910) are the writers of English Without Tears.", "Anatole de Grunwald, born December 25, 1910, and Terence Rattigan wrote English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAnatole_de_Grunwald | birthDate | 1910-12-25, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | writer | Terence_Rattigan", "doc_id": 776, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010 | cityMetro | 617.9.2010", "target": ["The population in the Ciudad Ayala metropolitan area is 1777539.", "The population of the metropolitan area of Ciudad Ayala is 1,777,539."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539", "doc_id": 621, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| width | 5.5 (centimetres) | height | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (centimetres) | height | 1.5 (centimetres) | width | 1.5 (centimetres) | height | 1.5 (cent", "target": ["American Locomotive Company produced the 17068.8 millimeter long ALCO RS-3 from May 1950 until August 1956.", "The American Locomotive Company produced the 17068.8 millimetres long ALCO RS-3 between May 1950 and August 1956.", "The ALCO RS-3 which had a length of 17068.8 millimeters, was produced between May 1950 and August 1956 by the American Locomotive Company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | American_Locomotive_Company, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1007, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The bodyStyle is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car. It is a style of the car", "target": ["The Pontiac Rageous was a car with a coupe body style.", "The Pontiac Rageous has a coupe body style.", "The Pontiac Rageous is a coupe."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | bodyStyle | Coupe", "doc_id": 1453, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age, height, weight, education, family, career, net worth, awards, achievements, quotations, photos, videos, blog, twitter, Facebook, Instagram, Pinterest, Google+ | religion, politics, philosophy, education, books, movies, music, travel, hobbies, interests, quotes, quotes about life, quotes about love, quotes about life, quotes about love quotes, quotes about life quotes, quotes about love quotes, quotes about life quotes, quotes about love quotes, quotes about life quotes, quotes about love quotes, quotes about life quotes, quotes about love quotes, quotes about life quotes, quotes about life quotes, quotes about love quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about life quotes, quotes about", "target": ["Lady Anne Monson was born in Darlington and currently resides in India. India was founded on the 26th of January in 1950 and is currently lead by a President.", "Lady Anne Monson was born in Darlington and resides in India. India was was founded on January 26, 1950 and is led by a president.", "Lady Anne Monson (born in Darlington) resided in India for most of her life. India was founded on January 26th, 1950 and its leader is called the President."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | residence | India, India | leaderTitle | President, Lady_Anne_Monson | birthPlace | Darlington, India | foundingDate | 1950-01-26", "doc_id": 180, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Killers (American_band) | producer | The_Honeymoon_Kill", "target": ["The Honeymoon Killers is the producer of the Turn Me On album.", "The Honeymoon Killers are the producers of the album Turn Me On.", "The American band, the Honeymoon Killers, self-produced its album called Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 906, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Ph.D.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show", "target": ["Michael Rooker was born in the year 1955.", "Michael Rooker was born in 1955."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMichael_Rooker | birthYear | 1955-01-01", "doc_id": 669, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the_South_Seas | actor | McVeagh_of_the", "target": ["McVeagh of the South Seas is written and directed by Harry Carey and Cyril Bruce. Carey was in the movie and born in 1878. The film is in the IMDb under the I.D. of 0004319.", "Directed by Cyril Bruce, McVeagh of the South Seas stars and was written by Harry Carey. Its IMDb ID is 0004319.", "The writer and the actor Harry Carey of the movie McVeagh of the South Seas (IMDb id: 0004319), which was directed by Cyril Bruce, was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878)", "doc_id": 1641, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11.5, 1147_Stavropolis | absolute magnitude | 11", "target": ["1147 Stavropolis has an absolute magnitude of 11.5. Its apoapsis is 418476000000.0 and the orbital period of the asteroid is 1249.6 days.", "The absolute magnitude of 1147 Stavropolis is 11.5. The orbital period of the asteroid is 1249.6 days, and the apoapsis is 418476000000.0.", "The asteroid 1147 Stavropolis has an apoapsis of 418476000000.0 AU, an orbital period of 1249.6, and an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 312, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| airport | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | runway | runwayName | \"14", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas , Madrid, Spain operated by ENAIRE has a runway called 14R/32L with the length of 4,349.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is named 14R/32L and has a length of 4,349 meters.", "Adolfo Suarez Madrid-Barajas Airport is operated by ENAIRE which is located in Alcobendas in Madrid,Spain. The runway length and the name of the runway of the airport is 4349.0. and 14R/32L."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14R/32L\", ENAIRE | city | Madrid, Madrid | country | Spain", "doc_id": 246, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal | producer | Year_of_No_Light_album | genre | Sludge_metal,", "target": ["Nord, an album produced by Year of No Light, is in the sludge metal genre and was followed with the album Live at Roadburn 2008.", "Live at Roadburn 2008 was preceded by Nord, an album produced by Year of No Light, which is in the sludge metal genre.", "Nord, a sludge metal album recorded and produced by Year of No Light, was followed by their album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light", "doc_id": 1572, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante \"\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante \"\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante \"\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante \"\"\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league |", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense nicknamed as Asa Gigante play in the Campeonato Brasileiro S\u00e9rie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, also known as Asa Gigante, play in the Campeonato Brasileiro S\u00e9rie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense, nicknamed Asa Gigante, play in the Campeonato Brasileiro S\u00e9rie C league."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"Asa Gigante ''\"", "doc_id": 1636, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_Paulo, S\u00e3o_", "target": ["Hypermarcas is located in Sao Paulo Brazil, and employs 10,252 people. They are an S.A. corporation, and own the subsidiary of Mantecorp. They had a net income of $108,600,000.", "Hypermarcas, a type of S.A corporation, is located in Sao Paulo, Brazil. It employs 10252 people, has a net income of 108,600,000, and has a subsidiary called Mantecorp.", "Hypermarcas S.A. (a Brazilian company located in S\u00e3o Paulo) is a 10252 employee enterprise with net income of 108,600,000. The company has a subsidiary Mantecorp."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | Brazil, Hypermarcas | type | S.A._(corporation), Hypermarcas | subsidiary | Mantecorp, Hypermarcas | netIncome | 108600000, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | location | S\u00e3o_Paulo", "doc_id": 1514, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos, Mexico.\nCiudad_Ayala |", "target": ["Ciudad Ayala is in Morelos and has a population density of 1604.", "The population density of Ciudad Ayala which is part of Morelos is 1604.0.", "Being a part of Morelos, Ciudad Ayala has a population density of 1604.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | isPartOf | Morelos", "doc_id": 1751, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGen", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien and was released on July 29, 1954. The Fellowship of the Ring is considered fantasy and was published by George Allen & Unwin. The sequel to The Fellowship of the Ring was The Two Towers.", "J.R.R. Tolkien is the author of The Fellowship of the Ring released on July 29, 1954. It is a fantasy book published by George Allen & Unwin. The novel was followed by The Two Towers.", "The Fellowship of the Ring belongs to the fantasy genre. Its author is J.R.R. Tolkien. It was published on July 29, 1954 by George Allen & Unwin. It was followed by The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 24, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| year | duration | Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road", "target": ["The Acharya Institute of Technology was established in the year 2000 and its campus address is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090 and it is affiliated with Visvesvaraya Technological University.", "Acharya Institute of Technology, established in 2000 and affiliated with Visvesvaraya Technological University, is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, in Bangalore \u2013 560090.", "The Acharya Institute of Technology, established in 2000 and affiliated with the Visvesvaraya Technological University, is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, in Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | established | 2000", "doc_id": 1327, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Family | Religion | Ethnicity | Nationality | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth | Ethnicity | Religion | Ethnicity | Gender | Age | Date of Birth |", "target": ["In Turkey where Nurhan Atasoy was born the leader is called the Prime Minister."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurkey | leaderTitle | \"Prime Minister\", Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 207, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType | governmentType", "target": ["Ciudad Ayala is a city with the population density of 1604.0. It falls into UTC offset -6 time zone and uses a type of government called council-manager government.", "The city of Ciudad Ayala has the population density of 1604.0, it has the government type council-manager with the offset of -6.", "Ciudad Ayala is a city with a population density of 1604, a UTC offset of -6 and has a council-manager as their government type."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126", "doc_id": 279, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "kB | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Piotr Hallmann weighs 70.308 kilograms.", "Piotr Hallmann weighs 70.308kg.", "Piotr Hallmann\u2019s weight is 70.308 kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | weight | 70.308", "doc_id": 728, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Grozny, FC_Terek_Grozny | coach | FC_Terek_Groz", "target": ["Aleksandr Prudnikov played for the youth FC Spartak Moscow previously, as well as the FC Terek Grozny which is managed by Rashid Rakhimov.", "Aleksandr Prudnikov was previously a member of the youth side of FC Spartak Moscow and currently is on the FC Terek Grozny club which is managed by Rashid Rakhimov.", "Aleksandr Prudnikov plays for FC Terek Grozny and played for FC Spartak Moscow's youth team. His manager is Rashid Rakhimov."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Terek_Grozny, FC_Terek_Grozny | manager | Rashid_Rakhimov", "doc_id": 834, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use", "target": ["Mermaid is a song by Train released on the Columbia Records record label.", "The song Mermaid is on Columbia Records.", "The Train song Mermaid was released under the record label Columbia Records."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records", "doc_id": 874, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country | Spain | airport | runway | runway length | 3500.0, Madrid | country", "target": ["ENAIRE, based in Madrid, Spain, is the operating organisation for Adolfo Suarez Madrid-Barajas airport which is in Alcobendas. The runway length at the airport is 3500.", "Located in Madrid, Spain, ENAIRE operates the Adolfo Suarez Madrid-Barajas Airport in Alcobendas which reports a runway length of 3,500.", "Adolfo Suarez Madrid-Barajas Airport, operated by ENAIRE, is located in Alcobendas while ENAIRE is located in Madrid, Spain. The Airport's runway length is 3500."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Madrid | country | Spain", "doc_id": 42, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| lat/long|English|United States|Mexico|Mexico City, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone | lat/long|English|United States|Mexico|Mexico City, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone | lat/long|English|United States|Mexico|Mexico City, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone | lat/long|English|United States|Mexico|Mexico City, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone | lat/long|English|United States|Mexico|Mexico City, Mexico.\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala |", "target": ["Ciudad Ayala with a population density of 1604 is in the Pacific Standard Time Zone.", "Ciudad Ayala, which is in the Pacific Standard Time Zone, sports a population density of 1604.0.", "Ciudad Ayala is in the Pacific Standard Time Zone and has a population density of 1604."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 781, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous", "target": ["The Pontiac Rageous was produced in Michigan in 1997.", "The Pontiac Rageous went into production in Michigan in 1997 and ended the same year.", "Pontiac Rageous was first made in Michigan in 1997 and was last produced in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | productionEndYear | 1997", "doc_id": 1770, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cinematographer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | editor | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | production designer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | costume designer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | production designer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | art director | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | art director | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | art director | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | art director | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | art director | Louis_Levy", "target": ["It's Great to Be Young is a 1956 film that lasted for 94 minutes. The directors and music composers were Cyril Frankel and Louis Levy. It cost 282,838 pounds to produce the movie.", "\"It's Great to Be Young\" (1956) was directed by Cyril Frankel and is 94 minutes long. The movie contains music composed by Louis Levy, and made a whopping 282,838 pounds at the box office.", "The 94 minute film It's Great to Be Young (1956) which received \u00a3282,838, was directed by Cyril Frankel and Louis Levy was the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy", "doc_id": 1084, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | president | \"B.M. Reddy\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | president | \"B.M. Reddy\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | president | \"B.M. Reddy\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visves", "target": ["The All India Council for Technical Education which is located in Mumbai, was proud to give the Technical Campus status to the Acharya Institute of Technology. The president of the Acharya Institute of Technology is B. M. Reddy and it is affiliated with Visvesvaraya Technological University. The campus address for the Acharya Institute of Technology is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The President of Acharya Institute of Technology is B. M. Reddy which is affiliated with the Visvesvaraya Technological University. Its located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090. Acharya Institute of Technology was given the 'Technical Campus' status by All India Council for Technical Education located in Mumbai."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | president | \"B.M. Reddy\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 374, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of_Mexico | State_of", "target": ["With a total area of 1972550.0, the country of Mexico has a state called Morelos. One of its cities is named Ciudad Ayala.", "Ciudad Ayala is a part of Morelos which is a state in Mexico. The total area of Mexico is 1972550.0.", "Ciudad Ayala is a part of the state of Morelos in the country of Mexico. Mexico has a total area of 1,972,550 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | country | Mexico, Mexico | areaTotal | 1972550.0, Ciudad_Ayala | isPartOf | Morelos, Morelos | type | States_of_Mexico", "doc_id": 176, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a", "target": ["\"Expect a Miracle\", with a total runtime of 54:56, and in which was preceded by the album, \"Pools of Light\", were both productions by the work of Brian Kelly.", "The 54.56 minutes Brian Kelly album Expect a miracle was preceded by the album Pools of Light.", "Expect a Miracle was produced by Brian Kelly and runs for 54:56 minutes. It is preceded by the album Pools of Light, also by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 334, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico is a dish found in Mexico served for dessert and cookie is also a dessert.", "Bionico and cookie are both desserts. Bionico is served at the dessert course in Mexico.", "Bionico is a dessert, which is found in Mexico. Cookie is also a type of dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Dessert | dishVariation | Cookie, Bionico | country | Mexico", "doc_id": 393, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | governmentType | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government, Ciudad_Ayala | government,", "target": ["Ciudad Ayala city has a population density of 1604.0 and its population in metropolitan area is 1,777,539. The city has an elevation of 1147.0 above sea level and uses the UTC offset -6 time zone. Ciudad Ayala uses a type of government called council-manager government and one of the leaders is called City Manager.", "Ciudad Ayala is a city; its government type is council manager and the leader title is city manager. The population in the Ciudad Ayala metropolitan area is 1777539, and the population density is 1604. It is 1147m above sea level and has a UTC offset of -6.", "Ciudad Ayala is a city. The population of its metropolitan area is 1,777,539 and the density is 1604.0. The government type is council-manager government and one of the leaders is the city manager. The UTC offset of the city is -6 and the elevation above the sea level is 1147.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0", "doc_id": 243, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | nationality | mother | father | nationality | country | city | state | zip | city | state | country | country | city | state | country | city | state | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | country | city | state | country | city | country | city | state | country | city | country | city | country | city | state | country", "target": ["American citizen Darinka Dentcheva was born on January 1st, 1958. After graduating from her alma mater Humboldt University, she began to work professionally in the field of Mathematical Optimization. This New Jersey resident is known for her work with stochastic programming, being heavily influenced by Andrzej Piotr Ruszczynski.", "American mathematician Darinka Dentcheva was born on January 1, 1958. Dentcheva graduated from Humboldt University in Berlin, Germany. Influenced by fellow mathematician, Andrzej Piotr Ruszczy\u0144ski, Dentcheva made contributions to the field of mathematical optimization, in particular, Stochastic programming. She resides in New Jersey.", "Darinka Dentcheva, a United States citizen with birth date January 1, 1958 is a mathematician influenced by Andrzej Piotr Ruszczy\u0144ski in the field of mathematical optimization and stochastic programming. She graduated from Humboldt University and resides in New Jersey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey", "doc_id": 1768, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete | Concrete |", "target": ["The runway surface of the Bedford Aerodrome is made of concrete.", "The Bedford Aerodrome runway surface is made out of concrete.", "Bedford Aerodrome has a runway surface made of concrete."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 1239, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Anatole_de_Grunwald, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Anatole_de_Grunwald, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Anatole_de_Grunwald, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without", "target": ["English Without Tears is an 89-minute film that was released on July 28th, 1944. It was written by Anatole de Grunwald and directed by Harold French. Nicholas Brodszky was the music composer while Alan Jaggs was the film editor.", "Anatole de Grunwald wrote the 89 minute movie English Without Tears which was directed by Harold French and edited by Alan Jaggs. The movie had Nicholas Brodszky as its music composer and was released on July 28, 1944.", "The movie English Without Tears, released in 1944, was directed by Harold French and edited by Alan Jaggs. It was written by Anatole de Grunwald and has a total running time of 89 minutes. Its music was composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | writer | Anatole_de_Grunwald", "doc_id": 331, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkey | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul |", "target": ["Nurhan Atasoy was born in Istanbul on January 1, 1934. He is a Turkish citizen who resides in Istanbul which falls in the Eastern European Summer Time time zone.", "Istanbul is a city in Turkey which has its summer time zone in the eastern European time zone. Nurhan Atasoy is a citizen of Turkey who was born on the first day of January in 1934 and has his residence situated in the city of Istanbul.", "Nurhan Atasoy, born 1-1-1934, is a citizen of Turkey and resides in Istanbul which is in the Eastern European Summer Time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | citizenship | Turkey, Istanbul | timeZone | Eastern_European_Summer_Time, Istanbul | timeZone | Eastern_European_Time, Nurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | residence | Istanbul", "doc_id": 512, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cinematographer | John_Mills, It's_Great_to_Be_Young_(1956_film) | production designer | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | production designer | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_Mills, It's_Great_to_Be_Young_(1956_film) | art director | John_M", "target": ["It's Great to Be Young is a 1956 film that stars Cecil Parker and John Mills. The length of the movie is 94 minutes and written by Ted Willis. It\u2019s edited by Max Benedict and the score is composed by Louis Levy.", "John Mills and Cecil Parker play the lead in the 94 minute movie It's Great to Be Young (released in 1956 and edited by Max Benedict), while Louis Levy is the music composer and Ted Willis is the writer.", "Ted Willis wrote the 1956 movie It's Great to Be Young starring John Mills and Cecil Parker. Louis Levy composed music for the 94 minute movie which was edited by Max Benedict."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis, It's_Great_to_Be_Young_(1956_film) | editing | Max_Benedict", "doc_id": 657, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John_Roberts | leader | John", "target": ["John Roberts is a leader in the United States, whereas Darinka Dentcheva only resides in the United States.", "Darinka Dentcheva's current residence is lead in part by John Roberts in the United States.", "Darinka Dentcheva's current residence is in the United States with one of its leaders John Roberts."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | residence | United_States, United_States | leader | John_Roberts", "doc_id": 517, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", punk, rock, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music, rock music", "target": ["Bootleg Series Volume I: The Quine Tapes's genre is rock, of which proto-punk is a musical subgenre.", "The album Bootleg Series Volume 1: The Quine Tapes fits into the Rock music genre, in the subgenre of \u2018Proto-punk\u2019.", "The Bootleg Series Volume I: The Quine Tapes are in the rock music genre of which proto-punk is a subgenre of."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Rock_music | musicSubgenre | Proto-punk", "doc_id": 596, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfGraduates | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_of_Burgundy | numberOfProfessors | 4200, University_of_Burgundy | numberOfAssistants | 4200, University_", "target": ["The University of Burgundy, located in the city of Dijon (postal code 21000), has 16,800 undergraduate students and 2,900 staff members.", "16800 undergraduate students and 2900 staff members call the University of Burgundy home. The university, located in Dijon, has the postal code 21000.", "The University of Burgundy, which has 16800 undergraduate students and 2900 staff members, is located in Dijon whose postal code is 21000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | city | Dijon, Dijon | postalCode | 21000, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900", "doc_id": 1146, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country | United_States | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country | United_States | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country | United_States | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country | United_States | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country | United_States | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington, D.C.\nAmeriGas | country |", "target": ["Although the capital of the United States is Washington, D.C., AmeriGas chose to locate and actively work in King of Prussia, Pennsylvania.", "AmeriGas is located in King of Prussia, Pennsylvania and works in the United States whose capital is Washington D.C..", "Washington D.C, is the capital of the United States that is the home country to AmeriGas located in King of Prussia, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | city | King_of_Prussia,_Pennsylvania, United_States | capital | Washington,_D.C., AmeriGas | country | United_States", "doc_id": 321, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkey | nationality, Nurhan_Atasoy | religion, Nurhan_Atasoy | occupation, Nurhan_Atasoy | education, Nurhan_Atasoy | hobbies, Nurhan_Atasoy | family, Nurhan_Atasoy | occupation, Nurhan_Atasoy | hobbies, Nurhan_Atasoy | family, Nurhan_Atasoy | occupation, Nurhan_Atasoy | religion, Nurhan_Atasoy | family, Nurhan_Atasoy | religion, Nurhan_Atasoy | family, Nurhan_Atasoy | religion, Nurhan_Atasoy | family, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | family, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | family, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan_Atasoy | religion, Nurhan", "target": ["Nurhan Atasoy was born and currently resides in Turkey, a unitary state whose area is comprised by 1.3 percent water, where he currently resides in the city of Istanbul.", "Nurhan Atasoy, born in Turkey and currently resides there, once resided in Istanbul of the country Turkey which has a unitary form of government and 1.3 percentage of its area covered by water.", "Nurhan Atasoy (born in Turkey) lives in Istanbul. 1.3 percent of the area of Turkey, an unitary state, is under water."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Turkey | governmentType | Unitary_state, Nurhan_Atasoy | residence | Turkey, Turkey | percentageOfAreaWater | 1.3, Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 932, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bond", "target": ["Olga Bondareva is known for Bondareva-Shapley theorem. She was born on April, 1937 and her birth name was Olga Nikolaevna Bondareva.", "Olga Bondareva (born Olga Nikolaevna Bondareva, on April 27, 1937) is known for the Bondareva-Shapley theorem.", "With a date of birth of April 27, 1937, Olga Bondareva, whose given name is Olga Nikolaevna Bondareva, is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"", "doc_id": 986, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfProfessors | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssist", "target": ["The University of Burgundy has 16800 undergraduate students, 2900 staff members, 27400 students, and 1299 doctoral students.", "The University of Burgundy has a staff of 2900 members. The number of students currently in attendance is 27400, including 16800 undergraduate students and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 559, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most", "target": ["Hypermarcas, a type of S.A. (corporation), was founded on January 1, 2001, and has a subsidiary called Mantecorp.", "S.A. corporation Hypermarcas, which was founded on January 1st, 2001, has a subsidiary called Mantecorp.", "Mantecorp is a subsidiary of Hypermarcas, which is an S.A. corporation founded on January 1, 2001."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A._(corporation), Hypermarcas | subsidiary | Mantecorp", "doc_id": 1551, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfUnder", "target": ["There are 16800 undergraduate with 1299 doctoral students at the University of Burgundy.", "The University of Burgundy has 16,800 undergraduate students, and the number of doctoral students is 1299.", "The University of Burgundy has 16800 undergraduate students and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 1647, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_", "target": ["Darinka Dentcheva's professional field is Mathematical optimization, particularly with stochastic programming.", "Darinka Dentcheva was a mathematical optimization professional, and known for Stochastic programming.", "Darinka Dentcheva is a mathematician working in the field of mathematical optimization who is known for her work with stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 1491, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | producer | John_Barker, English_Without_Tears | editor | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music | John_Barker, English_Without_Tears | music |", "target": ["The music of the film English Without Tears is composed by Nicholas Brodszky with Harold French as the director.", "Nicholas Brodszky composed songs in English Without Tears, which was directed by Harold French.", "English Without Tears, directed by Harold French, features music composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | director | Harold_French", "doc_id": 861, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| noise_rock | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise_pop | noise", "target": ["Noise pop is a fusion genre, having elements from noise rock, among other things.", "Noise pop is a fusion genre of noise rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNoise_rock | musicFusionGenre | Noise_pop", "doc_id": 998, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| length | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.8 m | height | 1.8 m | width | 1.", "target": ["The American Locomotive Company built the ALCO RS-3 which was produced between May 1950 and August 1956. The ALCO RS-3 has a diesel-electric transmission and is 17068.8 millimetres in length.", "The length of the ALCO RS-3 is 17068.8 millimetres. It has a diesel-electric transmission. It was built and produced between May 1950 and August 1956 by the American Locomotive company.", "The ALCO RS-3 was built by the American Locomotive Company and produced between May 1950 and August 1956. It has a diesel-electric transmission and has a length of 17068.8 millimetres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | builder | American_Locomotive_Company, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 924, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany.", "target": ["Humboldt University is Darinka Dentcheva's alma mater.", "Humboldt University is the alma mater of Darinka Dentcheva.", "Darinka Dentcheva's alma mater is Humboldt University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 1424, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | editor | William_B.C.G.\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editor | William_B.C.G.\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editor | William_B.C.G.\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | editor | William_B", "target": ["Released on 28th July 1944 the 89 minutes long film, \"English Without Tears, \" was directed by Harold French, produced by Anatole de Grunwald, while the songs in the film were composed by Nicholas Brodszky.", "The movie English Without Tears was released on July 28, 1944. Nicholas Brodszky composed the music, while Harold French directed and Anatole de Grunwald produced the 89 minute film.", "The 89 minute film English Without Tears, released on 1944-07-28, was directed by Harold French and produced by Anatole de Grunwald. Nicholas Brodszky composed the music for English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 323, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | death", "target": ["John Mills had a main role in the 1956 film It's Great to Be Young, starring alongside Cecil Parker. Mills died in Denham, Buckinghamshire.", "It's Great to Be Young (1956) is a movie starring Cecil Parker. It also stars John Mills, who later died in Denham, Buckinghamshire.", "John Mills and Cecil Parker played the leading roles in the movie 'It's Great to Be Young', released in 1956. J. Mills later died in Denham, Buckinghamshire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, John_Mills | deathPlace | Denham,_Buckinghamshire", "doc_id": 1630, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock | rock", "target": ["The genre of Turn Me On is punk blues.", "Turn Me On is a punk blues album.", "Punk blues is the genre of the album Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues", "doc_id": 624, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League |", "target": ["Aleksandr Prudnikov (born February 24th, 1989) played at the Otkrytiye Arena for FC Spartak Moscow.", "Aleksandr Prudnikov was born 1980-02-24 and he plays for FC Spartak Moscow whose home ground is Otkrytiye Arena.", "Aleksandr Prudnikov, who was born on the 24th of February 1989, plays for FC Spartak Moscow whose ground is the Otkrytiye Arena."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | birthDate | 1989-02-24, FC_Spartak_Moscow | ground | Otkrytiye_Arena, Aleksandr_Prudnikov | club | FC_Spartak_Moscow", "doc_id": 1581, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| band | album | song | video | review | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album | album", "target": ["Nord is an album in the post metal genre by Year of No Light.", "The Year of No Light album Nord is in the post-metal genre.", "The genre of the album Nord is post-metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 1350, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall in Williamsburg, Virginia.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located in Williamsburg, Virginia."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia", "doc_id": 703, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Bionico, a dessert made of chopped Fruits, sour cream, condensed milk, granola, shredded coconut and raisins, is found in Mexico where the leader is Silvano Aureoles Conejo, and its inhabitants, the Mexicans, use peso as their currency.", "The main ingredients of Bionico are chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins. Bionico (a dish served for dessert) is a food found in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans led by Silvano Aureoles Conejo.", "Bionico is a dessert food found in Mexico which is made from sour cream, chopped fruits, condensed milk, granola, raisins and shredded coconut. Mexico is inhabited by Mexicans and the local currency is the peso. The leader of Mexico is Silvano Aureoles Conejo."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Mexico | leader | Silvano_Aureoles_Conejo, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Bionico | country | Mexico", "doc_id": 956, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_Monson | English, Lady_Anne_", "target": ["Lady Anne Monson, who was born in Darlington, died on 1776-02-18.", "Lady Anne Monson, who was born in Darlington, died on February 18, 1776.", "Lady Anne Monson, who was born in Darlington, died on February 18th, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 174, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Law", "target": ["Death on a Factory Farm is an HBO film that runs for 83 minutes. It is produced by Sarah Teale and Tom Simon, who is the director of the film as well. Geof Bartz is the editor and Jamie Lawrence composed the music.", "Death on a Factory Farm was a movie produced and directed by Tom Simon. It is broadcasted by HBO and has a runtime of 83 minutes. It is produced by Sarah Teale as well and edited by Geof Bartz. Jamie Lawrence composed the music.", "Death on a Factory Farm was produced and directed by Tom Simon, edited by Geof Bartz, composed by Jamie Lawrence and produced by Sarah Teale. The film, which was broadcasted by HBO, has a running time of 83 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Sarah_Teale", "doc_id": 500, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak", "target": ["Aleksandr Prudnikov was born on February 24, 1989. He played for FC Spartak Moscow's youth team and is now playing for FC Spartak Moscow.", "Aleksandr Prudnikov born on 1989-02-24 plays for and is a member of FC Spartak Moscow.", "Aleksandr Prudnikov was born on February 24, 1989. He plays for FC Spartak Moscow and previously played for the FC Spartak Moscow youth football club."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow", "doc_id": 307, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Bionico (served at the dessert course) is a food found in the region of Jalisco in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans.", "Bionico (a dessert) is a food found in the region of Jalisco in Mexico. The currency of Mexico is the peso inhabited by Mexicans.", "Bionico (a dish served for dessert) is a food from the region Jalisco in Mexico. The currency in Mexico is the Mexican peso, and the people living there are called Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Jalisco, Bionico | country | Mexico", "doc_id": 1609, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl, E-Vinyl", "target": ["Nord is a post metal genre band that is owned by record label Crucial Blast. The music was released on September 6, 2006. The first E-Vinyl that was ever created was the Year of No Light.", "The post metal genre album, Nord, by the band, Year of No Light, was released on June, 9, 2006. The Year of No Light's album, Nord has been released both by the record label, Crucial blast and by the E-Vinyl record label.", "The Year of No Light album Nord is in the post-metal genre, which was released on the Crucial Blast label on the date 2006-09-06 and the record was labelled by E-Vinyl."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl", "doc_id": 1278, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | occupation | family | height | weight | weight | height | weight | age | height | weight | education | occupation | family | height | weight | age | height | weight | education | occupation | family | height | weight | age | height | weight | education | occupation | family | height | weight | age | weight | age | height | weight | age | height | weight | age | height | weight | age | height | weight | age | weight | age | height | weight | age | height | weight | age | weight | age | height | weight | age | age | weight | age | height | weight | age | age | weight | age | age | height | weight | age | age | weight | age | age | height | weight | age | age | weight | age | age | height | weight | age | age | weight | age | age | age | weight | age | age | age | height | weight | age | age | age | weight | age | age | age | weight | age | age | age | weight | age | age | age | age | weight | age | age | age | age | weight | age | age | age | age", "target": ["Nurhan Atasoy, born January 1st, 1934, was of Turkish nationality.", "Nurhan Atasoy, who is of Turkish nationality, was born on the date 1934.01-01.", "Nurhan Atasoy, who was born on 1 January 1934, has a Turkish nationality."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | nationality | Turkish_people", "doc_id": 1624, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Reggae | stylisticOrigin | Ska, Mermaid_(Train_song) | genre | Reggae, Pop_rock | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock_music, Reggae | stylisticOrigin | Rock", "target": ["While pop rock can trace its stylistic roots back to rock music, Reggae music evolved out of different musical genre, known as ska. Interestingly, the Train song, Mermaid, belongs to the genre of pop rock, but is also considered to be of the reggae genre as well.", "Mermaid is a pop rock song by the band Train, the origins of pop rock is in rock music but the song is also in the reggae genre whose origin is ska.", "The Train song by Mermaid is from the pop rock and reggae music genre. Stylistic origins of reggae and pop rock are Ska and rock music respectively."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Reggae | stylisticOrigin | Ska, Mermaid_(Train_song) | genre | Reggae, Pop_rock | stylisticOrigin | Rock_music", "doc_id": 239, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathYear | age | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height |", "target": ["Adam West was born in the year 1928.", "Adam West was born in 1928."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdam_West | birthYear | 1928", "doc_id": 191, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_Crisis | author | Eric_Flint, 1634:_The_Bavarian_Crisis | language | English, 1634:_The_Bavarian_", "target": ["1634: The Bavarian Crisis was written in English by Eric Flint.", "1634: The Bavarian Crisis, written by Eric Flint, is in English.", "1634: The Bavarian Crisis was written, in English, by Eric Flint."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1634:_The_Bavarian_Crisis | language | English_language, 1634:_The_Bavarian_Crisis | author | Eric_Flint", "doc_id": 1289, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | year | release | tracklist | album art | tracklist | album cover | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art | tracklist | album art |", "target": ["The Honeymoon Killers both recorded and produced the album Turn Me On. This punk blues album is 35.1 minutes long.", "The album Turn Me On, a punk blues genre , by the Honeymoon Killers has a run time of 35.1 minutes. The Honeymoon Killers self-produced their album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 369, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| airport | Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway | 4349.0, Adolfo Su\u00e1rez_Madrid\u2013Barajas_Airport | runway", "target": ["Adolfo Su\u00e1rez Madrid Barajas Airport, located in Alcobendas, which is part of the community of Madrid, Spain and operated by ENAIRE, is 610 metres above sea level and has a runway that is 4349 metres long.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas, 610 meters above sea level. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is 4,349 meters long.", "Adolfo Suarez Madrid-Barajas Airport has an elevation of 610.0 metres above sea level and the runaway length is 4,349. It is in Alcobendas, operated by ENAIRE, in the city of Madrid, country of Spain."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Madrid | country | Spain", "doc_id": 1066, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "target": ["The 11th Mississippi Infantry Monument, erected in the year 2000, is in the municipality of Gettysburg in Pennsylvania. This municipality is in Adams County, Pennsylvania which has Carroll County Maryland to the southeast and Frederick County Maryland to the southwest. This monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument was established in 2000 in Adams County, Pennsylvania which has Frederick County, Maryland to its southwest and Carroll County, Maryland to its southeast. The monument is placed in the municipality of Gettysburg and is categorized as a Contributing Property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 430, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Ciudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"\nCiudad_Ayala | country", "target": ["Ciudad Ayala is in the country of Mexico and the President of the Senate is the leader title in Mexico.", "Ciudad Ayala is a city in Mexico, whose leader has the official title of President of the Senate.", "Ciudad Ayala is located in the country of Mexico led by \"President of the Senate\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | country | Mexico, Mexico | leaderTitle | \"President of the Senate\"", "doc_id": 1422, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United Kingdom.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and", "target": ["MotorSport Vision is located in the the city of Kent.", "MotorSport vision is in Kent.", "MotorSport Vision is located in the city of Kent, UK."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMotorSport_Vision | city | Kent", "doc_id": 867, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followedBy | 1970:_The_Velvet_Underground_Live_in_New_York | followed", "target": ["The album 1969: The Velvet Underground Live is preceded by the Velvet Underground album Squeeze, which was followed by The Quine Tapes.", "The Velvet Underground album Bootleg Series Volume 1: The Quine Tapes was preceded by the album Squeeze, which was followed by the live album 1969: The Velvet Underground Live.", "The Bootleg Series Volume I: The Quine Tapes is preceded by the Velvet Underground album Squeeze which was itself followed by the album 1969: The Velvet Underground Live."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Squeeze_(The_Velvet_Underground_album) | followedBy | 1969:_The_Velvet_Underground_Live", "doc_id": 5, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| leader | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur | T.S.Thakur", "target": ["India, at one time led by T.S. Thakur, was also where Lady Anne Monson lived most of her life.", "T.S. Thakur was the leader of India where Lady Anne Monson resided.", "T.S.Thakur is one of the leaders of India, which is where Lady Anne Monson currently resides."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | residence | India, India | leader | T._S._Thakur", "doc_id": 449, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | black metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | black metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year_", "target": ["Released on 2006-09-06, the Nord album was part of the post-metal genre of sludge metal. The Year of No Light produced the album and followed it up with Live at Roadburn 2008.", "The post-metal and sludge metal album Nord by The Year of No Light, produced by Year of No Light was released on September 6, 2008 and was preceded by the album Live at Roadburn 2008.", "The album Nord released in 06-09-2006 by Year of No Light is post metal and sludge metal genre. Year of No Light also the producers of their album Nord followed it with the album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 148, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | state | country | country | state | country | state | country | country | state | country | country | state | country | country | state | country | country | country | state | country | country | state | country | country | country | state | country | country | country | state | country | country | country | state | country | country | country | country | state | country | country | country | country | state | country | country | country | state | country | country | country | country | state | country | country | country | country | country | state | country | country | country | country | country | state | country | country | country | country | country", "target": ["Bionico (a dish served for dessert) is a food found in Guadalajara in Mexico. The currency in Mexico is the Mexican peso inhabited by Mexicans.", "Bionico (a dessert) is a food found in Guadalajara in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans.", "Bionico is a food found in Mexico and served at the dessert course. The dessert can be found in Guadalajara. The currency of Mexico (inhabited by Mexicans) is Peso."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | country | Mexico", "doc_id": 48, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-", "target": ["Ciudad Ayala city has a population density of 1604.0 and uses a type of government called council-manager government where the leader is called the governator.", "Ciudad Ayala government type in the city is council-manager and has a leader called the Governator. The population density in Ciudad Ayala is 1604.", "The population density of Ciudad Ayala is 1604.0 which uses a council-manager government where the leader is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator", "doc_id": 943, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the", "target": ["The Velvet Underground created the album Bootleg Series Volume 1: The Quine Tapes produced by The Velvet Underground which is 230.05 minutes long.", "Music group the Velvet Underground both produced and released The Bootleg Series Volume I: The Quine Tapes, which have a runtime of 230.05 minutes.", "The album Bootleg Series Volume 1: The Quine Tapes is produced by The Velvet underground and has a run time of 230:05."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 1743, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state", "target": ["Bionico is a food found in Mexico from the region Jalisco.", "Bionico is a found that is popular in the region of Jalisco, Mexico.", "Bionico is a food found in the Jalisco, Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | region | Jalisco, Bionico | country | Mexico", "doc_id": 990, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "|", "target": ["The key person at Universal Music Group is Lucian Grainge.", "Lucian Grainge is a key person in the Universal Music Group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversal_Music_Group | keyPerson | Lucian_Grainge", "doc_id": 217, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Bedford Aerodrome has an operating organization that is called the MotorSport Vision. It is located in Thurleigh. Its runway is named as \"08/26\" and its length is 1095. The ICAO location identifier is EGBF, and this aerodrome serves the Bedford Autodrome.", "The Bedford Aerodrome in Thurleigh serving the Bedford Autodrome, operated by MotorSport Vision, has a runway named 08/26 that has the runway length of 1095. The ICAO location identifier for the Bedford Aerodrome is EGBF.", "Bedford Aerodrome is located in Thurleigh. This airport serves the Bedford Autodrome and is operated by MotorSport Vision. The runway, called 08/26, is 1095 meters long. The ICAO location identifier for Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 1145, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkey, Nurhan_Atasoy | education | University, Nurhan_Atasoy | profession | profession, Nurhan_Atasoy | occupation, Nurhan_Atasoy | hobbies | religion, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | family, Nurhan_Atasoy | hobbies, Nurhan_Atasoy | occupation, Nurhan_Atasoy | profession, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | family, Nurhan_Atasoy | hobbies, Nurhan_Atasoy | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | marriage | religion, Nurhan_Atasoy | children, Nurhan_Atasoy | marriage | religion, Nurhan", "target": ["Nurhan Atasoy a Turkish national, residing in Tesvikiye, Turkey was born on January 1, 1934 in Turkey. He won the State Award for Superior Achievement.", "Nurhan Atasoy was born on January 1st, 1934, in Turkey. He is a Turkish citizen and still resides there, in Tesvikiye. Atasoy is a recipient of the State Award for Superior Achievement.", "Nurhan Atasoy was born in Turkey on January 1, 1934. He was awarded the State Award for Superior Achievement. Nurhan is still a citizen of Turkey and currently lives there in the Te\u015fvikiye neighborhood."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | citizenship | Turkey, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Te\u015fvikiye", "doc_id": 1174, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC +2:00.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to", "target": ["Gdynia, Poland follows the Central European Summer Time timezone.", "Gdynia, Poland is in the Central European Summer Time zone.", "The time zone for Gdynia, Poland is Central European summer time."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGdynia,_Poland | timeZone | Central_European_Summer_Time", "doc_id": 90, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | age, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner", "target": ["Aaron Turner is a post metal musician from the U.S. who plays the electric guitar, started performing in 1995 and is in the Lotus Eaters band.", "Aaron Turner is an American post-metal musician who has played electric guitar with the band Lotus Eaters. He started performing in 1995.", "Aaron Turner was a post-metal singer who plays the electric guitar, was born in the United States, started performing in 1995, and is a musician in the Lotus Eaters band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | origin | United_States, Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1513, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel", "target": ["Liselotte Grschebina was a professional photographer who was born on May 2nd, 1908, Grschebina died in Petah Tikva.", "Liselotte Grschebina was born on May 2, 1908, was a professional photographer and died in Petah Tikva.", "Liselotte Grschebina was a photographer born on the 2nd May 1908 and who died in Petah Tikva."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | professionalField | Photographer, Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 891, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca located in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense with 17000 members, play in the 2015 Campeonato Brasileiro S\u00e9rie C league in Brazil.", "Agremiacao Sportiva Arapiraquense's ground is the Estadio Municipal Coaracy da Mata Fonseca in Arapiraca. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and play in the Campeonato Brasileiro S\u00e9rie C league and were in were in Campeonato Brasileiro Serie C in 2015 from Brazil.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense with 17000 members play in the Brazilian Campeonato Brasileiro S\u00e9rie C league and competed in the Brazil 2015 Campeonato Brasileiro S\u00e9rie C."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 764, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14 | deathPlace | California, Alan_Shepard | mission | Apollo_14", "target": ["Alan Shepard was a crew member of Apollo 14 who was born November 18th, 1923, in New Hampshire and died in California.", "Alan Shepard was born in New Hampshire on November 18, 1923. He was a crew member of Apollo 14, and died later on in California.", "Alan Shepard was born on Nov 18, 1923 in New Hampshire, was a member of the Apollo 14 crew and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | mission | Apollo_14", "doc_id": 50, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva |", "target": ["Olga Bondareva, also known as Olga Nikolaevna Bondareva, was born on April 27, 1937 and died in Saint Petersburg.", "Olga Bondareva, who was born \"Olga Nikolaevna Bondareva\" on April 27th, 1937, died in Saint Petersburg.", "Olga Bondareva, born \"Olga Nikolaevna Bondareva\" on April 27th, 1937, died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"", "doc_id": 1191, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27 | deathDate | 1703-05-27", "target": ["Founded on My 27th 1703, St Petersburg is led by a Governor. Olga Bondareva was a famous resident. Bondareva died in St Petersburg.", "Saint Petersburg (founded on 1703-05-27) is where Olga Bondareva was a governor and where died.", "Olga Bondareva died in Saint Petersburg, a city founded in May 27, 1703. Its leader is known as a Governor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | leaderTitle | Governor, Saint_Petersburg | foundingDate | 1703-05-27", "doc_id": 1442, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Que", "target": ["GMA New Media's headquarters are located in Quezon City in the Philippines, where Aquilino Pimentel III and Rodrigo Duterte are leaders of the country.", "Aquilino Pimentel III and Rodrigo Duterte are leaders of the Philippines, which is the location of GMA New Media in the city of Quezon.", "The Philippine company, GMA New Media, is located in Quezon City. Philippine leaders are Rodrigo Duterte and Aquilino Pimentel III."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | Philippines, Philippines | leader | Aquilino_Pimentel_III, Philippines | leader | Rodrigo_Duterte, GMA_New_Media | location | Quezon_City", "doc_id": 1117, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in", "target": ["Agremiacao Sportiva Arapiraquense (nickname: \"Alvinegro\") has 17000 members, playing in the Campeonato Brasileiro Serie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense plays in the Campeonato Brasileiro S\u00e9rie C league, has the nickname of Alvinegro and 17000 members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\"", "doc_id": 1087, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | height | 185.0 (cent", "target": ["Aleksandr Prudnikov who was born on 24th February 1989 and stands at 185.0 (centimetres) tall, played youth football at FC Spartak Moscow and currently plays for FC Amkar Perm football club.", "Aleksandr Prudnikov plays for FC Amkar Perm and is a member of the youth side of FC Spartak Moscow. He is 185 cm. tall and was born on February 24th, 1989.", "Aleksandr Prudnikov, born 1989-02-24, is 185 cm tall. He played for FC Spartak Moscow's youth team but now plays for FC Amkar Perm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow", "doc_id": 1523, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | deathname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birthname | 1726-01-01 | Lady_Anne_Monson | birth", "target": ["Lady Anne Monson was born in Darlington on January 1st, 1726.", "Lady Anne Monson was born in Darlington on January 1st,1726.", "Lady Anne Monson was born in Darlington on January 1, 1726."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01", "doc_id": 1148, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | ica", "target": ["The runway length of the Bedford Aerodrome in Thurleigh, is 1095 and it is operated by MotorSport Vision. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and it serves the Bedford Autodrome.", "The ICAO location identifier for the Bedford Aerodrome in Thurleigh, is EGBF and the runway length is 1095.The aerodrome serves the Bedford Autodrome and is operated by MotorSport Vision.", "Bedford Aerodrome in Thurleigh, serves the Bedford Autodrome and is run by MotorSport Vision. The runway length at the aerodrome is 1095 and its ICAO location identifier is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 342, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | \"Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin, Alexandra Badoi\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | \"Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin, Alexandra Bado", "target": ["Andrew Rayel's genre is trance music and it is associated with artists such as Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin, and Alexandra Badoi.", "Andrew Rayel, who is active in the trance musical genre, is associated with the following musical artists: Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin and Alexandra Badoi.", "Andrew Rayel is a Trance music performer associated with other artists like Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin and Alexandra Badoi."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrew_Rayel | genre | Trance_music, Andrew_Rayel | associatedBand/associatedMusicalArtist | \"Armin Van Buuren, Bobina, Mark Sixma, Jonathan Mendelsohn, Christian Burns, Jwaydan, Alexander Popov, Jano, Alexandre Bergheau, Jonny Rose, Sylvia Tosun, Lira Yin, Alexandra Badoi\"", "doc_id": 103, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 2012-01-01 | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter |", "target": ["Brandon Carter was born in England on January 1st, 1942. He is a physicist and a professional in the field of general relativity. Dennis William Sciama was his doctoral advisor. Carter is known for inventing the Carter constant and proving the no-hair theorem.", "Born in England on 01-01-1942, Brandon Carter is a professional in the field of general relativity who was previously supervised by Dennis William Sciama, his doctoral advisor. He is known for the Carter constant as well as the No-hair theorem.", "Brandon Carter, known for the Carter Constant and his contributions to the no-hair theorem, was born in England on the first day of the year, 1942. Carter specialised in General Relativity and his doctoral advisor was Dennis William Sciama."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 1544, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| rating | IMDb | user-contributed text.\nIt's_Great_to_Be_Young is a 1956 American comedy film directed by John M. Mills and written by Ted Willis. It stars John Mills, Cecil Parker, and John Carradine. The film was produced by John M. Mills and directed by John M. Mills.\nThe film was released on August 19, 1956, by United Artists.\nThe film was nominated for the Academy Award for Best Writing, Screenplay Based on Material from Another Medium (1956).\nThe film was released on DVD in the United States on August 19, 2007.\nThe film was released on DVD in the United Kingdom on August 19, 2007.\nThe film was released on DVD in the United States on August 19, 2007.\nThe film was released on DVD in the United Kingdom on August 19, 2007.\nThe film was released on DVD in the United States on August 19, 2007.\nThe film was released on DVD in the United Kingdom on August 19, 2007.\nThe film was released on DVD in the United States on August 19, 2007.\nThe film was released on DVD in the United States on August 19, 2007.", "target": ["John Mills, died in 2005, played leading role in the 1956 film It' Great to be young which was directed by Cyril Frankel. Cecil Parker also had a main role in the movie which was written by Ted Willis.", "It's Great to Be Young (1956) movie written by Ted Willis and directed by Cyril Frankel. The movie stars Cecil Parker and John Mills, who died in 2005.", "John Mills, who died in 2005, played a major role in It's Great to be Young, a 1956 film directed by Cyril Frankel. Cecil Parker starred in the film which was written by Ted Willis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis, It's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, John_Mills | deathYear | 2005", "doc_id": 907, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro_S\u00e9rie_C | Campeonato_Brasileiro", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense have 17000 members who play in the Campeonato Brasileiro S\u00e9rie C league.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense from the Campeonato Brasileiro S\u00e9rie C league has 17000 members.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league and have 17000 members."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 627, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Buzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"\nBuzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"", "target": ["Buzz Aldrin was born in Glen Ridge, New Jersey. In 1963 he got his Doctor of Science degree from MIT.", "Buzz Aldrin was born in Glen Ridge, New Jersey and graduated from the Massachusetts Institute of Technology with a Sc.D. in 1963.", "Buzz Aldrin born in Glen Ridge New Jersey graduated in 1963 from MIT with a Sc.D."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | birthPlace | Glen_Ridge,_New_Jersey, Buzz_Aldrin | almaMater | \"Massachusetts Institute of Technology, Sc.D. 1963\"", "doc_id": 982, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Carroll_County,_Maryland | hasToItsSouthwest | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthwest | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland | hasToItsNorthEast | Carroll_County,_Maryland, Carroll_County,_Maryland |", "target": ["The 11th Mississippi Infantry Monument was established in the year 2000 in the municipality of Gettysburg, Adams County, Pennsylvania. To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland.", "The 11th Mississippi Infantry Monument was established in 2000 and is located in Adams County, Pennsylvania, but is placed in the municipality of Gettysburg in Pennsylvania because Adams County, Pennsylvania has Carroll County, Maryland to its southeast.", "A monument to the 11th Mississippi Infantry was erected in 2000 and is located in Adams County, Pennsylvania, in the municipality of Gettysburg. Southeast of Adams County Pennsylvania is Carroll County Maryland."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland", "doc_id": 693, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 13th_Mississippi_Infantry_Monument | country | \"United States\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | location | Adams_County,_Penn", "target": ["The 11th Mississippi Infantry Monument is not in Mississippi, as one might expect, but rather in Gettysburg, Pennsylvania. Part of Adams County in the U.S. state of Pennsylvania, this location is near the Maryland counties of Frederick, to the southwest, and Carroll, to the southeast. The monument was established in 2000 and is categorized as a Contributing Property.", "Erected in 2000, the monument to the 11th Mississippi infantry is a contributing property based in the US, in Adams County, Pennsylvania, in the municipality of Gettysburg. Southwest of this is Frederick County, Maryland and Southeast is Carroll County.", "The 11th Mississippi Infantry Monument (established in 2000) is in the municipality of Gettysburg, Adams County in Pennsylvania which is located in the southwest to the Frederick County and southeast to the Carroll Country, Maryland. It falls under the category of Contributing property of the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 735, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear | 1947-01-01 | Max_Benedict | activeYearsStartYear |", "target": ["Max Benedict began his career in 1947.", "Max Benedict started his professional activities from the year 1947.", "Max Benedict has been active professionally since 1947."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMax_Benedict | activeYearsStartYear | 1947-01-01", "doc_id": 1489, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city", "target": ["BBC broadcast Bananaman, a show created by John Geering and starring Bill Oddie. Broadcasting House is a location owned by the BBC, the channel that broadcasts this show which first aired on 10/03/83.", "The show Bananaman, starring Bill Oddie, was first broadcast on 10/03/83 by the BBC, whose headquarters are Broadcasting House. The character Bananaman was created by John Geering.", "Created by John Geering and first broadcast in 1983, Bananaman starred the actor Bill Oddie. It was broadcast by the London based Broadcasting House, known as the BBC."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | John_Geering, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 105, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel, Israel, BirthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel", "target": ["Liselotte Grschebina was born on May 2, 1908 and died in Israel.", "Liselotte Grschebina was born on May 2nd, 1908 and died in Israel.", "Liselotte Grschebina was born on 1908-05-02 and died in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathPlace | Israel", "doc_id": 1416, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_Me_On_(album) | genre | noise | Turn_", "target": ["The punk blues album Turn Me On is a noise rock genre and has a run time of 35 minutes 10 seconds. Its producer is Wharton Tiers.", "The album Turn Me On whose genre is punk blues and noise rock has a run time of 35.1 minutes. It was produced by Wharton Tiers.", "Punk blues and Noise Rock are the genres of the album Turn Me On. The 35.1 minute album was produced by Wharton Tiers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 1038, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| musical.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Johnny Colt & Charlie Colin are former band members of Train, the band which sings the song Mermaid.", "Johnny Colt and Charlie Colin are the former member and former band mate of the band Train, which wrote the song Mermaid, respectively.", "Johnny Colt and Charlie Colin are former members of the band train, who own the song, Mermaid."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrain_(band) | formerBandMember | Johnny_Colt, Train_(band) | formerBandMember | Charlie_Colin, Mermaid_(Train_song) | musicalBand | Train_(band)", "doc_id": 1017, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | genre | Pop, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle | genre | Rock, Expect_a_Miracle |", "target": ["Expect a Miracle, a compilation album of instrumental music genre is of the easy listening genre and has a runtime of 54.56 minutes. It was followed by the album Afterplay.", "Expect a Miracle is an instrumental album in the easy listening genre. It is 54:56 minutes long and is a compilation album. Afterplay, by Brian Kelly was released after it.", "Expect a Miracle is an instrumental and easy listening compilation album which runs for 54 minutes and 56 seconds. Brian Kelly followed this album with the album Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening", "doc_id": 192, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman | BBC | Bananaman", "target": ["The BBC tv series, Bananaman, created by Steve Bright and starred Bill Oddie, who was born in Rochdale. The BBC Headquarters is referred to as Broadcasting House.", "Bill Oddie born in Rochdale, starred in Bananaman which was created by Steve Bright and broadcasted by BBC the Broadcasting House based in London.", "Bananaman, a film starring Rochdale native Bill Oddie, is created by Steve Bright. The show was filmed at the BBC, located in the Broadcasting House in London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, Bill_Oddie | birthPlace | Rochdale, Bananaman | broadcastedBy | BBC", "doc_id": 1266, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | AmeriGas | foundingDate | 1959-01-01 | Ameri", "target": ["AmeriGas was founded on January 1st, 1959, and they now have 8,500 employees.", "AmeriGas which was founded on 1959-01-01, currently has 8500 employees.", "AmeriGas with 8500 employees was founded on January 1, 1959."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | numberOfEmployees | 8500, AmeriGas | foundingDate | 1959-01-01", "doc_id": 1246, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nTurn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(", "target": ["Turn Me On is a punk blues and noise rock album that runs 35.1 minutes long. Turn It On was preceded by the album Let It Breed.", "The album Turn Me On is an album in the genres of punk blues and noise rock. It was preceded by the Let it Breed album. The runtime of the album is 35 minutes 10 seconds.", "The album Turn Me On is preceded by the album Let It Breed and is in the genres of Noise rock and Punk Blues. It has a runtime of 35.1 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | genre | Noise_rock, Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | runtime | 35.1", "doc_id": 694, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", South_German_gulden | language | religion | ethnicity | nationality | ethnicity | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality", "target": ["Liselotte Grschebina was born in the German Empire, where they used the South German Gulden as one of their units of currency.", "Liselotte Grschebina was born within the German Empire, whose currency is the South German gulden.", "Liselotte Grschebina was born in the German Empire whose currency is South German gulden."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, German_Empire | currency | South_German_gulden", "doc_id": 845, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Ol", "target": ["Olga Bondareva, born on April 27, 1937 in Soviet Leningrad, died in Saint Petersburg. The city was founded on May 27, 1703.", "Olga Bondareva who was born on April 27, 1937 in Leningrad, USSR, died in Saint Petersburg which was founded on May 27, 1703.", "Olga Bondareva was born in Leningrad in the USSR on April 27th 1937. She died in the city of Saint Petersburg which was founded on May 27 1703."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | foundingDate | 1703-05-27, Olga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthDate | 1937-04-27", "doc_id": 1438, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Music_stream, Music_video, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music", "target": ["Produced by the Espionage production team and now available in digital format, Mermaid is a reggae inspired song on Train's \"California 37\" album. Train followed up Mermaid with the John Lennon song Imagine.", "The reggae song Mermaid is included in the album California 37 by Train. The song was produced by Espionage and is distributed digitally. Train followed Mermaid with their cover of the John Lennon song Imagine.", "Followed by the release of Imagine by John Lennon, the song Mermaid on Train's California 37 album is a digitally distributed reggae song produced by the product team Espionage."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | album | California_37_(Train_album), Mermaid_(Train_song) | format | Music_download", "doc_id": 609, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | education | occupation | city | country | country of birth | city of residence | country of citizenship | country of residence | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship | country of citizenship", "target": ["In terms of nationality, Nurhan Atasoy is a Turkish person.", "Nurhan Atasoy is of Turkish nationality.", "Nurhan Atasoy's nationality is that of Turkish people."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | nationality | Turkish_people", "doc_id": 92, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["Tom Sizemore began his career in 1989.", "Tom Sizemore active years as an actor started in 1989.", "Tom Sizemore started performing in 1989."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTom_Sizemore | activeYearsStartYear | 1989-01-01", "doc_id": 678, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi.\nIstanbul | populationMetroDensity | 2,890.0 sq. mi", "target": ["The population density in metropolitan Istanbul is 2691.0.", "The population density of the Istanbul metro area is 2691 people per square kilometer.", "The population density in metro Istanbul is 2691.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIstanbul | populationMetroDensity | 2691.0", "doc_id": 1577, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common words in the natural language.\nThe following is a list of the most common", "target": ["The Israel's leader title is \"Prime Minister\".", "The leader title of Israel is Prime Minister.", "Israel\u2019s leader is the Prime Minister."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | leaderTitle | \"Prime Minister\"", "doc_id": 338, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | pop | rock | rock | pop | rock | pop | rock | pop | rock | rock | pop | rock | pop | rock | rock | pop | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | rock | pop | rock | rock | pop | rock | rock | pop | rock | rock | rock | pop | rock | rock | pop | rock | rock | rock | pop", "target": ["Pop rock's subgenre is indie pop.", "Indie pop is a music subgenre of pop rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPop_rock | musicSubgenre | Indie_pop", "doc_id": 920, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England | deathDate | year of death | film | director | producer | year of release | rating | IMDb | wikipedia | twitter | facebook | youtube | google | instagram | tumblr | pinterest | vimeo | instagram | tumblr | pinterest | instagram | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | t", "target": ["It's Great to Be Young (1956) stars John Mills, who was born in North Elmham.", "It's Great to Be Young stars John Mills from North Elmham.", "A native of North Elmham, John Mills starred as the leading role in the 1956 movie, It's Great to Be Young."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, John_Mills | birthPlace | North_Elmham", "doc_id": 641, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["Year of No Light by the band Nord, was released by Crucial Blast and is available on E-Vinyl.", "Nord, an album produced by Year of No Light, was released on the record label E-Vinyl. It was also released on the record label Crucial blast.", "The album Nord by Year of No Light was produced by the band and used the record labels of Crucial Blast and E-Vinyl."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl", "doc_id": 490, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | Judaism, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Christianity, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Islam, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Hinduism, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Buddhism, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Judaism, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Christianity, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Islam, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | religion | Hinduism, Abraham_", "target": ["The nationality of Abraham A. Ribicoff was American and he was married to Ruth Ribicoff. He was born and died in the United States and during his life he was in office while John F. Kennedy was president.", "Abraham A. Ribicoff was married to Ruth Ribicoff and he was born and died in the USA. Mr Ribicoff was in office at the same time as John F. Kennedy was president and was an American citizen.", "The United States is the birthplace of American citizen Abraham A. Ribicoff who was in office while John F. Kennedy was president. He was married to Ruth Ribicoff and died in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 1749, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | music | lyrics | lyrics | music | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics | lyrics | music | lyrics | lyrics | lyrics | music | lyrics", "target": ["The Velvet Underground album Squeeze is in the genre of rock music.", "The musical genre of the album Squeeze by the Velvet Underground is rock.", "Squeeze by the Velvet Underground is an album in the rock music genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSqueeze_(The_Velvet_Underground_album) | genre | Rock_music", "doc_id": 492, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | numberOfEmployees | 8500 | number", "target": ["AmeriGas has 8,500 employees.", "8,500 people work in AmeriGas.", "AmeriGas has 8500 employees."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAmeriGas | numberOfEmployees | 8500", "doc_id": 1035, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["The album entitled Nord, followed by Year of No Light's album Live at Roadburn 2008, was released by the artist Year of No Light on the Crucial Blast label on the date 2006-09-06 and produced by Year of No Light.", "The album Nord by Year of No Light was produced by the band and released by the record label Crucial blast on 06-09-2006. The album Nord was followed with the album Live at Roadburn 2008.", "The album Nord by the Year of No Light, who also produced it was released on September 6, 2006 on record label Crucial Blast. Live at Roadburn 2008 was preceded by the album Nord."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 644, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsNorth | Carroll_County,", "target": ["The 11th Mississippi Infantry Monument was established in 2000 and its location is Adams County, Pennsylvania. The 11th Mississippi Infantry Monument is categorized as a Contributing Property. Franklin County, PA, is to the west of it, Cumberland County, PA, is to the north, and Carroll County, Maryland, is to the southeast.", "The 11th Mississippi Infantry Monument established in the year 2000, located in Adams County, Pennsylvania falls under the category of Contributing property. Adams County Pennsylvania is East of Franklin County, Pennsylvania and has Cumberland County, Pennsylvania to its north and Carroll County, Maryland to its southeast.", "A monument to the 11th Mississippi Infantry, categorised as a contributing property, was erected in 2000 and stands in the state of Pennsylvania located in Adams County. Pennsylvania's Franklin County is found to the west of Adams County. Carroll County, Maryland, is southeast Pennsylvania's Adams County, and Cumberland County is to the north of the Adams County."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 833, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| script | English_Without_Tears | cast | English_Without_Tears | production | English_Without_Tears | release | English_Without_Tears | rating | English_Without_Tears | runtime | English_Without_Tears | runtime | English_Without_Tears | director | Harold_French | script | English_Without_Tears | cast | English_Without_Tears | production | English_Without_Tears | release | English_Without_Tears | rating | English_Without_Tears | runtime | English_Without_Tears | director | Harold_French | script | English_Without_Tears | cast | English_Without_Tears | production | English_Without_Tears | release | English_Without_Tears | director | Harold_French | script | English_Without_Tears | cast | English_Without_Tears | production | English_Without_Tears | release | English_Without_Tears | director | Harold_French | script | English_Without_Tears | cast | English_Without_Tears | production | English_Without_Tears | release | English_Without_Tears |", "target": ["Harold French directed English Without Tears, which is 89 minutes in duration.", "Harold French directed the film English Without Tears, which will run for 89 minutes.", "The duration of the movie \u00b4English Without Tears\u00b4, directed by Harold French, is 89 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | director | Harold_French", "doc_id": 521, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy) | deathDate | \"1923-11-18\", Alan_Shepard | death", "target": ["Alan Shepard was born on November 18th, 1923 in New Hampshire, was awarded the Distinguished Service Medal by the United States Navy and died in California.", "Alan Shepard (born on November 18, 1923 in New Hampshire) was awarded the Distinguished Service Medal in the United Stated Navy later died in California.", "New Hampshire born Alan Shepard was born on November 18, 1923 and died in California. During his career he was awarded the Distinguished Service Medal by the United States Navy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | award | Distinguished_Service_Medal_(United_States_Navy)", "doc_id": 1479, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought.\nA sentence", "target": ["Olga Bondareva died on December 9, 1991.", "Olga Bondareva died on the 9th of December, 1991.", "The date of Olga Bondareva's death was the ninth of December 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathDate | 1991-12-09", "doc_id": 7, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", director | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Ted Willis wrote \u201cIt\u2019s great to be young\u201d a 1956 film starring Cecil Parker.", "Cecil Parker had a main role in It's Great to Be Young, which was written in 1956 by Ted Willis.", "Cecil Parker starred in the 1956 movie It's Great to Be Young written by Ted Willis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 327, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["Piotr Hallmann's height is 175.26 cm.", "Piotr Hallmann in 175.26 cm tall.", "Piotr Hallmann is 175.26 cm tall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | height | 175.26", "doc_id": 1705, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel | Israel", "target": ["Liselotte Grschebina died in Petah Tikva, Israel.", "Liselotte Grschebina died in Petah Tikva, a city in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Petah_Tikva, Petah_Tikva | country | Israel", "doc_id": 663, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_", "target": ["Dennis William Sciama was the doctoral advisor of Brandon Carter, an England native, who contributed to the No-Hair Theorem, but is more famously known for the Carter Constant and his work in General Relativity.", "Brandon Carter, a professional in the field of general relativity, was born in England and is best known for his work on the Carter constant and the No-hair theorem under his doctoral advisor, Dennis William Sciama.", "Brandon Carter, a physicist in General Relativity advised by Dennis William Sciama known for the invention of the Carter Constant and his proof of the no-hair theorem, was born in England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | No-hair_theorem, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthPlace | England", "doc_id": 1349, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The Mason School of Business are the current residents of the Alan B Miller Hall which was designed by Robert A M Stern in a Georgian architectural style. This business is located in the United States at 101 Ukrop Way in a building which began construction on the 30th of March, 2007. The College of William and Mary is the current owner of the building.", "Owned by the College of William and Mary and leased to the Mason School of Business, the American based Alan B Miller Hall is the design of Robert Stern. It is a Georgian building whose construction began at 101 Ukrop Way in 2007, on March, 30.", "The Georgian building Alan B Miller Hall was built by Robert Stern. The hall construction started on 30 March, 2007. It is currently tenanted by the Mason School of Business (based in the US) and owned by the College of William and Mary. Its address is 101 Ukrop Way."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 372, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | genre | Post-metal, Aaron_Turner |", "target": ["Aaron Turner was born in Massachusetts and is a post metal musician who plays electric guitar and played with the band Twilight.", "Aaron Turner is a performer of post metal and is originally from Massachusetts. He plays the electric guitar and also played with the band Twilight.", "In the past, Massachusetts-born post-metal electric guitarist Aaron Turner played with the band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | origin | Massachusetts, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | instrument | Electric_guitar", "doc_id": 291, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation, Expect_a_Miracle | instrumentation", "target": ["Brian Kelly's Expect a Miracle is a compilation album which has a runtime of 54.56 minutes, which is in the instrumental music genre, preceded by the album Pools of Light.", "Pools of Light by Brian Kelly was succeeded by instrumental compilation album Expect a Miracle, with a runtime of 54:56.", "Pools of Light by Brian Kelly preceded his instrumental music compilation album, Expect a Miracle (runtime 54.56)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | runtime | 54.56, Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 698, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | category | \"United States\"\n15th_Mississippi_Infantry_Monument | established | 2000, 15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | category | \"United States\"\n16th_Mississ", "target": ["The 11th Mississippi Infantry Monument falls under the category of Contributing Property in the USA where it is situated. The exact location of the monument is in Adams County, Pennsylvania, in the municipality of Gettysburg and the monument was built in the year 2000. To the southeast of Adams County, Pennsylvania lies Carroll County, Maryland."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 711, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise | noise |", "target": ["The album Turn Me On is a punk blues album by the American band The Honeymoon Killers in the noise rock genre.", "The noise rock punk blues album by the Honeymoon Killers is titled Turn Me On.", "The artist the Honeymoon Killers released their noise rock and punk blues album, Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), The_Honeymoon_Killers_(American_band) | genre | Noise_rock, Turn_Me_On_(album) | genre | Punk_blues", "doc_id": 1304, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock | noise rock |", "target": ["Post-hardcore is a derivative of noise rock.", "Post-hardcore music is a derivative of noise rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNoise_rock | derivative | Post-hardcore", "doc_id": 1033, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02", "target": ["Lady Anne Monson was born on January 1, 1726 in Darlington located in the Kingdom of England. Her residence was in India and she later died on February 18, 1776.", "Lady Anne Monson was born on January 1st, 1726 in Darlington, the Kingdom of England. After residing in India for most of her life, she died on February 18th, 1776.", "Lady Anne Monson born in Darlington, England on Jan 1st 1726, and died on Feb 18th 1776, currently resides in India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | residence | India", "doc_id": 383, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russian football | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian footballers | Russian football", "target": ["Aleksandr Prudnikov, who was born on 1989-02-24, plays for FC Terek Grozny who have their ground at Grozny.", "Aleksandr Prudnikov (born 1989-02-24) is in the FC Terek Grozny club. Their ground is based in Grozny.", "Aleksandr Prudnikov was born on 24th February 1989 and he played for FC Terek Grozny. The team\u2019s ground is located in Grozny."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | birthDate | 1989-02-24, FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny", "doc_id": 720, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?", "target": ["Roadside Attractions is founded in 2003.", "Roadside Attractions was founded in 2003.", "The company Roadside Attractions was founded in 2003."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nRoadside_Attractions | foundingYear | 2003-01-01", "doc_id": 612, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net | 5.0, Super_Capers | net |", "target": ["The film Super Capers is 98 minutes long. The budget was 2,000,000 but the gross income was only $30,955.", "Super Capers is a 98 minute film which had a budget of 2000000 and brought home 30955 at the box office.", "The film Super Capers whose budget was 2000000.0 dollars and duration 98 minutes grossed $30,955."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | budget | 2000000.0, Super_Capers | runtime | 98.0, Super_Capers | gross | 30955.0", "doc_id": 725, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | cinematography | Bernard_Knowles.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | cinematography | Bernard_Knowles.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | cinematography | Bernard_Knowles.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nEnglish_Without_Tears | cinematography | Bernard_Knowles.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs", "target": ["The cinematography of English Without Tears was done by Bernard Knowles.", "Bernard Knowles was the cinematographer of the film English Without Tears.", "The cinematographer of the movie English Without Tears is Bernard Knowles."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | cinematography | Bernard_Knowles", "doc_id": 672, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is named 14L/32R and has a length of 4,349.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is named 14L/32R and has a length of 4,349 meters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, ENAIRE | city | Madrid, Madrid | country | Spain, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14L/32R\"", "doc_id": 538, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", UK.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the", "target": ["MotorSport Vision is based in the city of Longfield, Kent.", "The MotorSport Vision location is the city of Longfield.", "MotorSport Vision is in the city of Longfield."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMotorSport_Vision | city | Longfield", "doc_id": 1073, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS-3 | length | 2,000, ALCO_RS", "target": ["The 12 cylinder ALCO RS-3 is 17068.8 millimetres long.", "The 17068.8 millimetres long ALCO RS-3 has a cylinder count of 12."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | cylinderCount | 12, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 844, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_", "target": ["The Velvet Underground Squeeze album was succeeded by the rock album Bootleg Series Volume 1: The Quine Tapes, recorded under record label Polydor Records in San Francisco.", "The Bootleg Series Volume I: The Quine Tapes is a rock album recorded in San Francisco and released under the label Polydor Records. It was preceded by the album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 1690, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Shapley_theorem | Theorem | Bondareva\u2013Sh", "target": ["Olga Bondareva who was born in Leningrad, USSR on April 27, 1937 is known for Bondareva-Shapley theorem. She died in Saint Petersburg.", "Olga Bondareva was born on April 27,1937 in Leningrad, USSR. She was known for the Bondareva-Shapley theorem and later died in Saint Petersburg.", "Olga Bondareva was born on April 27, 1937 in Leningrad, USSR. Known for the Bondareva-Shapley theorem, she died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem", "doc_id": 958, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Sizemore, Super_Capers | starring | Tom_Siz", "target": ["Tom Sizemore stars in Super Capers which starred Michael Rooker.", "The film Super Capers stars both Michael Rooker and Tom Sizemore.", "Tom Sizemore stars in Super Capers, a film in which Michael Rooker also plays in."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore", "doc_id": 252, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Mermaid is a pop rock song by Train released on the Columbia Records record label.", "Train song Mermaid, a pop rock song, was released under the record label Columbia Records.", "The Train song Mermaid in Columbia Records belongs to pop rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | recordLabel | Columbia_Records", "doc_id": 1016, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice of India | Chief Justice", "target": ["A Chief Justice is a leadership title in India.", "Chief Justice is one of the titles of Indian leaders.", "Chief Justice is the title of one of the leaders of India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIndia | leaderTitle | Chief Justice", "doc_id": 687, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | Super_Capers | rating | IMDb | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IMDb rating | IM", "target": ["Michael Rooker starring to film Super Capers written by director Ray Griggs born in 1974.", "The film Super Capers, which starred Michael Rooker, was written and directed by Ray Griggs who was born in 1974.", "Michael Rooker played in Super Capers, which was written by Ray Griggs and directed by Ray Griggs (born in 1974)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | writer | Ray_Griggs_(director), Ray_Griggs_(director) | birthYear | 1974, Super_Capers | starring | Michael_Rooker", "doc_id": 933, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The College of William and Mary is the owner of the Alan B. Miller Hall at 101 Ukrop Way in Virginia, which was the design of Robert A.M. Stern. The building of the hall started on the 30th of March 2007 and completed on the 1st of June 2009. The Mason School of Business are the current tenants of the building.", "The College of William and Mary is the owner of the Alan B. Miller Hall which is located in Virginia at 101 Ukrop Way. The Mason School of Business are the current tenants of the hall which was completed on 01/06/2009. The building was designed by Robert A.M. Stern and began construction on 30/03/2007.", "The College of William and Mary is the owner of the Alan B. Miller Hall which is situated in Virginia at 101 Ukrop Way. The hall was completed on the 1st of June 2009 and began construction on the 30th of March 2007. The architect of the Alan B Miller Hall is Robert A M Stern and the current occupants are The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 897, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything | Theory of Everything", "target": ["Brandon Carter, who is well-known for the Anthropic principle theory, calls England his birthplace.", "Brandon Carter, known for his work on the Anthropic Principle, was born in England.", "Brandon Carter, born in England, became well known for his Anthropic principle theory."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | birthPlace | England, Brandon_Carter | knownFor | Anthropic_principle", "doc_id": 611, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Lang, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | releaseDate | 2001-10-16, Squeeze", "target": ["Bootleg Series Volume 1: The Quine Tapes by The Velvet Underground was released on October 16, 2001. It was preceded by the album Squeeze, which itself was preceded by the compilation album Andy Warhol's Velvet Underground Featuring Nico.", "Bootleg Series Volume 1: The Quine Tapes (released 10-16-2001) was preceded by the album Squeeze, which in turn was preceded by the album Andy Warhol's Velvet Underground Featuring Nico.", "Andy Warhol's Velvet Underground Featuring Nico is the predecessor of Squeeze by The Velvet Underground and Bootleg Series Volume 1: The Quine Tapes which is released in 2001-10-16."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Squeeze_(The_Velvet_Underground_album) | precededBy | Andy_Warhol's_Velvet_Underground_Featuring_Nico", "doc_id": 1226, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate", "target": ["Lady Anne Monson was born in Darlington, located in the Kingdom of England, on January 1, 1726. She later died on February 18, 1776.", "Lady Anne Monson died of February 18, 1776 after having been born in Darlington, in the Kingdom of England, on 1726.01.01.", "Lady Anne Monson was born in Darlington, England in 1726 on January, 1. She died on 1776-02-18."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England", "doc_id": 1639, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence |", "target": ["Darinka Dentcheva currently resides in the US state of New Jersey, where one of the leaders of the country is the Vice President.", "Darinka Dentcheva resides in New Jersey, which is in the United States has a Vice President as a title for one of the leaders.", "Darinka Dentcheva is from New Jersey, United States. The Vice President of the United States is a leader."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | leaderTitle | \"Vice President\", Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States", "doc_id": 1201, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfTeachingStaff | 9400, University_of_Burgundy | numberOfResearchStaff | 9400, University_of_Burgundy | numberOfAdministrativeStaff | 9400, University_of_Burgundy | numberOfLibraryStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy | numberOfStudentStaff | 9400, University_of_Burgundy", "target": ["The University of Burgundy has 2900 staff members that educate 16800 undergraduate students, 1299 doctoral students, and 9400 postgraduate students a total of 27400 students combined.", "2900 University of Burgundy staff members support 27400 students, of whom 16800 are undergraduates, 9400 are postgraduates and 1299 are doctoral.", "At the University of Burgundy, 2900 staff members support a student body of 27400 which consists of 16800 undergraduate, 9400 postgraduate and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 1382, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ltd.\nThe Quine Tape is a collection of recordings made by the American philosopher and mathematician John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940s.\nThe Quine Tape is a collection of recordings made by the American philosopher and mathematician John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940s.\nThe Quine Tape is a collection of recordings made by the American philosopher and mathematician John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940s.\nThe Quine Tape is a collection of recordings made by the American philosopher and mathematician John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940s.\nThe Quine Tape is a collection of recordings made by the American philosopher and mathematician John von Neumann in the early 1940s. The tapes were made by the mathematician and philosopher John von Neumann in the early 1940", "target": ["The rock album Bootleg Series Volume 1: The Quine Tapes was released by Polydor Records and was preceded by the album Squeeze.", "The Quine Tapes which are off of the album Bootleg Series Volume 1 were recorded under the Polydor Records record label and they fit into the Rock music genre. The Tapes were preceded by Squeeze by The Velvet underground.", "The Quine Tapes, which is a rock series recorded by Polydor Records, was first preceded by the Velvet Underground Album, entitled Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records", "doc_id": 508, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The South Seas\"\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is", "target": ["McVeagh of the South Seas IMDb ID is 0004319.", "McVeagh of the South Seas is a film registered in IMDb with the ID 0004319.", "McVeagh of the South Seas' IMDb id is 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319", "doc_id": 580, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationIdentifier | EGBF, Bedford_Aerodrome | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier |", "target": ["The Bedford Aerodrome runway name is 08/26, it is 1095 long and the surface is made of concrete, it is also 83.2104 meters above sea level. The ICAO location identifier for the aerodrome is EGBF.", "The Bedford Aerodrome runway surface is made out of concrete and is named 08/26 as well as being 1095 long. Its International Civil Aviation Organization (ICAO) identifier is EGBF and it is 83.2104 above sea level.", "The ICAO location identifier for Bedford Aerodrome is EGBF and its runway, which is made of concrete and named \"08/26\", is 1095 long.The aerodrome is 83.2 meters above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 884, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | deathYear | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay | deathDay |", "target": ["Leningrad State University is the alma mater of Olga Bondareva. Olga Bondareva died in Saint Petersburg. St Petersburg is a city in Russia and Georgy Poltavchenko is the current leader there.", "Olga Bondareva was a student at Leningrad State University who died in Saint Petersburg, Russia whose leader is Georgy Poltavchenko.", "Olga Bondareva who graduated from Leningrad State University, died in Saint Petersburg, a city in Russia. Saint Petersburg's acting governor was Georgy Poltavchenko."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | almaMater | Leningrad_State_University, Saint_Petersburg | country | Russia, Olga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | leader | Georgy_Poltavchenko", "doc_id": 1059, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | deathDate | 1991-12-09 | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | deathDate | 1991-12-09 | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | deathDate | 1991-12-09 | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | deathDate | 1991-12-09 | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad,_USSR, Olga_Bondareva | deathDate | 1991-12-09 | Bondareva\u2013", "target": ["Olga Bondareva (born in Leningrad, USSR and passed away December 9, 1991) attended Leningrad State University, and was known for the Bondareva-Shapley theorem.", "Born in Leningrad, USSR, Olga Bondareva attended the Leningrad State University, where she became known for the Bondareva-Shapley theorem. Olga passed away on December 9, 1991.", "Olga Bondareva's (born in Leningrad, part of the USSR.) whose alma mater is Leningrad State University is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09", "doc_id": 591, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology |", "target": ["The All India Council for Technical Education located in Mumbai was proud to give the Technical Campus status to the Acharya Institute of Technology. The Acharya Institute of Technology is affiliated with Visvesvaraya Technological University which is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Acharya Institute of Technology was given the Technical Campus status by the All India Council for Technical Education and is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education is located in Mumbai and The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090 which is in Bangalore.", "The Acharya Institute of Technology which is located in Bangalore, is affiliated with the Visvesvaraya Technological University and as given the 'Technical Campus' status by All India Council for Technical Education, located in Mumbai. The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1659, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Georgia, U.S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["Grigory Neujmin, the man who found 1147 Stavropolis, was born in Tbilisi.", "Grigory Neujmin born in Tbilisi discovered 1147 Stavropolis.", "Grigory Neujmin was born in the city of Tbilisi and discovered 1147 Stavropolis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, Grigory_Neujmin | birthPlace | Tbilisi", "doc_id": 1229, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China | China", "target": ["Nie Haisheng (born in Hubei) was part of the Shenzhou 10 mission as a fighter pilot and also took part in Shenzhou 6 mission.", "Born in Hubei, Nie Haisheng was part of both the Shenzhou 6 and Shenzhou 10 missions. His main occupation was fighter pilot.", "Nie Haisheng is a fighter pilot who was born in Hubei Province, was a crew member on Shenzhou 6 and took part in the Shenzhou 10 mission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei, Nie_Haisheng | mission | Shenzhou_6, Nie_Haisheng | mission | Shenzhou_10, Nie_Haisheng | occupation | Fighter_pilot", "doc_id": 1660, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", HBO Latin America, HBO Asia, HBO Europe, HBO Middle East, HBO Africa, HBO Asia Pacific, HBO Latin America, HBO Europe, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Europe, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Asia Pacific, HBO Latin America, HBO Europe, HBO Middle East, HBO Africa, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Africa, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin America, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Africa, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin America, HBO Middle East, HBO Asia Pacific, HBO Latin America, HBO Middle East, HBO Latin", "target": ["HBO has different timeshift services, for example, HBO East and HBO West.", "HBO East and HBO West are timeshift channels of HBO.", "HBO's timeshift channel is divided into HBO East and HBO West."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHBO | timeshiftChannel | HBO East, HBO West", "doc_id": 320, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy |", "target": ["The All India Council for Technical Education which is located in Mumbai gave Technical Campus status to the Acharya Institute of Technology. The institute is based in Bangalore, a city founded by Kempe Gowda I, its director is Dr. G. P. Prabhukumar and it is affiliated with Visvesvaraya Technological University and its campus address is: Soldevanahalli , Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology was given the 'Technical Campus' status by the All India Council for Technical Education (located in Mumbai), and is affiliated with Visvesvaraya Technological University. The director of Acharya is Dr. G. P. Prabhukumar. The Acharya Institute of Technology campus is located in Bangalore, of which the founder was Kempe Gowda I. The address is Soldevanahalli, Acharya Doctor Sarvapalli Radhakrishnan Rd, Hessarghatta Main Road, Bangalore - 560090.", "The city of Bangalore, founded by Kempe Gowda I, is home to the Acharya Institute of Technology, a Technical Campus designated by the All India Council for Technical Education of Mumbai, affiliated with Visvesvaraya Technological University, directed by Dr G.P. Prabhukumar and located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 528, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A.\nI will verbalize an abstract representation", "target": ["Hypermarcas, an S.A. corporation founded on January 1, 2001, is a pharmaceutical company with a net income of $108,600,000. Mantecorp is its subsidiary.", "Hypermarcas is a type of S.A (corporation) in the pharmaceuticals industry founded on January 1, 2001. It has a subsidiary called Mantecorp and a net income of 108,600,000.", "Hypermarcas, a type of S.A. corporation in the pharmaceutical industry, was founded on 2001-01-01. Hypermarcas' net income is $108,600,000 and they have a subsidiary called Mantecorp."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | foundingDate | 2001-01-01, Hypermarcas | type | S.A._(corporation), Hypermarcas | subsidiary | Mantecorp, Hypermarcas | netIncome | 108600000", "doc_id": 1704, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["Nord, an album made by Year of No Light and released by the record label Crucial blast, belongs to the post metal genre.", "The Year of No Light's album Nord, released on Crucial Blast, is post-metal.", "Released on the Crucial Blast Label, Nord is an album by post metal band The Year of No Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 710, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_", "target": ["Alan Shepard was born in New Hampshire and died in California. The Senator representing California was Dianne Feinstein.", "Alan Shepard's born in New Hampshire and died in California where the Dianne Feinstein is a senator.", "Alan Shepard, born in New Hampshire, died in California. Dianne Feinstein is a California's senator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, California | senators | Dianne_Feinstein", "doc_id": 437, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate |", "target": ["Olga Bondareva was born on April 27, 1937.", "Olga Bondareva's date of birth is April 27, 1937."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27", "doc_id": 1342, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | runtime | 89.0, English", "target": ["English Without Tears is an 89 minute movie written by Terence Rattigan and released on July 28th, 1944. Alan Jaggs was the editor while Nicholas Brodszky wrote the music for the film.", "On 1994-07-28,English Without Tears a 89 minutes long was released which is written by Terence Rattigan,done by Alan Jaggs and composed by Nicholas Brodszky.", "The film English Without Tears, written by Terence Rattigan, was released on 07-28-1944. Edited by Alan Jaggs, it has an 89 minute running time with music composed by Nicholas Brodszky.."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | writer | Terence_Rattigan, English_Without_Tears | runtime | 89.0, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | musicComposer | Nicholas_Brodszky", "doc_id": 159, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company | company", "target": ["GMA Network is a public company.", "GMA Network is a Public Company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_Network_(company) | type | Public_company", "doc_id": 1356, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| by: _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | _________________________________________ | ________________________________", "target": ["The Train song Mermaid was released on the date 2012-12-27.", "The Train song Mermaid was released on 27th December 2012.", "The Mermaid song by Train had a release date of the twenty seventh of December 2012."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | releaseDate | 2012-12-27", "doc_id": 462, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Lionsgate, Super_Capers | distributor | Warner Bros.\nSuper_Capers | starring | Adam_West, Super_C", "target": ["Adam West had a main role in the movie Super Capers which was distributed by Roadside Attractions and Lionsgate.", "The movie 'Super Capers', released by Roadside Attractions, starred actor Adam West. Lionsgate served as a distributor for 'Super Capers'.", "Adam West is starring in Super Capers film distributed by Roadside Attractions and Lionsgate."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Adam_West, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate", "doc_id": 1189, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Theorem: The set of all natural numbers is a subset of the set of all real numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural numbers.\nTheorem: The set of all real numbers is a subset of the set of all natural", "target": ["Darinka Dentcheva is known for her work with stochastic programming.", "Darinka Dentcheva is known for Stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 1215, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany", "target": ["Darinka Dentcheva, a citizen of the United States of America, attended Humboldt University and is known for her work with stochastic programming.", "Darinka Dentcheva, a stochastic programmer and graduate of Humboldt University, is a citizen of the United States of America.", "Darinka Dentcheva, United States of America ('United States') citizen and Humboldt University graduate, is known for her work with stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, United_States | longName | United States of America, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 1075, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | genre | noise |", "target": ["Turn Me On is a self-produced album by the Honeymoon Killers that falls under the genres of punk blues and noise rock.", "The Turn Me On album produced by the Honeymoon Killers is in Punk blues and Noise rock genres.", "Turn Me On is a punk blues album produced by The Honeymoon Killers and it is an example of the musical genre known as noise rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | genre | Noise_rock", "doc_id": 1063, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_", "target": ["Influenced by Andrzej Piotr Ruszczynski, Darinka Dentcheva (born Jan. 1st, 1958) has become widely known for her work in Stochastic Programming, working in the field of Mathematical Optimization; she is a citizen of the United States.", "Darinka Dentcheva was born January 1, 1958. She is a citizen of the United States and is known for her work with stochastic programming and works in the field of mathematical optimization. She has also developed a theory influenced by Andrzej Piotr Ruszczynski.", "Darinka Dentcheva, born January 1, 1958, is a US citizen and is known for stochastic programming. She is a professional in the field of mathematical optimization and was influenced by Andrzej Piotr Ruszczy\u0144ski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 221, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| music | John_Mills | production | directed by | John_Mills | screenplay | John_Mills | production | released | Warner Bros.\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor | music | John_Mills | production | directed by | John_Mills | screenplay | John_Mills | production | released | Warner Bros.\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor | music | John_Mills | production | directed by | John_Mills | screenplay | John_Mills | production | released | Warner Bros.\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor | music | John_Mills | production |", "target": ["John Mills starred in the 1956 film It\u2019s Great to Be Young which featured cinematography by Gilbert Taylor.", "John Mills played the leading role in the 1956 movie It's Great to be Young which had Gilbert Taylor as cinematographer.", "John Mills had a main role in the movie It's Great to Be Young, which had its cinematography done by Gilbert Taylor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor", "doc_id": 123, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604.0 sq. km.\nCiudad_Ayala | populationDensity | 1604", "target": ["The population density of Ciudad Ayala is 1604.0.", "Ciudad Ayala city has a population density of 1604.0.", "The population density in Ciudad Ayala is 1604."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0", "doc_id": 9, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | runtime |.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI", "target": ["Geof Bartz is the editor of the 83-minute film Death on a Factory Farm produced by Tom Simon.", "'Death on a Factory Farm' was edited by Geof Bartz and produced by Tom Simon. It is 83 minutes long.", "The film Death On a Factory Farm, which runs 83 minutes, was produced by Tom Simon and edited by Geof Bartz."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | producer | Tom_Simon", "doc_id": 215, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | writer | Ray_", "target": ["Super Capers made $30,955 and starred infamous actor, Adam West. It was written and directed by Ray Griggs.", "The film Super Capers, which grossed $30,955, is both directed and written by Ray Griggs, and it stars Adam West.", "Super Capers is written and directed by Ray Griggs. It stars Adam West and accumulated a box office of $30,955."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Adam_West, Super_Capers | writer | Ray_Griggs_(director), Super_Capers | director | Ray_Griggs_(director), Super_Capers | gross | 30955.0", "doc_id": 1069, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07", "target": ["George Allen & Unwin published The Fellowship of the Ring on July 29, 1954.", "The Fellowship of the Ring was published on July 29, 1954 by George Allen & Unwin.", "The Fellowship of the Ring, published by George Allen & Unwin was released on July 29, 1954."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 1591, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09-06 | releaseDate | 2006-09", "target": ["The release date of Nord, Year of No Light Album, is 06-09-2006.", "The Year of No Light album Nord was released on the date 2006-09-06.", "The album Nord was released on September 6, 2006."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06", "doc_id": 1176, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleks", "target": ["Aleksandr Prudnikov plays for FC Terek Grozny (based at Grozny) and managed by Rashid Rakhimov.Aleksandr Prudnikov played for FC Spartak Moscow's youth team an his current club is FC Amkar Perm.", "Aleksandr Prudnikov is in the FC Terek Grozny club (based in Grozny) and managed by Rashid Rakhimov. He is a member of the youth side of FC Spartak Moscow and also plays for FC Amkar Perm.", "Aleksandr Prudnikov youth football club was FC Spartak Moscow and he also played for FC Terek Grozny located in Grozny and managed by Rashid Rakhimov. Aleksandr Prudnikov currently plays for FC Amkar Perm."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, Aleksandr_Prudnikov | club | FC_Terek_Grozny, FC_Terek_Grozny | manager | Rashid_Rakhimov, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow", "doc_id": 1107, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# | C# |", "target": ["Andrzej Piotr Ruszczy\u0144ski is known for his work with stochastic programming.", "Andrzej Piotr Ruszczynski is known for stochastic programming.", "Andrzej Piotr Ruszczy\u0144ski is known for stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrzej_Piotr_Ruszczy\u0144ski | knownFor | Stochastic_programming", "doc_id": 1637, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| occupation, Lady_Anne_Monson | profession, Lady_Anne_Monson | education, Lady_Anne_Monson | religion, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height in feet, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | weight in kilograms, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | height in meters, Lady_Anne_Monson | height in meters, Lady_Anne_Monson", "target": ["Lady Anne Monson, a British national was born in Darlington, Kingdom of England, on January 1, 1726. She resided in India for most of her life with spouse George Monson and died on February 18th, 1776.", "Lady Anne Monson (born in Darlington in the Kingdom of England on January, 1.1726) currently resides in India and is the spouse of George Monson. Lady Anne Monson died on 1776-02-18.", "Lady Anne Monson ,a national of Kingdom of England was born in Darlington, England on 1726-01-01. With her spouse George Monson, she resided in India and died on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | spouse | George_Monson", "doc_id": 708, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC+02:00, Ciudad_Ayala | latitudeAboveTheSeaLevel | 1147.0, Ciudad_Ayala | longitudeAboveTheSeaLevel | 1147.0, Ciudad_Ayala | longitudeWestOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeEastOfTheSeaLevel | 1147.0, Ciudad_Ayala | longitudeNorthOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeWestOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeEastOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeWestOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeEastOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeWestOfTheSeaLevel | 1147.0, Ciudad_Ayala | latLongitude | longitudeWestOfTheSeaLevel | 1147.", "target": ["Ciudad Ayala is located in the Pacific Daylight time zone and is 1147 metres above sea level. It is a city in Mexico and is based in the state of Morelos.", "The Mexican based city of Ciudad Ayala in Morelos stands at 1147 metres above sea level and is in the PDT time zone.", "A part of Morelos, the city of Ciudad Ayala is located in Mexico. It is elevated 1147 metres above sea level and is in the Pacific Daylight Timezone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 1557, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squeeze_(The_Velvet_Underground_album) | followedBy | The_Velvet_Underground_Featuring_Nico_Lang, Squ", "target": ["The Quine Tapes are Rock music genre preceded by the album Squeeze, and Squeeze was preceded by the album Andy Warhol's Velvet Underground Featuring Nico.", "Bootleg Series Volume 1: The Quine Tapes's genre is rock, and is preceded by the Velvet Underground album Squeeze, which was preceded by the compilation album Andy Warhol's Velvet Underground Featuring Nico.", "The album Bootleg Series Volume 1: The Quine Tapes fits into the Rock music genre and was preceded by Squeeze by The Velvet Underground, which in turn was preceded by Andy Warhol's Velvet Underground Featuring Nico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Squeeze_(The_Velvet_Underground_album) | precededBy | Andy_Warhol's_Velvet_Underground_Featuring_Nico", "doc_id": 17, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | black metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | black metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | black metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | death metal, Nord_(Year", "target": ["Released on September 6 of 2006 A Year of No Light's post-metal album,\" Nord,\" was followed up by \"Live at Roadburn 2008.\" Produced by the artist, The Year of No Light, the album, \"Nord\" is in the sludge metal genre.", "The album, \"Nord\", a post-metal genre piece, also considered sludge metal, was produced and released by the artist Year of No light in 2006, on September, 6, and followed up the artist's album, \"Live at Roadburn 2008.\"", "The album Nord created and produced by Year of No Light is in sludge metal and post metal genre. Nord was released on 06-09-2006 and was followed by the album Live at Roadburn in 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 1621, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | occupation, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | education, Liselotte_Grschebina | occupation, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | education, Liselotte_Grschebina | occupation, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | education, Liselotte_Grschebina | occupation, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | religion, Lisel", "target": ["Born in the German Empire, professional photographer Liselotte Grschebina studied at the school of Applied Arts in Stuttgart.", "Liselotte Grschebina was a photographer who studied at the School of Applied Arts in Stuttgart. She was born in the German Empire.", "Liselotte Grschebina , a professional photographer born in German Empire did her studies at the School of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 842, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Ciudad Ayala UTC offset is -6 in the country of Mexico.", "Ciudad Ayala has a UTC offset of -6 and is a city in Mexico.", "Ciudad Ayala falls into UTC offset -6 timezone and is located in the country of Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico", "doc_id": 1682, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | numberOfDoctor", "target": ["The University of Burgundy employs 2900 staff members with 1299 doctoral students.", "The University of Burgundy with 2900 staff members has 1299 doctoral students.", "The University of Burgundy has 2900 staff members and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 201, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | genre | Reggae, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_L", "target": ["The Train song Mermaid was made next to the song This'll be my year. It has a length of 3 minutes and 16 seconds and it is written in the reggae music field. Its followed by the John Lennon song called Imagine.", "The band, Train, produced, \"This'll be my year\" and followed it up firstly with a reggae song, entitled, Mermaid, which lasts 3.16 minutes, and then with a rendition of the iconic John Lennon hit, Imagine.", "The Train song Mermaid, which is in the reggae genre, was followed by the release of the band\u2019s cover of Imagine by John Lennon, while it was preceded by the song This'll Be My Year. Mermaid has a total runtime of three minutes and sixteen seconds."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 280, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ltd.", "target": ["George Allen and Unwin was the publisher of The Two Towers.", "The Two Towers was published by George Allen & Unwin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Two_Towers | publisher | George_Allen_&_Unwin", "doc_id": 1679, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePeriod | 20378.5, 1147_Stavropolis | absolutePer", "target": ["The asteroid 1147 Stavropolis was discovered in 1929. It has an apoapsis of 418476000000.0, an absolute magnitude of 11.5 and a rotation period of 20378.5.", "1147 Stavropolis is an asteroid discovered on June 11th, 1929. It has an apoapsis of 418476000000.0 and an absolute magnitude of 11.5. The rotation period of 1147 Stavropolis is 20,378.5.", "With an apoapsis of 418476000000.0 AU and an absolute magnitude of 11.5, the asteroid 1147 Stavropolis has a rotation period of 20378.5. It was discovered in June of 1929."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5", "doc_id": 1237, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon, Dijon | country | France, France | government | Dijon", "target": ["The unitary state France is home to the University of Burgundy. The campus is located in Dijon, France.", "The unitary state of France is home of the University of Burgundy. The university is located in the city of Dijon.", "The University of Burgundy and its campus is located in the city of Dijon, France. France has a unitary state form of government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon, Dijon | country | France, France | governmentType | Unitary_state", "doc_id": 1449, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall which is situated in Virginia at 101 Ukrop Way. The architect of the Alan B Miller Hall was Robert A M Stern and the building began construction on the 30th of March 2007. The Mason School of Business is a tenant of the hall and The College of William and Mary own it.", "Designed by Robert A.M. Stern, with construction beginning March 30, 2007, Alan B. Miller Hall is located at 101 Ukrop Way in Virginia, is owned by the College of William and Mary, and currently houses the Mason School of Business as tenants.", "The College of William and Mary's Alan B. Miller Hall was designed by Robert A.M. stern, and its construction began on March 30, 2007. The building, located at 101 Ukrop Way on their Virginia campus, is used by the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | tenant | Mason_School_of_Business, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 1305, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Philippines, Quezon_City", "target": ["GMA New Media is located in Quezon, Philippines (a city dominated by the Liberal Party). Founded 12/06/1898, GMA New Media produces web services.", "GMA New Media, located in the Liberal Party led Quezon City, Philippines, offers World Wide Web related services. GMA New Media\u2019s home country, the Philippines, were founded on 1898-06-12.", "GMA New Media is a company that makes web sites and its headquarters are located in Quezon City in the Philippines (founded on June 12, 1898). The leader Party of Quezon City is the Liberal Party of the Philippines."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | Philippines, Quezon_City | leaderParty | Liberal_Party_(Philippines), GMA_New_Media | location | Quezon_City, GMA_New_Media | product | World_Wide_Web, Philippines | foundingDate | 1898-06-12", "doc_id": 469, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico | populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico | populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico | populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico | populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico | populationDensity | 1604.0,", "target": ["Ciudad Ayala has a population density of 1604.0, has a UTC offset of -6 and is located in Mexico, who has a leader called the President of the Chamber of Deputies.", "Ciudad Ayala, with a population density of 1604 and a UTC offset of -6, is a city in Mexico, the government of which has a leader position titled the President of the Chamber of Deputies.", "Ciudad Ayala, a city in Mexico, has a population density of 1604.0 and falls into UTC offset -6 time zone. A leader title in Mexico is President of the Chamber of Deputies."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Mexico | leaderTitle | \"President of the Chamber of Deputies\", Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico", "doc_id": 1530, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Braverman | Itzik_Bra", "target": ["Liselotte Grschebina died in Petah Tikva, which is led by Itzik Braverman.", "Liselotte Grschebina died in Petah Tikva, where one of the leaders was called Itzik Braverman.", "One of the leaders of Petah Tikva, where Liselotte Grschebina died, is Itzik Braverman."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Petah_Tikva, Petah_Tikva | leader | Itzik_Braverman", "doc_id": 241, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural", "target": ["1147 Stavropolis, discovered on June 11, 1929, has a periapsis of 260855000000.0.", "1147 Stavropolis is an asteroid, discovered on 11 June 1929, and its periapsis is 260855000000.0.", "The asteroid 1147 Stavropolis was discovered on the 11th of June, 1929 and has a periapsis of 260855000000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 287, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Cumberland_County,_Pennsylvania | hasToItsNorth | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania | hasToItsNorth | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania | hasToItsNorth | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania | hasToItsNorth | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania | hasToItsNorth | Frederick_", "target": ["Frederick County, Maryland is to the southwest of Adams County, Pennsylvania while Cumberland County is to its north. The 11th Mississippi Infantry Monument, established 2000, is in the municipality of Gettysburg, Pennsylvania which is in Adams County and this monument falls under the category of contributing property.", "Cumberland county, Pennsylvania is north of Adams County, Pennsylvania where the 11th Mississippi Infantry Monument has stood since 2000, in the municipality of Gettysburg. Adams County has Frederick County, Maryland to its southwest and the monument itself is categorized as a contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 727, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music | music", "target": ["The album Turn Me On is an example of the musical genre known as noise rock.", "The genre of the Turn Me On album is noise rock.", "Noise rock is the genre of the album Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Noise_rock", "doc_id": 942, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", FC_Spartak_Moscow | coach | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak_Moscow, FC_Spartak_Moscow | player | FC_Spartak", "target": ["Aleksandr Prudnikov is a member of the youth side of FC Spartak Moscow and is on the FC Terek Grozny club which is based at Grozny. He also currently plays for FC Amkar Perm which is managed by Gadzhi Gadzhiyev,.", "Aleksandr Prudnikov played for FC Spartak Moscow's youth team and currently plays for FC Terek Grozny. His current club is FC Amkar Perm, which is managed by Gadzhi Gadzhiyev.", "Aleksandr Prudnikov's youth football club was FC Spartak Moscow, following this, he played for FC Terek Grozny, located in Grozny and currently plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow", "doc_id": 1279, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Qu", "target": ["Bootleg Series Volume 1: The Quine Tapes is a rock album released by The Velvet Underground and was preceded by Squeeze. The album was released by Polydor Records and Universal Music Group.", "The Bootleg Series Volume 1: The Quine Tapes is a rock album preceded by Squeeze and released under Polydor Records. The album was recorded under the Universal Music Group record label. All this music was created by the Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 1606, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | runtime | 54.56, Expect_a", "target": ["Brian Kelly is the author of \"Expect a Miracle,\" a compilation album with a runtime of 54:56. Expect a Miracle was released after Kelly's Pools of Light.", "Expect a Miracle, a compilation album with runtime of 54.56 minutes was created by composer & pianist Artist Brian Kelly. This album was preceded by the album Pools of Light.", "The compilation album Expect a Miracle by Brian Kelly has a run time of 54.56. It was preceded by the album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 590, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Gdynia,_Poland | timeZone | Central_European_Winter_Time, Gdynia,_Poland | timeZone | Central_European_Spring_Time, Gdynia,_Poland | timeZone | Central_European_Fall_Time, Gdynia,_Poland | timeZone | Central_European_Winter_Time, Gdynia,_Poland | timeZone | Central_European_Summer_Time, Gdynia,_Poland | timeZone | Central_European_Fall_Time, Gdynia,_Poland | timeZone | Central_European_Winter_Time, Gdynia,_Poland | timeZone | Central_European_Spring_Time, Gdynia,_Poland | timeZone | Central_European_Summer_Time, Gdynia,_Poland | timeZone | Central_European_Fall_Time, Gdynia,_Poland | timeZone | Central_European_Winter_Time, Gdynia,_Poland | timeZone | Central_European_Spring_Time, Gdynia,_Poland |", "target": ["Piotr Hallmann weighs 70.308 kilograms and was born in Gdynia, Poland, which follows the Central European Summer Time timezone.", "Piotr Hallmann, who weighs 70.308kg, was born in Gdynia, Poland. Gdynia is a city in Poland and is in the Central European Summer timezone.", "Piotr Hallmann was born in Gdynia, Poland, which is in Central European summer time. He weighs 70.308 kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthPlace | Gdynia,_Poland, Piotr_Hallmann | weight | 70.308, Gdynia,_Poland | timeZone | Central_European_Time, Gdynia,_Poland | timeZone | Central_European_Summer_Time", "doc_id": 1607, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music | artist | The_Velvet_Underground, Bootleg_Series_Volume_", "target": ["The Bootleg Series Volume I: The Quine Tapes, a rock music genre,with runtime of 230:05 was produced and released by Velvet Underground. It was recorded in the United States.", "The Bootleg Series Volume I: The Quine Tapes, produced and created by The Velvet Underground with run time of 230.05 minutes was recorded in the United States. It belongs to rock genre.", "The album Bootleg Series Volume 1: The Quine Tapes by The Velvet Underground in the Rock music genre, was produced by The Velvet Underground and recorded in the United States. It lasts 230.05 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music", "doc_id": 88, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young", "target": ["The 1956 movie It's Great to Be Young was directed by Cyril Frankel, starred Cecil Parker, and has a running time of 94 minutes.", "The 94 minutes long 1956 movie It's Great to Be Young was directed by Cyril Frankel and starred Cecil Parker.", "Cyril Frankel directed the 1956 film It's Great to Be Young in which Cecil Parker had a main role. The film is 94 minutes long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 132, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16 | album, Bootleg_Series_Volume_1:_The_Quine_", "target": ["The Bootleg Series Volume 1: The Quine Tapes by Velvet Underground, a rock music genre, was released on October, 16, 2001 by Universal Music Group and Polydor Records.The Quine Tapes was preceded by Squeeze by The Velvet Underground.", "Bootleg Series Volume 1: The Quine Tapes album created by Velvet Underground with a genre rock, was preceded by the album Squeeze and recorded through Polydor Records under Universal Music Group record label released on 10-16-2001.", "Music group the Velvet Underground released their Rock music album Bootleg Series Volume 1: The Quine Tapes on 2001-10-16. The album was released by record labels Polydor and Universal Music Group. It was preceded by the band\u2019s album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16", "doc_id": 1074, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | occupation | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height", "target": ["Liselotte Grschebina was born on May 2, 1908 and has Israeli nationality.", "Liselotte Grschebina was an Israeli born on May 2nd, 1908.", "Liselotte Grschebina is an Israeli national born on May 2, 1908."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | nationality | Israel", "doc_id": 154, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 | 10252 |", "target": ["The number of employees at Hypermarcas is 10252.", "Hypermarcas employs 10,252 people.", "Hypermarcas has 10252 employees."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | numberOfEmployees | 10252", "doc_id": 1698, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league, they were in Campeonato Brasileiro Serie C in 2015 and has 17000 members.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members, plays in the Campeonato Brasileiro S\u00e9rie C league and competed in the 2015 Campeonato Brasileiro S\u00e9rie C.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense have 17000 members, play in the Campeonato Brasileiro S\u00e9rie C league and competed there in 2015."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000", "doc_id": 1219, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicCompos", "target": ["Jamie Lawrence is the music composer of the 83 minute 'Death on a Factory Farm' film, directed by Sarah Teale.", "Jamie Lawrence wrote the music for the film Death on a Factory Farm, which has a running time of 83 minutes and was directed by Sarah Teale.", "\"Death on a Factory Farm\", with a running time of 83.0 is directed by Sarah Teale, with Jamie Lawrence as the musical composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 482, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["The American Locomotive Company made the ALCO RS-3 between May 1950 and August 1956.", "The ALCO RS-3, built by the American Locomotive Company, was produced between May 1950 and August 1956.", "American Locomotive Company produced the ALCO RS-3 between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | American_Locomotive_Company", "doc_id": 1227, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France | France", "target": ["The University of Burgundy campus is located in Dijon, France.", "The University of Burgundy has its campus in Dijon, France.", "The campus of the University of Burgundy is located in Dijon, France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | campus | Dijon, Dijon | country | France", "doc_id": 333, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Comments Off on What is a sentence?\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete thought.\nA sentence is a group of words that express a complete thought. A sentence is a group of words that express a complete", "target": ["Liselotte Grschebina died on June 14, 1994.", "Liselotte Grschebina died on the 14th of June, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1754, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most popular movies of all time.\nThe following is a list of the top 10 most", "target": ["The film Super Capers, distributed by Lionsgate and starring Justin Whalin, grossed $30,955.", "Super Capers, starring Justin Whalin, had a box office of $30,955. Lionsgate distributed the film.", "\"Super Capers\", a movie distributed by Lionsgate, starred Justin Whalin made a gross income of $30,955."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Lionsgate, Super_Capers | starring | Justin_Whalin, Super_Capers | gross | 30955.0", "doc_id": 306, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer |", "target": ["The Mermaid song is a reggae song by Train that is 3:16 long. It was written by Amund Bjorklund and produced by Stargate. The song is followed by \u201cImagine\u201d by John Lennon.", "The song Mermaid is a reggae song that lasts 3.16 minutes in length and is written under the team Stargate that was led by Amund Bjorklund. This song was followed by the cover Imagine of John Lennon.", "The Train followed their song Mermaid, which is an example of the reggae genre, was written by Amund Bj\u00f8rklund, produced by Stargate, and has a length of 3 minutes and 16 seconds, with Imagine, a song by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | writer | Stargate_(production_team), Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 766, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album) | genre | Doom, Nord_(Year_of_No_Light_album", "target": ["The album titled Year of No Light was released on June 9, 2006 by the sludge metal and post metal band, Nord.", "The Year of No Light album Nord, released on the date 2006-09-06, is in the sludge and post-metal genre.", "The album Nord, released on September 6, 2006 is in the sludge metal and post-metal genres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | genre | Post-metal", "doc_id": 1366, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Business, Management, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Finance, Accounting, Accounting, Finance, Accounting, Finance, Accounting, Accounting", "target": ["Olga Bondareva's professional field is Economics.", "Olga Bondareva is an economist.", "Olga Bondareva currently works in the field of Economics."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | professionalField | Economics", "doc_id": 74, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state", "target": ["Bionico is a food found in Guadalajara, Mexico.", "Bionico is a dessert that is found in Guadalajara, Mexico.", "Bionico is a food found in Mexico from the Guadalajara region."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | region | Guadalajara, Bionico | country | Mexico", "doc_id": 471, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate | birthPlace | deathDate |", "target": ["Grigory Neujmin, born on Jan 1, 1886, discovered the 1147 Stavropolis.", "1147 Stavropolis was discovered by Grigory Neujmin born on January 1, 1886.", "Grigory Neujmin, born on January 1, 1886, discovered 1147 Stavropolis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, Grigory_Neujmin | birthDate | 1886-01-01", "doc_id": 1052, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the", "target": ["The Bedford Aerodrome has a runway named \"08/26\".", "Bedford Aerodrome has a runway called 08/26.", "The Bedford Aerodrome runway name is 08/26."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 138, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Saint Petersburg was founded on May 27, 1703.", "Saint Petersburg was founded on 1703-05-27."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSaint_Petersburg | foundingDate | 1703-05-27", "doc_id": 1703, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English| <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a href=\"https://en.wikipedia.org/wiki/Nie_Haisheng\" target=\"_blank\">Nie_Haisheng</a> <a", "target": ["Nie Haisheng was born on October 13, 1964.", "Nie Haisheng was born on 10/13/1964.", "Nie Haisheng was born on the 13th of October, 1964."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthDate | 1964-10-13", "doc_id": 1712, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) | runtime | 35.1 sec.\nTurn_Me_On (album) |", "target": ["The total length of the Turn Me On album is 35 minutes 10 seconds.", "The runtime of the album Turn Me On is 35.1 minutes.", "The run time of the album Turn Me On is 35.1 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1", "doc_id": 1125, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy", "target": ["The University of Burgundy is located in France, where one of the leaders is Claude Bartolone.", "The University of Burgundy is in France which is led by Claude Bartolone.", "Claude Bartolone is the leader of France, the location of the University of Burgundy."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | country | France, France | leader | Claude_Bartolone", "doc_id": 98, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["The total area of water in New Jersey is 3,544 square kilometers.", "New Jersey has an area of water that is 3,544.04.", "New Jersey has an area of water that is 3, 544.04 km^2."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNew_Jersey | areaOfWater | 3544040000.0", "doc_id": 1670, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | Dijon, France | D", "target": ["The University of Burgundy which is located in the city of Dijon has 27400 students, of which 16800 are undergraduates and 1299 are doctoral students. It has 2900 staff members.", "With a total of 16800 undergraduates, 2900 staff and a total student body of 27400, the university of Burgundy is located on a campus in Dijon. It currently has 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, University_of_Burgundy | city | Dijon", "doc_id": 607, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The following is a list of the key people in the text.\nThe following is a list of the key events in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the text.\nThe following is a list of the key words in the text.\nThe following is a list of the key phrases in the", "target": ["One key person of Lionsgate is Jon Feltheimer.", "One of the key people in Lionsgate is Jon Feltheimer.", "Lionsgate is a company with Jon Feltheimer as a key person."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | keyPerson | Jon_Feltheimer", "doc_id": 1396, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album) | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_", "target": ["The rock album Bootleg Series Volume 1: The Quine Tapes by the Velvet Underground was preceded by the album Squeeze.", "The Velvet Underground album Squeeze was followed by the rock album, The Bootleg Series Volume I: The Quine Tapes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album)", "doc_id": 1367, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| United Kingdom | age: 23.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first", "target": ["Brandon Carter was born in England.", "Brandon Carter's birth place was England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | birthPlace | England", "doc_id": 695, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm", "target": ["'Death on a Factory Farm' was produced by Tom Simon and Sarah Teale, and was also directed by both of them.", "Death on a Factory Farm was produced and directed by Sarah Teale and Tom Simon.", "Tom Simon and Sarah Teale both directed and produced \u2018Death on a Factory Farm'."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | producer | Sarah_Teale, Death_on_a_Factory_Farm | director | Sarah_Teale", "doc_id": 514, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | established | 2000, 14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category", "target": ["The 11th Mississippi Infantry Monument was established in the year 2000 in Adams County, Pennsylvania, USA and falls under the category of contributing property. To the southeast of Adams County, lies Carroll County, Maryland.", "Carroll County Maryland is southeast of Adams County Pennsylvania, USA, the location of the 11th Mississippi Infantry Monument which is categorised as a contributing property. The monument was erected in the year 2000.", "The 11th Mississippi Infantry Monument, erected in 2000, is located in Adams County, Pennsylvania, United States. It is categorized as a contributing property. Carroll County, Maryland is to the southeast of Adams County, Pennsylvania."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 1458, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_", "target": ["Lady Anne Monson was born in Darlington on January 1, 1726, and died on February 18, 1776.", "Born in Darlington on January 1, 1726, Lady Anne Monson died on February 18th, 1776.", "Lady Anne Monson was born in Darlington on the 1st of January, 1726 and died on the 18th of February, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 506, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Istanbul, Turkey.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Tesvikiye was the primary residence of Nurhan Atasoy.", "Nurhan Atasoy resides in Te\u015fvikiye.", "Nurhan Atasoy resides in Tesvikiye."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Te\u015fvikiye", "doc_id": 1533, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Ciudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leaderTitle | \"City Manager\"\nCiudad_Ayala | leader", "target": ["The leader title for Ciudad Ayala is City Manager.", "One of the leaders of Ciudad Ayala is the City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | \"City Manager\"", "doc_id": 1662, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian_Kelly(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music | Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian_Kelly(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music | Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian_Kelly(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music | Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian_Kelly(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music | Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian_Kelly(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music | Duration: 3:00 min.\nExpect_a_Miracle | artist | Brian", "target": ["Brian Kelly recorded an instrumental music piece called Expect a Miracle.", "Brian Kelly, composer and pianist, created Expect a Miracle, a piece of instrumental music.", "Brian Kelly's \"Expect a Miracle\" is of instrumental music genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 592, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr.,", "target": ["\u201cSuper Capers\u201d is a 98-minute-long movie starring Tom Lister Jr. Distributed by Lionsgate, the film grossed $30,955. Ray Griggs was the director of the film.", "Super Capers is a film directed by Ray Griggs starring Tom Lister Jr. The film is 98 minutes long. Lionsgate served as a distributor for the film that ultimately grossed $30,955.", "The box office $30,955.00 film, Super Capers, with a running time of 98 minutes, starring Tom Lister Jr., was distributed by Lionsgate and directed by Ray Griggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Lionsgate, Super_Capers | director | Ray_Griggs_(director), Super_Capers | runtime | 98.0, Super_Capers | starring | Tom_Lister,_Jr., Super_Capers | gross | 30955.0", "doc_id": 284, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| type_id | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type_name | type", "target": ["Chinabank is a public company that was founded on 1920-08-16.", "Chinabank is a publicly traded company that was founded on the 16th of August, 1920.", "Chinabank is a publicly traded company that was founded on 08-16-1920."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | foundingDate | 1920-08-16, Chinabank | type | Public_company", "doc_id": 125, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_Mills | deathPlace | Denham,_Buckinghamshire, England, U.K.\nJohn_", "target": ["The deathplace of John Mills was in Denham, Buckinghamshire.", "John Mills died in Denham, Buckinghamshire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nJohn_Mills | deathPlace | Denham,_Buckinghamshire", "doc_id": 807, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Michigan", "target": ["The Pontiac Rageous was a car manufactured by Pontiac. It went into production in 1997 and ended the same year. It was assembled in Detroit, Michigan.", "The Pontiac Rageous is manufactured by Pontiac and was first produced in 1997 in Detroit, Michigan. The Pontiac Rageous was also last produced in the same year.", "The Pontiac Rageous, manufactured by Pontiac, assembled in Detroit Michigan, was first and last produced in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 854, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_Bartz, Death_on_a_Factory_Farm | producer | Geof_", "target": ["Geof Bartz edited Death on a Factory Farm, a film directed and produced by Tom Simon.", "Death on a Factory Farm is directed and produced by Tom Simon, edited by Geof Bartz.", "Tom Simon is the director and producer of Death on a Factory Farm whereas Geof Bartz is the editor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | editor | Geof_Bartz", "doc_id": 699, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrgermeister, Oberb\u00fcrger", "target": ["Karlsruhe, led by the \"Oberb\u00fcrgermeister\", is part of the German Empire. Liselotte Grschebina was born there on May 2, 1908.", "Liselotte Grschebina was born 1908-05-02 in Karlsruhe (lead by Oberb\u00fcrgermeister) within the German Empire.", "Liselotte Grschebina was born in Karlsruhe in the German Empire on May 2, 1908. The leader of Karlsruhe is called the Oberb\u00fcrgermeister."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | birthPlace | Karlsruhe, Karlsruhe | leaderTitle | Oberb\u00fcrgermeister", "doc_id": 1446, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378", "target": ["Grigory Neujmin discovered 1147 Stavropolis on June 11, 1929. 1147 Stavropolis has an apoapsis of 418476000000.0, a periapsis of 260855000000.0 and a rotation period of 20378.5.", "An asteroid 1147 Stavropolis was discovered on 11 June 1929 by Grigory Neujmin. It has the apoapsis of 418476000000.0 AU and the periapsis 260855000000.0 with a rotation period of 20378.5.", "1147 Stavropolis asteroid, discovered by Grigory Neujmin on the 11th of June 1929, has a rotation period of 20378.5. The periapsis of this asteroid is 260855000000 with an apoapsis of 418476000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 639, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_Honeymoon_Killers, Turn_Me_On_(album) | producer | The_", "target": ["The album Turn Me On with the run time of 35.1 minutes was self produced by the American band, the Honeymoon Killers and Wharton Tiers.The album Turn Me On was preceded by the album Let It Breed.", "The Honeymoon Killers produced album Turn Me On in conjunction with Wharton Tiers. The album\u2019s total length is 35 minutes 10 seconds and it was preceded by the Let it Breed album.", "The Honeymoon Killers and Wharton Tiers are the producers of the Turn Me On album which has a total runtime of 35.1 minutes and was preceded by the album Let It Breed."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 957, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course | dessert, dessert, dessert | course", "target": ["Bionico is a dessert food found in Mexico where Enrique Pena Nieto is the leader.", "Bionico is a dessert found in Mexico which is led by Enrique Pena Nieto.", "A dessert found in Mexico, a country led by Enrique Pe\u00f1a Nieto, is Bionico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Bionico | country | Mexico, Mexico | leader | Enrique_Pe\u00f1a_Nieto", "doc_id": 1495, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala | city | Mexico, Ciudad_Ayala |", "target": ["Ciudad Ayala is a city located in Mexico with the population density of 1604.0 and its population of the metropolitan area is 1,777,539, where its UTC offset is -6.The government type of Ciudad Ayala is council-manager government and one of its leaders is called the City Manager.", "Ciudad Ayala an city of metropolitan area 1,777,539 with population density of 1604.0 was lead by the City Manager. It is located in Mexico uses a council-manager government which falls into UTC offset -6 time zone.", "Ciudad Ayala, a city in Mexico with population density and population of 1604 and 1777539 respectively, has a UTC offset of -6. The government type in the city of Ciudad Ayala is council-manager and the leader title is City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | country | Mexico", "doc_id": 479, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group | location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group | location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group | location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group | location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group | location | Santa_Monica,_California, Polydor_Rec", "target": ["Bootleg Series Volume 1: The Quine Tapes was recorded in London by Polydor Records and released by Universal Music Group located in Santa Monica, California.", "The Bootleg Series Volume I: The Quine Tapes is released by the record label Polydor Records, located in London and The Universal Music Group, located in Santa Monica, California.", "The Bootleg Series Volume 1: The Quine Tapes was recorded under the labels Polydor Records and Universal Music Group whose locations are London and Santa Monica, California respectively."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Universal_Music_Group | location | Santa_Monica,_California, Polydor_Records | location | London, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 400, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "1635:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1635:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1636:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1636:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1637:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1637:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1638:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1638:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"\n1639:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1639:_The", "target": ["Virginia DeMarce and Eric Flint wrote 1634: The Bavarian Crisis but Virginia had short stories in the Grantville Gazettes as well, which she wrote before.", "DeMarce short stories in the Grantville Gazettes preceded 1634: The Bavarian Crisis. Its authors are Virginia DeMarce and Eric Flint.", "1634: The Bavarian Crisis, written by Virginia DeMarce and Eric Flint, followed the DeMarce short stories in the Grantville Gazettes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1634:_The_Bavarian_Crisis | author | \"Virginia DeMarce and Eric Flint\", 1634:_The_Bavarian_Crisis | precededBy | \"DeMarce short stories in the The Grantville Gazettes\"", "doc_id": 1263, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Music_stream, Music_video, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_stream, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music_video_download, Music", "target": ["The Train song, Mermaid, was produced by the production team, Espionage, distributes digitally, and followed with a recording of Imagine by John Lennon.", "The song mermaid by Train which is produced by the production team Espionage was followed by the release of Imagine by John Lennon performed by Train and is now available in the digital format.", "The Mermaid song produced by Espionage productions and written by Train is distributed digitally. The song was followed by the group\u2019s song Imagine (initially performed by John Lennon)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | format | Music_download", "doc_id": 962, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayNumber | 3500.0", "target": ["Adolfo Suarez Madrid-Barajas airport is located at San Sebastian de los Reyes. It is operated by ENAIRE and has a runway length of 3500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is in San Sebasti\u00e1n de los Reyes and is operated by ENAIRE. It has a runway length of 3500.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is found in San Sebasti\u00e1n de los Reyes, is operated by ENAIRE and has a runway that is 3,500 long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | San_Sebasti\u00e1n_de_los_Reyes", "doc_id": 1217, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | religion | religion, Lady_Anne_Monson | occupation | occupation, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | height, Lady_Anne_Monson | weight, Lady_Anne_Monson | age, Lady_Anne_Monson | education, Lady_Anne_Monson | occupation, Lady_Anne_Monson | hobbies, Lady_Anne_Monson | interests, Lady_Anne_Monson | occupation, Lady_Anne_Monson | profession, Lady_Anne_Monson | marriage, Lady_Anne_Monson | children, Lady_Anne_Monson | siblings, Lady_Anne_Monson | parents, Lady_Anne_Monson | siblings, Lady_Anne_Monson | grandparents, Lady_Anne_Monson | cousins, Lady_Anne_Monson | second cousins, Lady_Anne_Monson | third cousins, Lady_Anne_Monson | fourth cousins, Lady_Anne_Monson | fifth cousins, Lady_Anne_Monson | sixth cousins, Lady_Anne_Monson | seventh cousins, Lady_Anne_M", "target": ["Lady Anne Monson was born in the Kingdom of England in Darlington, whose OS grid reference is NZ289147. Lady Anne Monson lived in the Kingdom of England, whose dissolution took place in 1707, and held British nationality.", "Lady Anne Monson, born in the Kingdom of England to Darlington (NZ289147), was a national of the Kingdom of England which dissolved in the year 1707.", "English Lady Anne Monson was born in Darlington (grid reference NZ289147) in the Kingdom of England. Of course, this was before its dissolution in 1707."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Kingdom_of_England | dissolutionYear | 1707, Darlington | gridReference | NZ289147, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 593, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Otkrytiye_Arena | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium | stadium |", "target": ["Aleksandr Prudnikov, 185cm tall played for FC Spartak Moscow's youth team. FC Spartak Moscow is based in the Otkrytiye Arena.", "Aleksandr Prudnikov who is 185 cm tall is a member of the youth side of FC Spartak Moscow. The home ground of FC Spartak Moscow is Otkrytiye Arena.", "Aleksandr Prudnikov is 185.0 cm tall and played for the FC Spartak Moscow at the Otkrytiye Arena."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Spartak_Moscow | ground | Otkrytiye_Arena", "doc_id": 69, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear | 1977-01-01, Harold_French | deathYear", "target": ["Terence Rattigan, who died in 1977, wrote the film English Without Tears in co-authorship with Anatole de Grunwald. The film was directed by Harold French, an actor whose career began in 1920.", "The movie English Without Tears was written by Anatole de Grunwald and Terence Rattigan, who died in 1977, and directed by Harold French, who has been acting since 1920.", "English Without Tears is a movie directed by Harold French who became an active actor in 1920. The movie was written by Anatole de Grunwald and Terence Rattigan. Rattigan passed away in 1977."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | director | Harold_French, Terence_Rattigan | deathYear | 1977-01-01, Harold_French | activeYearsStartYear | 1920-01-01, English_Without_Tears | writer | Anatole_de_Grunwald, English_Without_Tears | writer | Terence_Rattigan", "doc_id": 113, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "inhabitants per km\u00b2, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ay", "target": ["One of the leader of Ciudad Ayala (a city) is called City Manager. With a population density of 1604.0.", "Ciudad Ayala is a city with a population density of 1,604. One of the leaders is called the City Manager.", "One of the leaders of Ciudad Ayala, a city with a population density of 1604.0, is the City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 41, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | genre | Easy_", "target": ["Expect a Miracle in the instrumental music genre, an easy listening album lasts 54.56 minutes.", "Expect a Miracle, instrumental music of the easy listening genre, has a runtime of 54.56.", "Expect a miracle is of the easy listening genre of instrumental music genre which has a run time of 54:56."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | runtime | 54.56, Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | genre | Easy_listening", "doc_id": 1568, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_Atasoy | residence | Turkey, Nurhan_", "target": ["Nurhan Atasoy, whose nationality is Turkish, was born in Turkey. He resides in Turkey in Istanbul.", "Nurhan Atasoy was born is Turkey, where he has previously lived in Istanbul. He is of Turkish nationality.", "Nurhan Atasoy (born in Turkey) currently resides in Turkey where she has a residence in Istanbul. Her nationality is that of Turkish people."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | birthPlace | Turkey, Nurhan_Atasoy | nationality | Turkish_people, Nurhan_Atasoy | residence | Turkey", "doc_id": 1657, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sec.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the", "target": ["The album Turn Me On, which has a runtime of 35.1 minutes, is preceded by the album Let It Breed.", "The 35 minutes 10 seconds album Turn Me On was preceded by the album Let It Breed.", "The album Turn Me On, which has a runtime of 35.1 minutes, was preceded by the album Let It Breed."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | runtime | 35.1", "doc_id": 1509, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_", "target": ["'McVeagh of the South Seas', a film distributed by Alliance Films Corporation was directed by Gregory Allen and Harry Carey, an actor born in 1878.", "Gregory Allen directed McVeagh of the South Seas which was distributed by Alliance Films Corporation. Actor Harry Carey, born in 1878, was also a director for the movie.", "Harry Carey is an actor and co-director, along with Gregory Allen, of the movie McVeagh of the South Seas, which was distributed by Alliance Films Corporation."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen", "doc_id": 225, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is Manila.\nThe Philippines is a country in Southeast Asia. It is made up of more than 7,000 islands. The capital city is", "target": ["Chinabank's location is the Philippines.", "Chinabank is located in the Philippines."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | location | Philippines", "doc_id": 30, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_", "target": ["The film McVeagh of the South Seas was produced by the Progressive Motion Picture Company.", "The producer of McVeagh of the South Seas is the Progressive Motion Picture Company.", "McVeagh of the South Seas is produced by the Progressive Motion Picture Company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company", "doc_id": 537, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"T\u00fcrk \u015eehitleri An\u0131t\u0131\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language", "target": ["The Native name of the Baku Turkish Martyrs' Memorial is \"T\u00fcrk Sehitleri Aniti\" which is located in Azerbaijan.", "The native name of the Baku Turkish Martyrs' Memorial is Turk Sehitleri Aniti located in Azerbaijan.", "The native name for the Baku Turkish Martyrs' Memorial is Turk Sehitleri Aniti, which is located in Baku, Azerbaijan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBaku_Turkish_Martyrs'_Memorial | nativeName | \"T\u00fcrk \u015eehitleri An\u0131t\u0131\", Baku_Turkish_Martyrs'_Memorial | location | Azerbaijan", "doc_id": 107, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discoverer | Grigory_Neujmin, discove", "target": ["The apoapsis of 1147 Stavropolis is 418476000000.0. Its orbital period of is 1249.6 days, and it was discovered by Grigory Neujmin.", "1147 Stavropolis was discovered by Grigory Neujmin. Its apoapsis is 418476000000.0 and the orbital period of the asteroid is 1249.6 days.", "1147 Stavropolis, discovered by Grigory Neujmin, has an apoapsis of 418476000000.0 AU and an orbital period of 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin", "doc_id": 1128, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_", "target": ["The popular 1956 film, It's Great to Be Young, starred English actors John Mills and Cecil Parker, and was directed by Cyril Frankel. Cinematography was by Gilbert Taylor, with composition for the musical comedy by Louis Levy. The film's running time is 94 minutes, and, according to the Historical Journal of Film, Radio and Television, was produced for 282,838 pounds.", "John Mills and Cecil Parker star in the movie It\u2019s Great to be Young which was released in 1956. Gilbert Taylor was the cinematographer and the movie last for 94 minutes. Louis Levy composed the music. Cyril Frankel directed the movie and helped get the movie 282,838 pounds during box office.", "It\u2019s Great to be Young is a 1956 movie that last for 94 minutes. It is starring Cecil Parker and John Mills. Gilbert Taylor is the cinematographer and the director is Cyril Frankel. It made 282,838 pounds in income. Louis Levy composed the music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | cinematography | Gilbert_Taylor, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, It's_Great_to_Be_Young_(1956_film) | musicComposer | Louis_Levy, It's_Great_to_Be_Young_(1956_film) | starring | Cecil_Parker", "doc_id": 363, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfProfessors | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssist", "target": ["The University of Burgundy has 27400 students. The Number of doctoral students is 1299 and 16800 are undergraduate students.", "The University of Burgundy has 16800 undergraduate students, 1299 doctoral students, and 27400 students.", "The University of Burgundy is home to 27400 students: 16,800 of whom are undergraduates and 1299 of whom are doctoral."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 1032, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm", "target": ["Death on a Factory Farm is a HBO film produced and directed by Tom Simon. Jamie Lawrence wrote the music.", "HBO broadcasted film, Death on a Factory Farm, was directed and produced by Tom Simon. Jamie Lawrence composed the music.", "Tom Simon is the director and producer of the film 'Death on a Factory Farm', which broadcast on HBO and featured Jamie Lawrence as the music composer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence", "doc_id": 135, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language", "target": ["The orbital period of the asteroid 1147 Stavropolis is 1249.6 days.", "The orbital period of 1147 Stavropolis is 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | orbitalPeriod | 1249.6", "doc_id": 1747, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| singer | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer | John Lennon | producer |", "target": ["Train followed Mermaid with Imagine, a song by John Lennon was produced by the production team Espionage and written by Pat Monahan.", "The Train song Mermaid, written by Pat Monahan and produced by the Espionage production team, is followed by the John Lennon song Imagine.", "The song Mermaid by Train (written by Pat Monahan and produced by Espionage) was followed by the release of Imagine by John Lennon performed by Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | writer | Pat_Monahan", "doc_id": 1645, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | dateOfRetirement | \"1944-08-01\", Alan_Shepard | birthDate | \"1923-11-", "target": ["Alan Shepard was born in November 18th, 1923 in New Hampshire, retired on 1974-08-01 and died in California.", "Alan Shepard was born on November, 18 of 1923 in the state of New Hampshire and died in California. He retired in August of 1974.", "Alan Shepard was born on Nov 18, 1923 in New Hampshire, retired 1st of August 1974 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | dateOfRetirement | \"1974-08-01\", Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 800, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Optimization of a system of equations.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text", "target": ["Darinka Dentcheva is a mathematician working in the field of mathematical optimization.", "Darinka Dentcheva is a professional in the field of mathematical optimization.", "Darinka Dentcheva's professional field is Mathematical optimization."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | professionalField | Mathematical_optimization", "doc_id": 467, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will", "target": ["After the release of Let It Breed, Turn Me On has a 35.1 minute runtime and was followed by Take It Off.", "At 35.1 minutes long, Turn Me On was followed by Take It Off and preceded by Let It Breed.", "Turn Me On album was preceded by the Let it Breed album where the total length is 35 minutes 10 seconds and was followed by Take It Off album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | followedBy | Take_It_Off!", "doc_id": 421, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy | France | University of Burgundy", "target": ["The University of Burgundy is in France.", "The University of Burgundy is located in France."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | country | France", "doc_id": 866, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bill_Oddie | birthPlace | Rochdale, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bill_Oddie | birthPlace | Rochdale, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.", "target": ["Born in Rochdale, the actor Bill Oddie starred in the Broadcasting House based BBC children's show Bananaman. The show aired in 1983.", "Bill Oddie from Rochdale starred in Bananaman which was broadcasted by the BBC and first aired on 10/03/1983. BBC is based at Broadcasting House.", "On the 3rd of October, 1983, the BBC (headquartered at Broadcasting House) first aired the TV series Bananaman starring Rochdale's Bill Oddie."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bill_Oddie | birthPlace | Rochdale, Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 233, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["Zaoyang time zone is UTC +8.", "Zaoyang has a UTC offset of +8.", "The city of Zaoyang falls into UTC offset +8."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nZaoyang | utcOffset | +8", "doc_id": 1485, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | status | \"Deceased\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | status | \"Deceased\"\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963,", "target": ["Alan Shepard, an American, who went to school at NWC and graduated with an MA in 1957 and who was the Chief of the Astronaut Office in 1963, was born in New Hampshire on Nov 18, 1923 and died in California.", "Alan Shepard was an American, born November 18th, 1923 in New Hampshire and he died in California. He graduated from NWC with an M.A. in 1957 and was the Chief of the Astronaut Office in 1963.", "Alan Shepard is a US national who was born in New Hampshire in November of 1923 and died in California. He graduated from NWC with an MA in the year 1957 and subsequently served as Chief of the Astronaut Office from 1963."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | nationality | United_States, Alan_Shepard | servedAsChiefOfTheAstronautOfficeIn | 1963, Alan_Shepard | deathPlace | California, Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | status | \"Deceased\"", "doc_id": 1400, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", It's_Great_to_Be_Young_(1956_film) | cast | John_Mills, It's_Great_to_Be_Young_(1956_film) | rating | 4.0 | IMDb | user:Cyril_Frankel | IMDb user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel | user:Cyril_Frankel", "target": ["It's Great to Be Young, a 1956 film directed by Cyril Frankel, received \u00a3282,838. John Mills plays the lead in this 94-minute long movie.", "It's Great to be Young is a 1956 movie starring John Mills and it is 94 minutes long. The director was Cyril Frankel and the cost of production was 282838 pounds.", "The 94-minute movie It's Great to Be Young, which has taken 282,838 pounds at the box office, was come up with John Mills as main role and Cyril Frankel as director."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | runtime | 94.0, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0, It's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel", "doc_id": 544, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude | absolute magnitude", "target": ["1147 Stavropolis discovered by Grigory Neujmin with apoapsis of 418476000000.0 has an absolute magnitude of 11.5 .", "1147 Stavropolis, discovered by Grigory Neujmin, has an apoapsis of 418476000000.0 and an absolute magnitude of 11.5.", "1147 Stavropolis absolute magnitude is 11.5. The apoapsis of the asteroid is 418476000000.0 AU, and its discoverer is Grigory Neujmin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | absoluteMagnitude | 11.5", "doc_id": 463, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | releaseDate", "target": ["English Without Tears was released on 1944-07-28.", "The movie English Without Tears' release date is 07-28-1944.", "English Without Tears is a film released on 28th July 1944."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | releaseDate | 1944-07-28", "doc_id": 1599, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany, India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany, India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany, India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany, India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany, India, India |", "target": ["India's total population is 1,293,057,000 and the country\u2019s demonym is Indian. Lady Anne Monson, born January 1, 1726, known for her study of botany, resided here most of her life.", "Lady Anne Monson was born on 01-01-1726 and was in the professional field of botany. Her residence is in India, which has a total population of 1, 293, 057, 000 and whose demonym for people from India is called Indian.", "Lady Anne Monson, who was born on the date January 1, 1726, currently resides in India where the total population is 1293057000 and demonym for a person from India is Indian and she works in the professional field of Botany."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | residence | India, India | demonym | Indian, India | populationTotal | 1293057000, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | professionalField | Botany", "doc_id": 742, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate | deathDate |", "target": ["Jamie Lawrence, born on 03-08-1970, is the music composer of Death on a Factory Farm.", "The movie \"Death on a Factory Farm\" contains music composed by Jamie Lawrence, who was born on 03/08/1970.", "Jamie Lawrence, who was born on March 8th, 1970 wrote music for the film \"Death on a Factory Farm\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Jamie_Lawrence | birthDate | 1970-03-08", "doc_id": 722, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs, English", "target": ["English without Tears is a 89 minute movie that was released on July 28th, 1944. The editor is Alan Jaggs and the music composer is Nicholas Brodszky.", "The film English Without Tears, released July 28, 1944, was edited by Alan Jaggs. The music heard in the movie was composed by Nicholas Brodszky. The movie runs for 89 minutes.", "English Without Tears was released on July 7th 1944. The editing of the film is done by Alan Jaggs and the music was made by Nicholas Brodszky. It was 89 minutes long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | editing | Alan_Jaggs", "doc_id": 1460, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| University of Cambridge | English | English Language | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency | English Language Proficiency |", "target": ["University of Cambridge is located in England.", "The University of Cambridge is located in the country of England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Cambridge | country | England", "doc_id": 1055, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | releaseLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | releaseLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | releaseLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | releaseLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41,", "target": ["The Year of No Light album Nord was released on the date 2006-09-06 which runs 58.41 minutes, whose record is labelled by E-Vinyl. It was preceded by Year of No Light's album Demo 2004.", "The Year of No Light's album, Demo 2004, was released prior to the June, 6, 2006, release date of the band's album, Nord. An E-Vinyl record label production, the Year of No Light album, Nord, is 58.41 minutes long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | recordLabel | E-Vinyl, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album)", "doc_id": 1138, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | occupation, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | occupation, Liselotte_Grschebina | education, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grschebina | occupation, Liselotte_Grsche", "target": ["Liselotte Grschebina was born within the German Empire and died in Petah Tikva. Grschebina attended the school of Applied Arts in Stuttgart.", "Liselotte Grschebina was born in the German Empire. She did her studies at the School of Applied Arts in Stuttgart and died in Petah Tikva.", "Liselotte Grschebina was born in the German Empire, attended the school of Applied Arts in Stuttgart and died in Petah Tikva."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 1256, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy", "target": ["The University of Burgundy, located in Dijon, employs 2900 staff members including 1299 doctoral students.", "In Dijon, 2900 staff members from the University of Burgundy service the student body which includes 1299 doctoral students.", "The University of Burgundy in Dijon has 2900 staff members and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon", "doc_id": 798, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_Rivlin | Israel | leader | Reuven_R", "target": ["One of the leaders of Israel is Reuven Rivlin.", "The leader of Israel is Reuven Rivlin.", "Israel's leader is Reuven Rivlin."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIsrael | leader | Reuven_Rivlin", "doc_id": 223, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "m.\nThe representation of the sentence is a sentence tree. The tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.\nThe tree is a tree of sentences. The tree is a tree of sentences.", "target": ["Karlsruhe has an elevation of 115 metres above sea level.", "Karlsruhe is 115 meters above sea level.", "Karlsruhe is 115.0 meters above sea-level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKarlsruhe | elevationAboveTheSeaLevel | 115.0", "doc_id": 1294, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny", "target": ["Aleksandr Prudnikov is a member of FC Spartak Moscow youth team and FC Terek Grozny club. The latter club is based in Grozny.", "Aleksandr Prudnikov played for FC Spartak Moscow's youth team and currently plays for FC Terek Grozny. FC Terek Grozny's ground is at Grozny.", "Aleksandr Prudnikov played for the youth FC Spartak Moscow before playing for FC Terek Grozny, which is located in Grozny."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | club | FC_Terek_Grozny", "doc_id": 1418, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Frederick_County,_Maryland | hasToItsNorthwest | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasToItsNorthEast | Frederick_County,_Maryland, Frederick_County,_Maryland | hasTo", "target": ["Frederick County Maryland is southwest of Adams County Pennsylvania which is home to the 11th Mississippi Infantry Monument.", "Frederick County, Maryland is to the southwest of Adams County, Pennsylvania, where the 11th Mississippi Infantry Monument is located.", "The location of the 11th Mississippi Infantry Monument is Adams County, Pennsylvania, which has Frederick County, Maryland to its southwest."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland", "doc_id": 275, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All_India_Council_for_Technical_Education | location | Bangalore | Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka | All_India_Council_for_Technical_Education | location | Bangalore | Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka | All_India_Council_for_Technical_Education | location | Bangalore | Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state |", "target": ["The Acharya Institute of Technology is located in the state of Karnataka and is affiliated to Visvesvaraya Technological University. The All India Council for Technical Education which is located in Mumbai gave the institute Technical Campus status. The address for the campus is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, the campus of the Acharya Institute of Technology is in the state of Karnataka. The institute is affiliated with the Visvesvaraya Technological University. It was given Technical Campus status by the Mumbai based All India Council for Technical Education.", "Located in the state of Karnataka, the Acharya Institute of Technology is based at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090. It is affiliated with Visvesvaraya Technological University and was given Technical Campus status by the All India Council for Technical Education, based in Mumbai."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 1487, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | nationality |", "target": ["Liselotte Grschebina, born in Karlsruhe on May 2, 1908, was a professional photographer. She is an Israeli national who died in Israel on June 14, 1994.", "Liselotte Grschebina, born in Karlsruhe on 1908-05-02, is an Israeli photographer. She died on the 14th of June, 1994 in Israel.", "Liselotte Grschebina was born on May 2nd, 1908 in Karlsruhe. She was a professional photographer. Her nationality was Israeli. Liselotte Grschebina died on June 14, 1994 in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 190, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media_company | type | Media", "target": ["Felipe Gozon is the key person on GMA New Media, which is a company whose industry is mass media. GMA New Media, Inc, is a media company in the entertainment industry.", "Felipe Gozon is a key person at the mass media and entertainment company GMA New Media.", "Felipe Gozon is the key figure of GMA New Media. GMA New Media Inc. is involved in the mass media industry, and produce and offer media applications to the entertainment industry."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | industry | Mass_Media, GMA_New_Media | keyPerson | Felipe_Gozon, GMA_New_Media | industry | Entertainment, GMA_New_Media | type | Media_company", "doc_id": 1312, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| CTO | CFO | COO | COO | CFO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO | CFO | COO | COO | COO | COO | CFO | COO | COO | COO |", "target": ["Hypermarcas is managed by their CEO.", "The key person in Hypermarcas is the CEO.", "The key person in Hypermarcas is their CEO.", "The CEO is the key person in Hypermarcas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | keyPerson | CEO", "doc_id": 1373, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_Spartak_Moscow | coach | Otkrytiye_Arena, FC_", "target": ["Aleksandr Prudnikov plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev, and previously played for FC Spartak Moscow's youth team. FC Spartak Moscow's grounds are the Otkrytiye Arena.", "No longer a youth, when he played football for the FC Spartak Moscow youth team in the Otkrytiye Arena, Aleksandr Prudnikov now plays for the FC Amkar Perm football club, managed by Gadzhi Gadzhiyev.", "Aleksandr Prudnikov is a member of the youth side of FC Spartak Moscow and plays for FC Amkar Perm, which is managed by Gadzhi Gadzhiyev and has the home ground at the Otkrytiye Arena."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, FC_Amkar_Perm | manager | Gadzhi_Gadzhiyev, FC_Spartak_Moscow | ground | Otkrytiye_Arena", "doc_id": 1428, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th", "target": ["Carroll County, Maryland is southeast of Adams County, Pennsylvania and Pennsylvania's Cumberland County is to the north. Adams County is where stands the 11th Mississippi Infantry Monument, which is categorised as a contributing property. The monument is placed in the municipality of Gettysburg.", "The 11th Mississippi Infantry Monument is in Adams County, in the municipality of Gettysburg, Pennsylvania. Adams County has Cumberland County to its north and to its southeast, Carroll County, Maryland. The 11th Mississippi Infantry Monument falls under the category of contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 683, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Entertainment, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Mass_Media, GMA", "target": ["GMA New Media offers services regarding the World Wide Web, including online games, as a mass media and entertainment industry company.", "GMA New Media is in the mass media industry, whose main product is online games. It offers applications in the entertainment industry such as producing web services.", "GMA New Media is an entertainment and mass media organization. They specialize in making games and web sites."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | industry | Mass_Media, GMA_New_Media | product | Online_Game, GMA_New_Media | industry | Entertainment, GMA_New_Media | product | World_Wide_Web", "doc_id": 305, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | director | Anatole_de_Grunwald, English_Without_Tears | editor | Alan_Jaggs, English_Without_Tears | producer | Anatole_", "target": ["\"English Without Tears\" was produced and written by Anatole de Grunwald. The editor for the film was Alan Jaggs.", "English Without Tears was a film whose producer and writer was Anatole de Grunwald and whose editor was Alan Jaggs.", "The movie English Without Tears was written and produced by Anatole de Grunwald, with the editing done by Alan Jaggs."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | editing | Alan_Jaggs, English_Without_Tears | producer | Anatole_de_Grunwald, English_Without_Tears | writer | Anatole_de_Grunwald", "doc_id": 286, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe Quine Tape is a collection of recordings made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were made by the American philosopher John Quine in the early 1960s. The tapes were", "target": ["Released on October 16, 2001, The Bootleg Series Volume I: The Quine Tapes was recorded in St. Louis, Missouri, in the United States. The album, which follows the previous Velvet Underground release Squeeze, is 230:05 long.", "The Bootleg Series Volume 1: The Quine Tapes was recorded in America in St. Louis, Missouri. This was made on October 16th 2001 and was run for 230.05 minutes. This was preceded by the Velvet Underground album Squeeze.", "The Bootleg Series Volume I: The Quine Tapes was recorded in St. Louis Missouri in the United States and was released on 10-16-2001. The album was preceded by the album Squeeze and is 230.05 minutes long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | St._Louis,_Missouri, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | releaseDate | 2001-10-16, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 689, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Width | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Height | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Surface Area | 5,000.0, Adolfo_Su\u00e1rez_Madrid", "target": ["The runway length at Adolfo Suarez Madrid-Barajas airport, which is run by ENAIRE, is 3500 and the airport is 610 metres above sea level.", "ENAIRE is the operating organisation for Adolfo Suarez Madrid-Barajas airport. This airport is situated 610 meters above sea level and has a runway length of 3500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is operated by ENAIRE. The airport has a runway length of 3,500 and is 610.0 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 901, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas is operated by ENAIRE and is 610m above sea level. It has a runway length of 3,500 and the runway name is 18L/36R.", "Adolfo Suarez Madrid-Barajas Airport in Alcobendas is operated by ENAIRE from Madrid. The runway length is 3500 and the airport has an elevation of 610.0 metres above sea level. The runway name of the airport is 18L/36R.", "ENAIRE is the operating organisation for Adolfo Suarez Madrid-Barajas airport which is found in Alcobendas. The runway, which is called 18L/36R, has a length of 3500 and is 610 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"18L/36R\"", "doc_id": 296, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2012-12-27, Imagine_(John_Lennon_song) | precededBy | This'll_Be_My_Year, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon_song) | runtime | 3.16, Imagine_(John_Lennon_song) | writer | Espen_Lind, Imagine_(John_Lennon", "target": ["The song Mermaid by Train was written by Espen Lind and Amund Bjorklund and released on December 27, 2017. The song Mermaid is three minutes and sixteen seconds long. Mermaid is preceded by the song \"This'll Be My Year\" then after by John Lennon's \"Imagine\".", "The Train song Mermaid written by Amund Bj\u00f8rklund and Espen Lind with runtime of 3.16 minutes was released on 27th December 2012. It was preceded by the song This'll Be My Year and was followed by the release of Imagine by John Lennon performed by Train.", "\"Mermaid\", which was the song elected by Train to follow \"This'll be my Year,\" is a 3 minutes and 16 seconds long musical piece written by the songwriting team of Amund Bjorklund and Espen Lind. After the December 27, 2012 release of Mermaid, Train followed up with a rendition of the iconic John Lennon song, \"Imagine.\""], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song)", "doc_id": 1244, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.", "target": ["Distributor of the movie Super Capers is Roadside Attractions.", "Super Capers was distributed by Roadside Attractions.", "Super Capers is a film distributed by Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | distributor | Roadside_Attractions", "doc_id": 595, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gdynia, Gdynia,_Poland | leaderTitle | Mayor of Gd", "target": ["Piotr Hallmann was born in Gdynia, Poland which is led by the mayor.", "Piotr Hallmann was born in Gdynia, Poland, which has a mayor as one of its leaders.", "Piotr Hallmann was born in Gdynia, Poland which is under the leadership of mayor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthPlace | Gdynia,_Poland, Gdynia,_Poland | leaderTitle | Mayor", "doc_id": 1511, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 324720797 | population densityTotal | 3247", "target": ["The total population of the United States is over three hundred and twenty four million.", "Total United States population is 324,720,797.", "The total population of the United States is 324720797."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | populationTotal | 324720797", "doc_id": 505, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas (operated by ENAIRE in Madrid, Spain), that is located 610.0 metres above sea level, has a 4349.0 metres long runway named 14L/32R.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas, 610 meters above sea level. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is named 14L/32R and is 4,349 meters long.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas, operated by ENAIRE in the city of Madrid, is 610 metres above sea level, with a runway named 14L/32R that is 4349 metres long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14L/32R\"", "doc_id": 355, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient | \"Coconut\", Bionico | country | language | food | dessert | main ingredient |", "target": ["Sour cream, chopped fruits, condensed milk, granola, raisins and shredded coconut are the main ingredients in Bionico which is a dessert served in Mexico where the local currency is the peso.", "Bionico is a dessert food found in Mexico. Chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins are the main ingredients in Bionico. The currency of Mexico is the Peso.", "Bionico is a dish served for dessert in Mexico where the currency is the peso. The main ingredients of Bionico are chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Bionico | country | Mexico", "doc_id": 96, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro", "target": ["The Campeonato Brasileiro S\u00e9rie C league in Brazil includes Agremia\u00e7\u00e3o Sportiva Arapiraquense, otherwise known as \"Alvinegro,\" which is located in the Estadio Municipal Coaracy da Mata Fonseca in Arapiraca and has 17000 members.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and nickname Alvinegro play in the Campeonato Brasileiro S\u00e9rie C league in Brazil.", "The Estadio Municipal Coaracy da Mata Fonseca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense in Arapiraca. Agremia\u00e7\u00e3o Sportiva Arapiraquense, which has 17000 members, with a nickname \"Alvinegro\" play in the Campeonato Brasileiro S\u00e9rie C league that is from Brazil."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | nickname | \"''Alvinegro\", Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 1531, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "cm, weight | 70 kg, Piotr_Hallmann | nationality | Polish | religion | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | occupation | hobbies | interests | family | education | hobbies | interests | family | education | occupation | hobbies | interests | family | education | hobbies | interests | family | education | hobbies | interests | family | education | hobbies | interests | family | education | hobbies | interests | family | education | hobbies | interests | family | education |", "target": ["Born on August 25, 1987, Piotr Hallmann was 175.26 cm tall.", "Born on August 25th, 1987, Piotr Hallmann stands at 175.26 cm tall.", "Piotr Hallmann is 175.26 cm tall and was born on August 25, 1987."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | birthDate | 1987-08-25, Piotr_Hallmann | height | 175.26", "doc_id": 760, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | United_States, Abraham_A._Ribicoff | occupation | United_States, Abraham_A._Ribicoff | education | United_States, Abraham_A._Ribicoff | occupation, Abraham_A._Ribicoff | hobbies, Abraham_A._Ribicoff | interests, Abraham_A._Ribicoff | favorite things, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite music, Abraham_A._Ribicoff | favorite TV shows, Abraham_A._Ribicoff | favorite sports, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite websites, Abraham_A._Ribicoff | favorite music, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite TV shows, Abraham_A._Ribicoff | favorite books, Abraham_A._Ribicoff | favorite movies, Abraham_A._Ribicoff | favorite music, Abraham", "target": ["In the United States, Abraham A. Ribicoff was born and later married Casey Ribicoff.", "Abraham A. Ribicoff was born in the United States, and his spouse was Casey Ribicoff.", "Abraham A Ribicoff was born in the United States and his wife is Casey Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | nationality | United_States", "doc_id": 812, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | religion | ethnicity | nationality | ethnicity | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality | nationality |", "target": ["Israeli national Liselotte Grschebina was born in Karlsruhe on May 2, 1908, and died on June 14, 1994.", "Israeli Liselotte Grschebina was born in Karlsruhe on May 2, 1908 and died on June 14, 1994.", "Liselotte Grschebina was as Israeli national born in Karlsruhe on May 2, 1908 and died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | nationality | Israel", "doc_id": 269, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England | age | height | weight | net worth | occupation | education | hobbies | interests | family | friends | religion | occupation | occupation | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession | profession |", "target": ["Lancashire native Bill Oddie starred in Bananaman, a story created by Steve Bright filmed in London at Broadcasting House, the home of the BBC who also broadcast it.", "The children's show Bananaman, created by Steve Bright and starring Lancashire born Bill Oddie, was broadcast by the BBC. The BBC is a London based broadcasting house.", "The headquarters of the BBC is called Broadcasting house. The BBC showed a tv series titled, Bananaman, which was created by Steve Bright and starred Bill Oddie, who was born in Lancashire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC, Bill_Oddie | birthPlace | Lancashire", "doc_id": 686, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.", "target": ["Super Capers is a 98.0 minute long English-language film starring Michael Rooker and Tom Sizemore. The film was edited by Stacy Katzman and distributed by Roadside Attractions.", "Super Capers is an English-language movie that stars Michael Rooker and Tom Sizemore. It is edited by Stacy Katzman. The movie is 98 minutes long and distributed by Roadside Attractions.", "Super Capers is an English-language film that is 98 minutes long, distributed by Roadside Attractions, edited by Stacy Katzman and stars Tom Sizemore and Michael Rooker."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | editing | Stacy_Katzman, Super_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | runtime | 98.0, Super_Capers | distributor | Roadside_Attractions", "doc_id": 601, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| lyrics | I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the", "target": ["The John Lennon song Imagine is in the genre of pop music.", "John Lennon's \"Imagine\" is a song in the pop genre.", "Imagine is a pop song by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nImagine_(John_Lennon_song) | genre | Pop_music", "doc_id": 1096, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_blues | stylisticOrigin | Garage_rock, Punk_", "target": ["The album Turn Me On is punk blues, a genre which originated from the earlier garage rock sound.", "Punk blues' is the genre of the album Turn Me On and its origin is garage rock.", "The genre of Turn Me On is punk blues, whose stylistic origin is garage rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Punk_blues | stylisticOrigin | Garage_rock", "doc_id": 1221, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | deathDate | 17", "target": ["Lady Anne Monson whose nationality was with the Kingdom of England, had a residence in India and died on February 18, 1776.", "Lady Anne Monson, a British national, lived in England but spent most of her life in India. She died on the 18th of February 1776.", "Lady Anne Monson is an English woman who resided in India; she passed away 1776-02-18."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | nationality | Kingdom_of_England, Lady_Anne_Monson | residence | India, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 1234, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| UTC+5, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|English, Ciudad_Ayala | lat/long|", "target": ["Ciudad Ayala is a part of Morelos and located in the country of Mexico. Ciudad Ayala's elevation above the sea level is 1147.0 and the, the UTC offset is -6 and the time zone is PDT. The population of the metropolitan area of Ciudad Ayala is 1,777,539.", "The population of the metropolitan area of Ciudad Ayala, a part of Morelos, Mexico, located at 1147.0 above sea level, is 1,777,539, and the UTC offset for this Pacific Daylight Time zone area is -6.", "Ciudad Ayala is in the Morelos part of Mexico. The city\u2019s metro area has population of 1,777,539 people. The city is 1147 m above sea level and is located in UTC offset -6 in the Pacific Daylight Time time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time", "doc_id": 182, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"The Eagle\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Buzz Aldrin was a crew member of Apollo 11,he is retired.", "Buzz Aldrin (now retired) was an Apollo 11 crew member.", "Buzz Aldrin who is now retired was a crew member on Apollo 11."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBuzz_Aldrin | status | \"Retired\", Buzz_Aldrin | mission | Apollo_11", "doc_id": 304, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Discovered in 1927 by Grigory Neujmin, 1147 Stavropolis has an apoapsis of 418476000000 and an orbital period of 1249.6 days.", "The asteroid 1147 Stavropolis was discovered by Grigory Neujmin on the 11th of June 1929. It has an orbital period of 1249.6 days and an apoapsis of 418476000000.0.", "1147 Stavropolis is an asteroid, discovered on 11 June 1929 by Grigory Neujmin. Its apoapsis is 418476000000.0 AU and the orbital period is 1249.6."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discoverer | Grigory_Neujmin, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 59, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | 23.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["Piotr Hallmann was born in Gdynia, Poland and weighs 70.308 kilograms.", "Piotr Hallmann weighs 70.308 kg and was born in Gdynia, Poland.", "Piotr Hallmann was born in Gdynia, Poland and weighs 70.308kg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPiotr_Hallmann | weight | 70.308, Piotr_Hallmann | birthPlace | Gdynia,_Poland", "doc_id": 548, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf | Morelos, Ciudad_Ayala | isPartOf |", "target": ["Ciudad Ayala, with a UTC offset of -6, is a city that is part of Morelos with a council-manager type of government that is led by a Governator.", "Led by a governator, the city of Ciudad Ayala is a part of the state of Morelos. Its UTC offset is -6 and it is run by a council-manager government.", "Ciudad Ayala, in the UTC offset -6 time-zone, is a city in Morelos that has a council-manager type of government and whose leader is called the governator."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | type | City, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | isPartOf | Morelos", "doc_id": 1296, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType | Concrete surfaceType |", "target": ["The location of Bedford Aerodrome is Thurleigh which has an area code of 01234. The aerodrome has a runway named 08/26 and is made of concrete.", "Bedford Aerodrome is located in Thurleigh, which has the area code 01234. Bedford Aerodrome has a runway named 08/26, which is made of concrete.", "Bedford Aerodrome is located in Thurleigh, which has an area code of 01234. This airport has an runway called 08/26, which is made out of concrete."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh, Thurleigh | areaCode | 01234, Bedford_Aerodrome | runwayName | \"08/26\", Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 415, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner", "target": ["The Mason School of Business is located in Alan B. Miller Hall on the College of William and Mary's campus in Virginia.", "The Mason School of Business are the current tenants of Alan B Miller Hall, located in Virginia and owned by the College of William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 326, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and then the natural language.\nI will show the representation and", "target": ["The location of Bedford Aerodrome is Thurleigh.", "The Bedford Aerodrome is located in Thurleigh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | location | Thurleigh", "doc_id": 1249, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:", "target": ["Bootleg Series Volume 1: The Quine Tapes of rock genre created and produced by Velvet Underground with 230.05 minutes runtime was recorded through Polydor Records and Universal Music Group record label. It was preceded by the album Squeeze.", "The Bootleg Series Volume I: The Quine Tapes created and produced by the Velvet Underground with runtime of 230:05 was recorded under the Polydor Records and Universal Music Group record labels. The Rock music genre album was preceded by Squeeze by The Velvet Underground.", "The Bootleg Series Volume I: The Quine Tapes created and produced by The Velvet Underground with runtime of 230.05 minutes was released by the record labels Polydor Records and Universal Music Group. The Rock music genre album is preceded by the Velvet Underground album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05, Bootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music, Bootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group", "doc_id": 1401, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff |", "target": ["Ruth Ribicoff was married to Abraham A. Ribicoff who was born and died in the USA, where African Americans are an ethnic group.", "Abraham A. Ribicoff was born and died in the United States where African Americans are an ethnic group. His wife is Ruth Ribicoff.", "Abraham A. Ribicoff was born and died in the United States where African Americans are an ethnic grouping. He was the spouse of Ruth Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans", "doc_id": 973, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time", "target": ["Ciudad Ayala is located in the Pacific Daylight and in the Pacific standard Time Zone. It is a city in Mexico and has a population density of 61.0.", "Ciudad Ayala is a city in Mexico, a country with 61 people per square kilometre. Ciudad Ayala is in the Pacific Standard Time Zone and in Pacific Daylight Time when daylight saving time is being observed.", "Ciudad Ayala, Mexico (population density 61.0) is located in the Pacific Time Zone (PST or PDT)."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | country | Mexico, Mexico | populationDensity | 61.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 293, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaM", "target": ["Olga Bondareva was born on April 27, 1937 and graduated from Leningrad State University. She is currently working in the economic field.", "Olga Bondareva ( born on April 27, 1937) was studying Economics at Leningrad State University.", "Olga Bondareva is an economist born on April 27, 1937. Her alma mater is Leningrad State University."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | professionalField | Economics", "doc_id": 893, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground | producer | The_Velvet_Underground", "target": ["The Velvet Underground band, who produced Bootleg Series Volume I: The Quine Tapes, drew inspiration from the associated group called Theater of Eternal music.", "The producer of the album Bootleg Series Volume 1: The Quine Tapes was the Velvet Underground, which is associated with the group Theatre of Eternal Music.", "The Bootleg Series Volume I: The Quine Tapes is produced by The Velvet Underground who were also associated with the band Theatre of Eternal Music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Velvet_Underground | associatedBand/associatedMusicalArtist | Theatre_of_Eternal_Music, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground", "doc_id": 712, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | producer |", "target": ["Cyril Bruce directed Harry Carey in McVeagh of the South Seas, a film produced by the Progressive Motion Picture Company.", "Harry Carey, a movie actor born in 1878 starred in a film directed by Cyril Bruce, 'McVeagh of the South Seas' which was produced by the Progressive Motion Picture Company.", "McVeagh of the South Seas is a film produced by the Progressive Motion Picture Company, directed by Cyril Bruce, and starring Harry Carey, who was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company, McVeagh_of_the_South_Seas | director | Cyril_Bruce", "doc_id": 235, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | KeyPerson | Felipe_Gozon | GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications, GMA_New_Media | Product | Mobile_Applications", "target": ["Felipe Gozon is a key person in GMA New Media, a company that makes mobile applications.", "Felipe Gozon is the key person of GMA New Media which makes mobile apps.", "Felipe Gozon, is a key person of GMA New Media, which offers products such as mobile applications."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | product | Mobile_Applications, GMA_New_Media | keyPerson | Felipe_Gozon", "doc_id": 808, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["John Mills had a main role in the movie It's Great to Be Young which has taken 282,838 pounds at the box office.", "It's Great to Be Young is a 1956 film which received \u00a3282,838 and featured John Mills in the lead role.", "It's Great to Be Young is a 1956 film starring John Mills,and it cost \u00a3282,838."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | starring | John_Mills, It's_Great_to_Be_Young_(1956_film) | gross | 282838.0", "doc_id": 110, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | genre | Post-metal, Post-rock, Post-rock, Post-metal, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post-rock, Post", "target": ["The band Nord is a sludge metal band that releases post-metal. They have an album called the Year of No light that was released on June 9th 2006, and was under Crucial Blast Label.", "Year of No Light self-produced their album Nord. The album was released under the label Crucial Blast on September 6th, 2006. Nord falls into the sludge metal and post-metal genres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06", "doc_id": 35, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "76-8-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-", "target": ["Former fighter pilot Nie Haisheng is from Zaoyang (UTC + 8).", "Nie Haisheng was born in Zaoyang, which is in the UTC +8 time zone. Nie Haisheng worked as a fighter pilot.", "Nie Haisheng is a fighter pilot who was born in Zaoyang which has a UTC offset of +8."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | occupation | Fighter_pilot, Zaoyang | utcOffset | +8", "doc_id": 613, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 2:00 p.m.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first", "target": ["The Pontiac Rageous was last produced in 1997.", "Production of the Pontiac Rageous ended in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionEndYear | 1997", "doc_id": 1671, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| director | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | director | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer | The_Progressive_Motion_Picture_Company | producer |", "target": ["Harry Carey born in 1878 is starring in the film McVeagh of the South Seas, registered in IMDb with the ID 0004319. The film was produced by Progressive Motion Picture Company.", "McVeagh of the South Seas (IMDb ID 0004319) was produced by the Progressive Motion Picture Company and stars Harry Carey (born in 1878).", "McVeagh of the South Seas with IMDb id of 0004319 which was produced by the Progressive Motion Picture company, starred Harry Carey, who was born in 1878."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company", "doc_id": 1031, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0", "target": ["Gdynia city in Poland has time zone of UTC +2 .", "Gdynia in Poland has a UTC (Coordinate Universal Time) offset of +2.", "Gdynia, Poland has a UTC of +02:00."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGdynia,_Poland | utcOffset | +2", "doc_id": 66, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | deathDate | 1991-12-", "target": ["Olga Nikolaevna Bondareva, was born on April 27 1937 and died in St Petersburg on December 9 1991. A student of Leningrad State University, she was known for the Bondareva-Shapley theorem.", "Born on April 27, 1937, Olga Bondareva (given name Olga Nikolaevna Bondareva), who died on the 9th of December 1991 in Saint Petersburg, is known for the Bondareva-Shapley theorem with the alma mater of Leningrad State University.", "Olga Bondareva, born Olga Nikolaevna Bondareva, was born on April 27, 1937. She graduated from Leningrad State University and is known for the Bondareva-Shapley theorem. Bondareva passed away in Saint Petersburg on December 9th, 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09", "doc_id": 1230, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas (operated by ENAIRE in Madrid, Spain) has a runway named 18R/36L that is 4349 metres long.", "Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas. This airport is operated by ENAIRE, which is located in Madrid, Spain. The runway is named 18R/36L and is 4349 meters long.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas (operated by ENAIRE in Madrid, Spain) has a runway named 18R/36L which is 4,349 metres long."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 4349.0, ENAIRE | city | Madrid, Madrid | country | Spain, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"18R/36L\"", "doc_id": 554, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_metal, Aaron_Turner | genre | Black_", "target": ["Aaron Turner played for Old Man Gloom in Aaron Turner's black metal music.", "Aaron Turner is a Black metal musician who played for Old Man Gloom.", "Aaron Turner played for the band Old Man Gloom and is a performer of black metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Old_Man_Gloom", "doc_id": 1220, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Bionico (served at the dessert course) is a food found in Mexico. The currency in Mexico is the Mexican peso inhabited by the Mexicans. Honey can be added to bionico.", "Bionico is a dessert food that can be made with honey and is found in Mexico. Mexico is inhabited by Mexicans and their currency is the peso.", "Bionico (served at the dessert course) is a food found in Mexico. Honey can be used as a variation in the dish Bionico, the currency in Mexico is the peso inhabited by Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | dishVariation | Honey, Bionico | country | Mexico", "doc_id": 89, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | deathDate | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | nationality |", "target": ["Nie Haisheng is from the People's Republic of China, he was born in Zaoyang, Hubei.", "Nie Haisheng was born in Zaoyang Hubei Province and he is a citizen of the People\u2019s Republic of China.", "Nie Haisheng is from the People's Republic of China, whose birthplace is Hubei and was born in Zaoyang."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthPlace | Zaoyang", "doc_id": 495, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product | World_Wide_Web, GMA_New_Media | product |", "target": ["GMA New Media, which is a company that was founded on January 1, 2000, makes websites and offers products such as mobile applications.", "GMA New Media, a mobile applications company offering services concerning the World Wide Web, was founded on 01-01-2020.", "GMA New Media, which was founded on 1/1/2000, creates mobile apps and produces web services."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | foundingDate | 2000-01-01, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | product | World_Wide_Web", "doc_id": 953, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| religion | education | family | hobbies | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests | books | movies | music | travel | pets | interests", "target": ["Liselotte Grschebina was born in Karlsruhe and has Israeli nationality. In Israel, one of the languages spoken is Modern Hebrew.", "Liselotte Grschebina was born in Karlsruhe and is an Israeli national. In Israel, people speak Modern Hebrew.", "Liselotte Grschebina is an Israeli national who was born in Karlsruhe. Israel's national language is Modern Hebrew."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | nationality | Israel, Israel | language | Modern_Hebrew", "doc_id": 913, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000.0, Super_Capers | budget | 2000000", "target": ["Super Capers is a film that stars Michael Rooker and is distributed by Roadside Attractions and Lionsgate. The budget for the film was $2,000,000.", "Super Capers was a film with a budget of $2,000,000 that starred Michael Rooker. It was distributed by Lionsgate and Roadside Attractions.", "Super Capers is a movie starring Michael Rooker and had a budget of $2,000,000. It was distributed by Lionsgate and Roadside Attractions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | distributor | Roadside_Attractions, Super_Capers | distributor | Lionsgate, Super_Capers | budget | 2000000.0", "doc_id": 1053, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis | apoapsis", "target": ["1147 Stavropolis, discovered on June 11, 1929, has an apoapsis of 418476000000.0 and an orbital period of 1249.6 days.", "1147 Stavropolis was discovered on June 11,1929. Its apoapsis is 418476000000.0 and the orbital period of the asteroid is 1249.6 days.", "1147 Stavropolis, an asteroid discovered on 11 June 1929, has an orbital period of 1249.6 and an apoapsis of 418476000000.0 AU."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | orbitalPeriod | 1249.6, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 143, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City_Manager | City", "target": ["Ciudad Ayala is a city which is led by a City Manager. The population of the metropolitan area of Ciudad Ayala is 1,777,539.", "Ciudad Ayala has a City manager as one of its leaders for this city with a metropolitan area population of 1,777,539 people.", "The population of the metropolitan area of the city of Ciudad Ayala is 1,777,539. One of the leaders of this city is called the City Manager."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | type | City", "doc_id": 346, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationD", "target": ["The population of Ciudad Ayala is 1777539 with a population density of 1604.", "The population of the metropolitan area of Ciudad Ayala is 1,777,539 with a density of 1604.0.", "Ciudad Ayala city has a population density of 1604.0 and the population of the metropolitan area is 1,777,539."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationMetro | 1777539, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 1433, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runway Width | 5,000.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOfTheRunway | end of the runway, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayEndOf", "target": ["The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is located in Alcobendas, 610 metres above sea level. This airport is operated by ENAIRE and has a runway length of 3,500.", "Adolfo Su\u00e1rez Madrid Barajas Airport is found in Alcobendas and is operated by ENAIRE. It has a runway length of 3500.0 and is 610 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 373, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| guitar | bass | vocals | piano | organ | synthesizer | strings | horns | percussion | drums | percussion | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | vocals | bass | drums | drums | vocals | bass | drums | vocals | bass | drums | drums | vocals | bass | drums | drums | vocals | bass | drums | drums | vocals | bass | drums | vocals | drums | vocals | bass | drums | drums | vocals | bass | drums | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums | drums | vocals | drums | vocals | bass | drums |", "target": ["Punk blues, which usually uses a drum kit, is the genre of the album Turn Me On.", "The drum kit is an instrument used in the punk blues genre, which is the genre of Turn Me On.", "Turn Me On is a punk blues album, punk blues uses many instruments, including the drum kit to create their sound."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Punk_blues | instrument | Drum_kit", "doc_id": 935, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turk | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turkic, Turkic | Turk", "target": ["Nurhan Atasoy a Turk (demonym for residents of Turkey) is residing in Istanbul which is located in the +2 UTC timezone.", "Nurhan Atasoy, whose citizenship is Turkish, has a residence in Istanbul. The demonym for people who live in Turkey, which is located in the +2 UTC timezone, is \"Turk\".", "Nurhan Atasoy a Turk citizen (an inhabitant of Turkey) resides in Istanbul which has the UTC offset as +2."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Istanbul, Istanbul | utcOffset | +2, Nurhan_Atasoy | citizenship | Turkey, Turkey | demonym | Turk", "doc_id": 736, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments, and animation. The film is about the death of a young man in a factory farm. The film is a combination of interviews, reenactments,", "target": ["Tom Simon directed and produced the 83 minute movie Death on a Factory Farm which was edited by Geof Bartz and broadcasted by HBO.", "Tom Simon directed and produced the 83 minute movie Death on a Factory Farm which was released by HBO and had Geof Bartz as the editor.", "The HBO film Death on a Factory Farm was produced and directed by Tom Simon. The film, which runs 83 minutes, was edited by Geof Bartz."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 1558, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| IMDb | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm000053988/ | https://www.imdb.com/name/nm", "target": ["The film McVeagh of the South Seas, with the IMDb ID of 0004319, was directed by Cyril Bruce and starred Harry Carey who was born in 1878.", "Harry Carey, born in 1878 stars in McVeagh of the South Seas, a film registered in IMDb, ID 0004319, directed by Cyril Bruce.", "Harry Carey (born in 1878) was an actor in McVeagh of the South Seas, a film (IMDb id, 0004319) directed by Cyril Bruce."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878)", "doc_id": 1626, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density, Ciudad_Ayala | population density", "target": ["Elevated 1147 metres above sea level and with a population density of 1604, the city of Ciudad Ayala in Mexico sits in the Pacific Daylight Timezone.", "Ciudad Ayala (located in the country of Mexico) is in the PDT time zone. Its elevation above sea level is 1147.0 and the city has a population density of 1604.0.", "Based in Mexico, the city of Ciudad Ayala has a population density of 1604, is located in the Pacific Daylight time zone and is 1147 metres above sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | country | Mexico, Ciudad_Ayala | elevationAboveTheSeaLevel | 1147.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | populationDensity | 1604.0", "doc_id": 1635, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthDate | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina | birthdate | Israel, Liselotte_Grschebina |", "target": ["Liselotte Grschebina is an Israeli national. She was born in Karlsruhe in the German Empire and died in Israel.", "Liselotte Grschebina, born in Karlsruhe in the German Empire, is of Israeli nationality. She died in Israel.", "Liselotte Grschebina, of Israeli nationality, was born within the German Empire, in Karlsruhe, and died in Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire", "doc_id": 302, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Math | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer Science | Computer Engineering | Computer", "target": ["Darinka Dentcheva, who is known for Stochastic programming, was born January 1, 1958.", "Darinka Dentcheva, known for her work with stochastic programming, was born on January 1, 1958.", "Darinka Dentcheva, born on January 1, 1958, is known for her work with stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 632, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | runtime | 35.1 min.\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | runtime | 35.1 min.\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | runtime | 35.1 min.\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_", "target": ["The Turn Me On album by Honeymoon Killers, who also happens to be its producer has a runtime of 35.1 minutes. It was preceded by the album Let It Breed.", "The American band, the Honeymoon Killers, self-produced its 35.1 minute album called Turn Me On which was preceded by the album Let It Breed.", "The self-produced album Turn Me On by the American band The Honeymoon Killers has a total runtime of 35 minutes 10 seconds and was preceded by the Let it Breed album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | runtime | 35.1", "doc_id": 220, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07-28, English_Without_Tears | composer | releaseDate | 1944-07", "target": ["English Without Tears is an 89 minute movie that was released on July 7th, 1944. The music was composed by Nicholas Brodszky. Anatole de Grunwald was the producer of the film.", "English Without Tears is a movie produced by Anatole de Grunwald and runs for 89 minutes. The music was made by Nicholas Brodszky and it was released to theaters on July 28th, 1944.", "\u00b4English Without Tears\u00b4, produced by Anatole de Grunwald and released on 28 July 1944, runs for 89 minutes. The songs used in \u00b4English Without Tears\u00b4 were composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 673, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, California, USA, Bootleg_Series_", "target": ["The album Bootleg Series Volume 1: The Quine Tapes by the Velvet Underground was recorded in San Francisco under the Polydor Records record label. It was preceded by the album Squeeze.", "The Bootleg Series Volume 1: The Quine Tapes is preceded by the Velvet Underground album Squeeze. The Bootleg Series Volume 1: The Quine Tapes was recorded through Polydor Records in San Francisco.", "The Quine Tapes, from record label Polydor Records, were recorded in San Francisco and preceded by the album Squeeze."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | precededBy | Squeeze_(The_Velvet_Underground_album), Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco", "doc_id": 1543, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Interests | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food | Lifestyle | Health | Sports | Hobbies | Travel | Food", "target": ["Nie Haisheng is from Hubei in the People's Republic of China.", "Nie Haisheng was born in Hubei province and is a citizen of the people's Republic of China.", "Nie Haisheng was born in Hubei in the People's Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Hubei, Nie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 1009, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) |", "target": ["The band Train followed up \"This'll be my year\" with a 3 minutes, 16 seconds long pop rock song, entitled \"Mermaid.\" Mermaid, which is also considered an example of the reggae genre of music, was written by songwriter, Espen Lind and released on December, 27, 2012.", "The Train song Mermaid, which is an example of the reggae and pop rock genres, was released on 2012-12-27. It was written by Espen Lind and was preceded by the song This'll be my year. The song has a total runtime of three minutes and sixteen seconds.", "The Train song by mermaid is written by Espen Lind. It lasts a total of 3.16 minutes and is from the pop rock and reggae genre. The song was released on December 27th, 2012 and is preceded by the song This'll Be My Year."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | genre | Pop_rock, Mermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae", "doc_id": 447, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| 2010 | 1 min.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list", "target": ["Tom Simon is the director of Death on a Factory Farm.", "\"Death on a Factory Farm\" was directed by Tom Simon.", "Tom Simon directed the film \u2018Death on a Factory Farm\u2019."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon", "doc_id": 1658, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "feet | Adjacent to the airport, the hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart of the city, just a few minutes from the city centre and the main tourist attractions.\nThe hotel is located in the heart", "target": ["ENAIRE is the operating organisation for Adolfo Suarez Madrid-Barajas airport. This airport is situated 610 meters above sea level in Alcobendas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 14, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA_New_Media | industry | Mass_Media, GMA", "target": ["GMA New Media is an entertainment industry, founded on 01-01-2000. More specifically, GMA is in the mass media industry and makes mobile applications. The headquarters are located in the GMA Network Center, in the Philippines. Felipe Gozon is a key person in GMA New Media.", "GMA New Media is a maker of mobile applications in the entertainment industry. Their industry is mass media, and they are headed up by Felipe Gozon. They were founded in the Philippines on January 1, 2000, and are located inside GMA Network Center.", "GMA New Media is located in the GMA Network Center in the Philippines and offers applications in the entertainment industry. It was founded on 01/01/2000, is in the mass industry and makes mobile apps. Felipe Gozon is the key person in GMA New Media."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | foundingDate | 2000-01-01, GMA_New_Media | product | Mobile_Applications, GMA_New_Media | industry | Mass_Media, GMA_New_Media | keyPerson | Felipe_Gozon, GMA_New_Media | location | GMA_Network_Center, GMA_New_Media | location | Philippines, GMA_New_Media | industry | Entertainment", "doc_id": 1287, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff |", "target": ["Abraham A. Ribicoff was born and died in the United States where African Americans are an ethnic group.", "Abraham A.Ribicoff died in the United States. It was also his birthplace. African Americans are an ethnic group in the U.S.A.", "Abraham A Ribicoff was born and died in the United States where African Americans are an ethnic group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans", "doc_id": 19, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will", "target": ["The total area of the city of Detroit is 370.03 square kilometers.", "Detroit has a total area of 370.03 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDetroit | areaTotal | 370.03", "doc_id": 71, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"1634:_The_Bavarian_Crisis\"\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words in the English language.\nThe following is a list of the most common words", "target": ["1634: The Bavarian Crisis which has 448 pages, was written by Eric Flint.", "Eric Flint is the author of the 448 page book, 1634: The Bavarian Crisis.", "Eric Flint wrote 1634: The Bavarian Crisis which contains 448 pages."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1634:_The_Bavarian_Crisis | numberOfPages | \"448\", 1634:_The_Bavarian_Crisis | author | Eric_Flint", "doc_id": 911, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Mumbai, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council", "target": ["The All India Council for Technical Education, located in Mumbai, was proud to give Technical Campus status to the Acharya Institute of Technology, located in Bangalore, India, a city founded by Kempe Gowda I. Dr. G. P. Prabhukumar is the director of the Acharya Institute of Technology. The campus address is Acharya Institute of Technology, Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The Acharya Institute of Technology is located in India in the city of Bangalore, a city which was founded by Kempe Gowda I, its director is Dr. G. P. Prabhukumar and it was given 'Technical Campus' status by the All India Council for Technical Education which is located in Mumbai. The address of the campus is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The city of Bangalore, founded by Kempe Gowda I, is home to the Acharya Institute of Technology, a Technical Campus designated by the All India Council for Technical Education of Mumbai, located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, India, and directed by Dr. G.P. Prabhukumar."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 1200, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English | English", "target": ["The demonym for people from the United States is American.", "People from the United States are called Americans.", "The demonym for someone from the United States is American."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | demonym | American", "doc_id": 459, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_Nolasco | Juan_N", "target": ["The leader of Ciudad Ayala is Juan Nolasco.", "One of the leaders of Ciudad Ayala is Juan Nolasco."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leader | Juan_Nolasco", "doc_id": 908, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres) | totalProduction | 1418, ALCO_RS-3 | length", "target": ["The ALCO RS-3 is 17068.8 (millimetres) in length and the total number made is 1418.", "The total production amount for the 17068.8 millimeter long ALCO RS-3 was 1,418 locomotives.", "At the length of 17068.8 millimetres, the total number of ALCO RS-3 made is 1418."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | totalProduction | 1418, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 516, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["ENAIRE, located in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport in Alcobendas. The airport is elevated 610 metres above sea level and its runway name is 14L/32R.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport in Alcobendas is operated by ENAIRE which is based in the city of Madrid. The airport has an elevation of 610 metres above sea level and has a runway named 14L/32R.", "Adolfo Suarez Madrid-Barajas Airport in Alcobendas, is operated by ENAIRE, located in Madrid and has an elevation of 610 metres above sea level. The runway name is 14L/32R."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | Alcobendas, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayName | \"14L/32R\"", "doc_id": 1368, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa", "target": ["Alan Shepard was born on November 18th, 1923 in New Hampshire. He was selected by NASA in 1959 and died in California.", "Alan Shepard (born in New Hampshire on 18, November, 1923) was selected by NASA in 1959 and died in California."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | deathPlace | California, Alan_Shepard | selectedByNasa | 1959, Alan_Shepard | birthPlace | New_Hampshire", "doc_id": 1168, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Russian Premier League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier League | Russian League | Premier", "target": ["185 centimetre tall Aleksandr Prudnikov played for the Otkrytiye Arena based FC Spartak, Moscow.", "The 185 cm tall Aleksandr Prudnikov plays for FC Spartak Moscow who call their home ground Otkrytiye Arena.", "Aleksandr Prudnikov who is 185 cm tall, plays for FC Spartak Moscow whose ground is the Otkrytiye Arena."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | height | 185.0 (centimetres), FC_Spartak_Moscow | ground | Otkrytiye_Arena, Aleksandr_Prudnikov | club | FC_Spartak_Moscow", "doc_id": 3, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015 | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C,", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense played in the Campeonato Brasileiro S\u00e9rie C league during the 2015 season.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense from the Campeonato Brasileiro S\u00e9rie C league played in the 2015 season.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense play in the Campeonato Brasileiro S\u00e9rie C league in 2015."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAgremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015", "doc_id": 1745, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_Kingdom, United_States, United_States, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United_Kingdom, United", "target": ["The Bootleg Series Volume I: The Quine Tapes was recorded in the United States under the Polydor Records record label. The album is owned by the label Universal Music Group, whose key person is Lucian Grainge.", "The Bootleg Series Volume I: The Quine Tapes was released by the record label Polydor Records under the Universal Music Group record label in the United States. A key individual in the Universal Music Group is Lucian Grainge.", "The Bootleg Series Volume I: The Quine Tapes was recorded through Polydor Records and released by Universal Music Group in the United States. The key person at Universal Music Group is Lucian Grainge."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Polydor_Records, Universal_Music_Group | keyPerson | Lucian_Grainge, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordLabel | Universal_Music_Group, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States", "doc_id": 1608, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "\u00b0F | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | ica", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF; it has an operating organization that is called the MotorSport Vision and is located in Thurleigh. The aerodrome is 83.2 metres above sea level.", "The Bedford Aerodrome is located in Thurleigh, 83.2104 above sea level, and is operated by MotorSport Vision. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF.", "Bedford Aerodrome is located in Thurleigh, 83.2104 meters above sea level, and is operated by MotorSport Vision. The ICAO location identifier for the Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 407, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"\nAcharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology", "target": ["Dr. G. P. Prabhukumar is the director of Acharya Institute of Technology, which is affiliated with Visvesvaraya Technological University and located in India.", "Dr. G. P. Prabhukumar is the Director of The Acharya Institute of Technology, which is affiliated with Visvesvaraya Technological University and located in India.", "Dr. G. P. Prabhukumar is the director of The Acharya Institute of Technology, which is affiliated with the Visvesvaraya Technological University, located in India."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\"", "doc_id": 1708, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_poltavchenko | georgy_polt", "target": ["The leader of Saint Petersburg is Georgy Poltavchenko.", "The current leader of Saint Petersburg is Georgy Poltavchenko.", "Georgy Poltavchenko was an acting governor of Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSaint_Petersburg | leader | Georgy_Poltavchenko", "doc_id": 1257, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense, a club with 17,000 members, played in the Campeonato Brasileiro S\u00e9rie C league in 2015. Vila Nova Futebol Clube, another club, have been champions of Campeonato Brasileiro S\u00e9rie C. The home stadium for Agremia\u00e7\u00e3o Sportiva Arapiraquense is Est\u00e1dio Municipal Coaracy da Mata Fonseca, which is located in Arapiraca, Brazil.", "The Est\u00e1dio Municipal Coaracy da Mata Fonseca, the home ground of the team Agremia\u00e7\u00e3o Sportiva Arapiraquense, is located in Arapiraca. Agremia\u00e7\u00e3o Sportiva Arapiraquense, which has 17000 members, plays in the Campeonato Brasileiro S\u00e9rie C league and played in the 2015 season in the league. Vila Nova Futebol Clube are the champions of Campeonato Brasileiro Serie C.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and play in the 2015 Campeonato Brasileiro S\u00e9rie C league in which The Vila Nova Futebol Clube were champions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 992, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe Quine Tape is a collection of recordings made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes were made by the philosopher John Quine in the early 1960s. The tapes", "target": ["The Bootleg Series Volume I: The Quine Tapes was recorded in San Francisco in the United States which has a total area of around 9.8 million square kilometers. In San Francisco the Coordinated Universal Time (UTC) offset is -7.", "Bootleg Series Volume 1: The Quine Tapes was recorded in San Francisco whose timezone is UTC-7, in the United States which has a total land area of 9833520000000 square kilometers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | San_Francisco, San_Francisco | utcOffset | &minus;7, Bootleg_Series_Volume_1:_The_Quine_Tapes | recordedIn | United_States, United_States | areaTotal | 9833520000000.0", "doc_id": 453, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | followedBy | The_Two_Towers | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | followedBy | The_Two_Towers | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | followedBy | The_Two_Towers | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The", "target": ["The Fellowship of the Ring published by George Allen & Unwin is followed by The Two Towers .", "The Fellowship of the Ring, which was published by George Allen & Unwin, was followed by The Two Towers.", "George Allen & Unwin were the publishers of The Fellowship of the Ring which preceded The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | publisher | George_Allen_&_Unwin, The_Fellowship_of_the_Ring | followedBy | The_Two_Towers", "doc_id": 894, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | instrument | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | instrumental | composer | Brian_Kelly_(composer_", "target": ["Brian Kelly is the producer and author of the album \"Expect a Miracle\", said album has a runtime of 54:56 and is of the instrumental music genre.", "Expect a Miracle recorded and produced by Brian Kelly is instrumental music genre and has a run time of 54.56."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 789, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| capital | Winchester, Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_Anne_Monson | nationality | Lady_", "target": ["British national Lady Anne Monson lived in the Kingdom of England whose capital was Winchester.", "Lady Anne Monson\u2019s nationality is English, where the capital is Winchester.", "Lady Anne Monson was from the Kingdom of England whose capital city was Winchester."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKingdom_of_England | capital | Winchester, Lady_Anne_Monson | nationality | Kingdom_of_England", "doc_id": 1566, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, College_of_William_&_Mary | city | Virginia", "target": ["The Mason School of Business is located in the United States at the Alan B Miller Hall which is owned by The College of William and Mary. The hall is located at 101 Ukrop Way and its build began on the 30th of March, 2007 after being designed by architect Robert A M Stern.", "Designed by Robert Stern and located at 101 Ukrop Way the Alan B. Miller Hall building was commenced on 30 March of 2007. Currently tenanted by the Mason School of Business and owned by the College of William and Mary, the building is located in the United States.", "Construction of the Alan B. Miller Hall began on March 30th, 2007. The building's architect is Robert A. M. Stern, and it is owned by the College of William and Mary. The Alan B. Miller Hall is located at 101 Ukrop Way, in the United States, and the current tenant is the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 898, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Michigan | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac | assembly | Pontiac, Pontiac", "target": ["The Pontiac Rageous was a car manufactured by Pontiac, whose parent company is General Motors. The Pontiac Rageous was assembled in Detroit, Michigan.", "The Pontiac Rageous is manufactured by Pontiac, whose parent company is General Motors. The Pontiac Rageous was assembled in Michigan where the assembly line was located in Detroit.", "The Pontiac Rageous is manufactured by Pontiac, whose parent company is General Motors. It was assembled in Michigan where its assembly line was located in Detroit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | manufacturer | Pontiac, Pontiac | parentCompany | General_Motors, Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit", "doc_id": 394, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["1147 Stavropolis, an asteroid, discovered on 11 June 1929 with absolute magnitude of 11.5, has an apoapsis of 418476000000.0 AU.", "1147 Stavropolis discovered on June 11, 1929 has an apoapsis of 418476000000.0 and an absolute magnitude of 11.5.", "The 1147 Stavropolis asteroid that was discovered on June 11, 1929, has an apoapsis of 418476000000.0, with an absolute magnitude of 11.5."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | apoapsis | 418476000000.0, 1147_Stavropolis | absoluteMagnitude | 11.5, 1147_Stavropolis | discovered | 1929-06-11", "doc_id": 1270, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | education | family | hobbies | interests | favorite books | favorite movies | favorite music | favorite TV shows | favorite sports | favorite foods | favorite activities | favorite places | favorite people | favorite things | favorite things to do | favorite things to see | favorite things to eat | favorite things to do in the city | favorite things to do in the country | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite things to do in the world | favorite", "target": ["Nie Haisheng is from the People's Republic of China.", "Nie Haisheng is a citizen of the People\u2019s Republic of China."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | nationality | People's_Republic_of_China", "doc_id": 356, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "sq. km.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in French.\nThe following is a list of the most common words in Italian.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in Polish.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Italian.\nThe following is a list of the most common words in French.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in Polish.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in Portuguese.\nThe following is a list of the", "target": ["The total area of Mexico is 1,972,550 square kilometers.", "Mexico has a total area of 1972550.0.", "The total area of Mexico is 1972550.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | areaTotal | 1972550.0", "doc_id": 832, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The country is a country in the Middle East.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so,", "target": ["Re\u015fadiye is in the country of Turkey.", "Re\u015fadiye is located in the country of Turkey.", "Re\u015fadiye is a town in Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nRe\u015fadiye | country | Turkey", "doc_id": 1395, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | rotationPer", "target": ["The 1147 Stavropolis which was discovered on June 11, 1929, has a rotation period of 20378.5 and a periapsis of 260855000000.0.", "The 1147 Stavropolis asteroid which was discovered on June 11, 1929, has a rotation period of 20378.5 with a periapsis of 260855000000.", "An asteroid 1147 Stavropolis which was discovered on 11 June 1929 has a rotation period of 20378.5 and the periapsis of 260855000000.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n1147_Stavropolis | discovered | 1929-06-11, 1147_Stavropolis | rotationPeriod | 20378.5, 1147_Stavropolis | periapsis | 260855000000.0", "doc_id": 579, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| IMDb.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show a sentence in natural language. To do", "target": ["\"McVeagh of the South Seas\" is distributed by Alliance Films Corporation and has the IMDb id of 0004319. It\u2019s directed by Harry Carey and Gregory Allen. Carey was born in 1878.", "McVeagh of the South Seas was a movie directed by Harry Carey and Gregory Allen. It starred Carey and was distributed by Alliance Films Corporations. The movie can be found on IMDb by inputting the ID of 0004319.", "Born in 1878, Harry Carey was the director and actor in the film, 'McVeagh of the South Seas'. It was also distributed and directed by Gregory Allen and Alliance Films Corporation. It can be found on the IMDb with the id number of 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation, McVeagh_of_the_South_Seas | director | Gregory_Allen, McVeagh_of_the_South_Seas | imdbId | 0004319", "doc_id": 754, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_York_at_The_Ritz_Club_(1969) | followedBy | 1969:_The_Velvet_Underground_Live_in_New_", "target": ["Squeeze was followed by the album 1969: The Velvet Underground Live.", "The Velvet Underground album Squeeze was followed by the live album 1969: The Velvet Underground Live.", "The Velvet Underground album Squeeze is followed by the album 1969: The Velvet Underground Live."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSqueeze_(The_Velvet_Underground_album) | followedBy | 1969:_The_Velvet_Underground_Live", "doc_id": 86, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent", "target": ["The Pontiac Rageous is assembled in Michigan, which is 250493000000.0 square kilometers.", "The total area of Michigan is 250493000000.0 and the Pontiac Rageous was assembled in Michigan.", "Michigan, home to the Pontiac Rageous assembly plant, measures 250493000000.0 in area."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan, Michigan | areaTotal | 250493000000.0", "doc_id": 868, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information", "target": ["The location of the BBC is the Broadcasting house, which is located in London. The show, Bananaman, was broadcasted by the BBC, and stars Bill Oddie. Bananaman first aired on October 3, 1983 and last aired on April 15,1986.", "The headquarters of BBC is called broadcasting house, which first aired the show, Bananaman, which starred Bill Oddie and aired October 3,1983 and last aired on April 15, 1986.", "Broadcasting House, the home of BBC based in London, broadcasted Bananaman starring Bill Oddie which was first aired on 10/03/1983 and last aired on April 15th 1986."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC, Bananaman | firstAired | \"1983-10-03\"", "doc_id": 1622, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| timezone | Pacific_Standard_Time_Zone, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timezone | Pacific_Standard_Time_Zone, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | populationDensity", "target": ["Ciudad Ayala population density is 1604, and Juan Nolasco is one of the leaders of this city situated in the Pacific Standard Time Zone.", "Ciudad Ayala is in the Pacific Standard time zone and has a population density of 1,604. Its leader is Juan Nolasco.", "Ciudad Ayala city has a population density of 1604.0. Its leader is Juan Nolasco and the time zone is the Pacific Standard Time Zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco", "doc_id": 584, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_statistics, Mathematical_", "target": ["Darinka Dentcheva, a United States citizen, developed a theory in Mathematical Optimization, influenced by Andrzej Piotr Ruszczy\u0144ski . \"In God We Trust\" is the motto of the United States.", "The United States's motto is \"In God We Trust.\" Darinka Dentcheva, a United States citizen, was influenced by Andrzej Piotr Ruszczynski, who is a professional in the field of mathematical optimization.", "Darinka Dentcheva was influenced by Andrzej Piotr Ruszczynski, who works in the field of mathematical optimization. Darinka is a citizen of the United States, whose motto is \u201cIn God we Trust.\u201d."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, United_States | motto | \"In God we trust\", Darinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski, Andrzej_Piotr_Ruszczy\u0144ski | professionalField | Mathematical_optimization", "doc_id": 242, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | weight | height | weight | height | weight | height", "target": ["Liselotte Grschebina was born in the German Empire. She is an Israeli national and died on June 14, 1994.", "Liselotte Grschebina was an Israeli born in the German Empire who died on June 14, 1994.", "Liselotte Grschebina was an Israeli born in the German Empire and died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | nationality | Israel, Liselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1714, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | Religion | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity | Ethnicity", "target": ["Nurhan Atasoy was born on January 1st 1934 in Turkey.", "Nurhan Atasoy was born in Turkey on January 1st, 1934.", "Nurhan Atasoy was born on January 1, 1934, in Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthDate | 1934-01-01, Nurhan_Atasoy | birthPlace | Turkey", "doc_id": 1112, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish_language, Turkish", "target": ["Nurhan Atasoy is a Turkish national. In Turkey the primary language spoken is Turkish.", "Nurhan Atasoy is Turkish and speaks the Turkish language."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | nationality | Turkish_people, Turkish_people | language | Turkish_language", "doc_id": 1611, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "T20:00:00-04:00https://images.c-span.org/Files/8/8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-8-", "target": ["Liselotte Grschebina was born in Karlsruhe and died on June 14, 1994.", "Liselotte Grschebina born in Karlsruhe died on the 14th of June, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | deathDate | 1994-06-14", "doc_id": 1535, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization, Dar", "target": ["Darinka Dentcheva is a citizen of the United States who works in the field of Mathematical optimization.", "Darinka Dentcheva is a US citizen and a mathematician working in the field of mathematical optimization.", "Darinka Dentcheva, a citizen of the United States, is a professional in the field of mathematical optimization."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | citizenship | United_States, Darinka_Dentcheva | professionalField | Mathematical_optimization", "doc_id": 1772, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies | Movies", "target": ["Lionsgate is an entertainment company.", "The industry in which Lionsgate operates is the entertainment.", "Lionsgate is in the entertainment industry."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLionsgate | industry | Entertainment", "doc_id": 1316, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocationId | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icaoLocation | icao", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF and it has served the Bedford Autodrome.", "Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and serves the Bedford Autodrome.", "The ICAO location identifier for the Bedford Aerodrome is EGBF and the aerodrome serves the Bedford Autodrome."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 290, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim_Brooke-Taylor | BBC, Bananaman | starring | Tim", "target": ["One of the stars of Bananaman the TV series, was Tim Brooke-Taylor. Bananaman was shown on the BBC which has its headquarters at Broadcasting House.", "Tim Brooke-Taylor was a star of Bananaman which was broadcast by the BBC who are based at Broadcasting House in London.", "BBC is located at Broadcasting house in London and it broadcasts Bananaman starring Tim Brooke-Taylor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | broadcastedBy | BBC, Bananaman | starring | Tim_Brooke-Taylor", "doc_id": 880, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore | India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore | India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore | India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore | India | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_", "target": ["The Acharya Institute of Technology campus is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, 560090, Bangalore.", "The Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli in Bangalore, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | city | Bangalore", "doc_id": 570, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Nurhan_Atasoy | profession | hobbies | interests | education | family | hobbies | interests | hobbies | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests | education | family | hobbies | interests |", "target": ["Nurhan Atasoy, recipient of the State Award for Superior Achievement, was born in Re\u015fadiye, and resides in Tesvikiye.", "Nurhan Atasoy, who won the State Award for Superior Achievement, was born in Re\u015fadiye and mainly lived in Tesvikiye.", "Born in Resadiye, Nurhan Atasoy now resides in Tesvikiye as a recipient of the State Award for Superior Achievement."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Te\u015fvikiye", "doc_id": 1309, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco, Ciudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco, Ciudad", "target": ["The leader of Ciudad Ayala is Juan Nolasco and it uses a council-manager type of government. The population density of Ciudad Ayala is 1604.0 and the time zone of Ciudad Ayala is the Pacific Standard Time Zone or Pacific Daylight Time depending on months of the year.", "Juan Nolasco is one of the leaders of Ciudad Ayala, a city in the Pacific Standard Time Zone governed by a council-manager. Located in the Pacific Daylight time zone, Ciudad Ayala has a population density of 1604.", "Led by Juan Nolasco, the council-manager led city of Ciudad Ayala has a population density of 1604. It is based in the PDT and Pacific Standard time zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco", "doc_id": 1023, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education | location | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_", "target": ["Approximately 500 employees make up the academic staff at Acharya Institute of Technology, a Technical Campus designated by the All India Council for Technical Education of Mumbai, affiliated with the Visvesvaraya Technological University of Belgaum, and directed by Dr. G.P. Prabhukumar at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.", "The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090. The Institute, which is affiliated with Visvesvaraya Technological University in Belgaum, employs about 500 academic staff. The director is Dr. G. P. Prabhukumar. Acharya Institute of Technology was given the Technical Campus status by the All India Council for Technical Education, which is located in Mumbai.", "The All India Council for Technical Education of Mumbai proudly gave its Technical Campus status to the Acharya Institute of Technology, affiliated with the Visvesvaraya Technological University of Belgaum, its staff of approximately 500 academic employees at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090 directed by Dr. G.P. Prabhukumar,."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Acharya_Institute_of_Technology | academicStaffSize | \"~500\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Visvesvaraya_Technological_University | city | Belgaum, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education", "doc_id": 963, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o", "target": ["Est\u00e1dio Municipal Coaracy da Mata Fonseca, located in Arapiraca, is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. They have 17000 members, play in the Campeonato Brasileiro S\u00e9rie C league, and competed in it in 2015. Other Campeonato Brasileiro S\u00e9rie C champions include Vila Nova Futebol Clube.", "Est\u00e1dio Municipal Coaracy da Mata Fonseca in Arapiraca is the name of the ground of Agremia\u00e7\u00e3o Sportiva Arapiraquense. Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and play in the 2015 Campeonato Brasileiro S\u00e9rie C league in which the Vila Nova Futebol Clube were champions."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | champions | Vila_Nova_Futebol_Clube, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | season | 2015_Campeonato_Brasileiro_S\u00e9rie_C, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca", "doc_id": 385, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace", "target": ["Liselotte Grschebina is an Israeli national who died in Petah Tikva, Israel which is formally known as the State of Israel and has a population density of 387.63 people per square kilometre of land area.", "Liselotte Grschebina was an Israeli who died in Petah Tikva, Israel which has a population density of 387.63 people per square kilometre of land area and is named \"State of Israel.\"", "Liselotte Grschebina has Israeli nationality and died in Petah Tikva, Israel. Israel has the population density of 387.63 and its full name is the State of Israel."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | deathPlace | Petah_Tikva, Israel | populationDensity | 387.63, Israel | longName | \"State of Israel\", Liselotte_Grschebina | nationality | Israel", "doc_id": 1339, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_T", "target": ["Liselotte Grschebina died in Petah Tikva (meaning \"opening of hope\"), Israel (formally known as the State of Israel).", "Liselotte Grschebina died in Petah Tikva which means \u2018Opening of Hope\u2019 in Hebrew and is located in Israel which has the full name of the State of Israel.", "Liselotte Grschebina died in Petah Tikva, in the State of Israel (generally known as Israel). The name of the town translates to \"opening of hope\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | deathPlace | Israel, Petah_Tikva | meaning | \"Opening of hope\", Israel | longName | \"State of Israel\", Liselotte_Grschebina | deathPlace | Petah_Tikva", "doc_id": 189, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Duration: 3:30 | Duration: 2:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1:30 | Duration: 1", "target": ["Brian Kelly produced an instrumental album titled Expect A Miracle.", "Expect a Miracle is an instrumental music piece produced by Brian Kelly.", "Expect a Miracle is produced in the instrumental music genre by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music", "doc_id": 513, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Abraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | death", "target": ["Abraham A. Ribicoff was in office as the United States Secretary of Health, Education, and Welfare at the same time as John F. Kennedy was president. Ribicoff was a US citizen and died in the United States after being married to Ruth Ribicoff during his life.", "Abraham A. Ribicoff, an American, was in office while John F. Kennedy was president and worked for the United States Secretary of Health, Education, and Welfare office. He was married to Ruth Ribicoff and later died in the United States.", "Abraham A. Ribicoff, an American, was in office while John F. Kennedy was president and worked as the United States Secretary of Health, Education and Welfare. He was married to Ruth Ribicoff and died in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | deathPlace | United_States, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"", "doc_id": 1592, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Nurhan Atasoy resides in Turkey.", "Nurhan Atasoy currently takes residence in Turkey.", "Nurhan Atasoy resides currently in Turkey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | residence | Turkey", "doc_id": 1683, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07-29 | The_Fellowship_of_the_Ring | releaseDate | 1954-07", "target": ["The Fellowship of the Ring was written by J.R.R. Tolkien and released on July 29, 1954. The Two Towers was released at a later time.", "The Fellowship of the Ring, written by J.R.R. Tolkien, was published on July 29, 1954. It was followed by The Two Towers.", "The release date of the Fellowship of the Ring was July 29, 1954. The novel was written by J.R.R. Tolkien and the Two Towers is the sequel to it."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | followedBy | The_Two_Towers, The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29", "doc_id": 1406, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | demo_2004_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_", "target": ["The Year of No Light band released the sludge metal, post-metal album Nord on September 6, 2006 after its album Demo in 2004. The album is 58 minutes and 41 seconds long.", "Nord is an album by the sludge metal and post metal genre band Year of No Light, who previously released the album Demo 2004. Nord was released on 06-09-2006 with a run time of 58.41 minutes.", "The Year of No Light album Nord was preceded by Year of No Light's album Demo 2004 and runtime is 58.41 minutes. The Year of No Light album Nord was released on the date 2006-09-06, is in the post-metal genre, was released by the artist Year of No Light. and is categorized as sludge metal."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | runtime | 58.41, Nord_(Year_of_No_Light_album) | precededBy | Demo_2004_(Year_of_No_Light_album)", "doc_id": 643, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| b.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["Physicist Brandon Carter, born January 1st, 1942, is a professional in the field of General Relativity. His doctoral advisor was Dennis William Sciama.", "Brandon Carter, a professional in the field of general relativity who learned from Dennis William Sciama, was born on January 1st, 1942.", "Brandon Carter (born on January 1st 1942) was advised by Dennis William Sciama for his doctorate in General Relativity, Carter's professional field."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 1519, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India | deathDate | 1776-02-18, Lady_Anne_Monson | residence", "target": ["Lady Anne Monson was born in Darlington but resided in India for most of her life. She was born on January 1, 1726 and died on February 18, 1776.", "Lady Anne Monson (born in Darlington on January 1, 1726) resides in India. She died on February 18, 1776.", "Lady Anne Monson was born 1726-01-01 in Darlington and resided in India before her death on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | residence | India", "doc_id": 531, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_Rings | The_Lord_of_", "target": ["The Two Towers is preceded by The Fellowship of the Ring.", "The Fellowship of the Ring came before The Two Towers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Two_Towers | precededBy | The_Fellowship_of_the_Ring", "doc_id": 1080, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| rock | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock music | rock | music | rock | music | rock | rock | music | rock | music | rock | music | rock | music | rock | music | rock | music | rock | music | rock | music | rock | music | rock | music | rock |", "target": ["Proto-punk is a music subgenre of rock music.", "Proto-punk is a musical subgenre of rock music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nRock_music | musicSubgenre | Proto-punk", "doc_id": 598, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina, who was born on May 2nd, 1908 and died on June 14th, 1994, studied at the School of Applied Arts in Stuttgart.", "Liselotte Grschebina lived from May 2nd, 1908 to June 14th, 1994. Grschebina attended the school of Applied Arts in Stuttgart."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | training | School_of_Applied_Arts_in_Stuttgart, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthDate | 1908-05-02", "doc_id": 1172, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["Nord is a post metal album by Year of No Light and was released by Crucial Blast record label.", "Crucial Blast record label released Year of No Light's post metal album titled Nord.", "Nord is a post-metal album by Year of No Light, released under the record label Crucial Blast.", "Year of No Light released a post metal album called Nord, which Crucial Blast record label released.", "The post-metal genre album Nord, by the group Year of No Light, was released on the Crucial Blast label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | genre | Post-metal, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 1507, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence | United_States, Darinka_Dentcheva | residence |", "target": ["Even though Darinka Dentcheva's alma mater is Humboldt University, she currently resides in New Jersey (United States).", "Darinka Dentcheva lives in New Jersey, USA and studied at Humboldt University.", "Darinka Dentcheva\u2019s alma mater is Humboldt University. She now resides in New Jersey, which is in the United States."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | almaMater | Humboldt_University, Darinka_Dentcheva | residence | New_Jersey, Darinka_Dentcheva | residence | United_States", "doc_id": 1456, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | Wharton_Tiers, Turn_Me_On_(", "target": ["The album Turn me on was created by the honeymoon killers. This song lasts 35.1 minutes and was preceded by the album Let it Breed. Wharton Tiers produced it .", "The album Turn Me On preceded by the album Let It Breed is produced by Wharton Tiers and the Honeymoon Killers, an American band, who are the actual performers of the album. The album lasts 35 minutes 10 seconds.", "The album Turn Me On (runtime 35.1 minutes) by the Honeymoon Killers self produced it along with Wharton Tiers. It was preceded by the album Let It Breed."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | runtime | 35.1, Turn_Me_On_(album) | artist | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band), Turn_Me_On_(album) | precededBy | Let_It_Breed, Turn_Me_On_(album) | producer | Wharton_Tiers", "doc_id": 732, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.A. | Ph.D. | People's Republic of China, Nie_Haisheng | education | B.A. | M.", "target": ["Nie Haisheng is from the People's Republic of China; he was born on October 13th 1964, in Zaoyang in the Hubei Province.", "Nie Haisheng was born in Hubei, Zaoyang, on the 13th of October, 1964. He is from the People's Republic of China.", "Nie Haisheng is a citizen of the People's Republic of China and was born in Zaoyang in the Hubei Province on 10/13/1964."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthPlace | Zaoyang, Nie_Haisheng | birthPlace | Hubei, Nie_Haisheng | nationality | People's_Republic_of_China, Nie_Haisheng | birthDate | 1964-10-13", "doc_id": 1197, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Instrumental", "target": ["Compilation album Expect a Miracle was produced by composer and pianist Brian Kelly following his earlier album Pools of Light. The album is an instrumental album with a total length of 54.56. Expect a Miracle was followed by Kelly\u2019s Afterplay album.", "Brian Kelly, producer of the album Pools of Light, has a new instrumental compilation album called \"Expect A Miracle\" (runtime 54.56 minutes). Kelly will also release the album 'Afterplay'.", "Expect a Miracle a compilation album, created and produced by Brian Kelly with runtime 54:56 is of instrumental music genre. It was preceded by the Brian Kelly album Pools of Light and followed by Afterplay by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | runtime | 54.56, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | genre | Instrumental_music, Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 851, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| population density | 1604.0, Ciudad_Ayala | country | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0, Ciudad_Ayala | population density | 1604.0", "target": ["Ciudad Ayala is a city in the country of Mexico with a population density of 1604.", "Ciudad Ayala has population density 1604.0 in the country of Mexico.", "Ciudad Ayala is a city in Mexico with the population density of 1604."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | country | Mexico", "doc_id": 403, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset | +2.\nIstanbul | utcOffset", "target": ["Istanbul is located in the +2 UTC timezone.", "The UTC offset for Istanbul is +2."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIstanbul | utcOffset | +2", "doc_id": 765, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady", "target": ["Lady Anne Monson was born on January 1, 1726 in Darlington, the Kingdom of England.", "Lady Anne Monson was born in Darlington, Kingdom of England, on January 1st, 1726.", "Lady Anne Monson was born on January 1st, 1726 in Darlington, England."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthPlace | Kingdom_of_England", "doc_id": 1564, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| State_Award_for_Superior_Achievement, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey | State", "target": ["Nurhan Atasoy (born in Resadiye), who was awarded the State Award for Superior Achievement, previously resided in Istanbul (population: 2691 people per square kilometer) and currently lives in Turkey.", "Nurhan Atasoy (born in Resadiye) resides in Turkey and the population density in metropolitan Istanbul is 2691.0. He won a state award for superior achievement.", "Nurhan Atasoy, born in Re\u015fadiye and recipient of the State Award for Superior Achievement, resides in Turkey and has a residence in Istanbul where the population density in the Istanbul metro is 2691.0 people per square meter,."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNurhan_Atasoy | birthPlace | Re\u015fadiye, Istanbul | populationMetroDensity | 2691.0, Nurhan_Atasoy | residence | Istanbul, Nurhan_Atasoy | award | State_Award_for_Superior_Achievement, Nurhan_Atasoy | residence | Turkey", "doc_id": 1723, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC | City | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Ban", "target": ["Bananaman had as one of its stars Bill Oddie and was last aired on the 15/04/1986 on the BBC who are based at their headquarters, Broadcasting House in London.", "Bill Oddie starred in Bananaman which last aired on April 15th, 1986. The show was broadcast by the BBC which is based at Broadcasting House in London.", "The BBC, based at their home in Broadcasting House in London, broadcast Bananaman which last aired on 15/04/1986. Bill Oddie was a star of the show."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC", "doc_id": 112, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Bedford Aerodrome has served the Bedford Autodrome and is 83.2 meters above sea level, has a runway named \"08/26\" with length at the Bedford Aerodrome is 1095.", "Bedford Aerodrome serving Bedford Autodrome is at an elevation of 83.2104 above sea level and has runway called 08/26 with its length as 1095.0.", "The Bedford Aerodrome serving Bedford Autodrome has a runway named 08/26 with the length of 1095. It is elevated 83.2104 meters above the sea level."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | runwayName | \"08/26\"", "doc_id": 1144, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | Jewish, Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | education | Harvard, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | grandchildren, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | marriage | children, Abraham_A._Ribicoff | occupation | doctor, Abraham_A._Ribicoff | marriage | children, Abraham_A._Rib", "target": ["Abraham A. Ribicoff\u2019s spouse was Ruth Ribicoff and he was in office during the John F. Kennedy presidency. Abraham A. Ribicoff was American and was a member of the Democratic Party in the United States His place of birth was Connecticut.", "Abraham A. Ribicoff was in office at the same time as John F. Kennedy was president and was married to Ruth Ribicoff. He was a citizen of the USA after being born in Connecticut and was a member of the Democratic Party of the USA.", "Abraham A. Ribicoff, who was in office while John F. Kennedy was president, was married to Ruth Ribicoff. Abraham A. Ribicoff was born in Connecticut in the USA and was a member of the United States Democratic Party."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | party | Democratic_Party_(United_States), Abraham_A._Ribicoff | birthPlace | Connecticut", "doc_id": 198, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The Mason School of Business are the current tenants of Alan B Miller Hall which is a building in the Georgian architectural style. The building is owned by The College of William and Mary and was designed by Robert A.M. Stern. The address of the hall is 101 Ukrop Way and the construction start date was the 30th of March 2007.", "The construction of Alan B. Miller Hall started on March 30th, 2007. Robert A. M. Stern is the architect of the building, which was built in the Georgian architecture style.. Alan B. Miller Hall is located at 101 Ukrop Way, and the current tenant is the Mason School of Business. The College of William and Mary owns the Hall.", "Alan B. Miller Hall, owned by the College of William and Mary, started being built at 101 Ukrop Way on March 30, 2007 and used the Georgian-style design of architect Robert A M Stern. The building is occupied today by the Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | architecturalStyle | Georgian_architecture, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 887, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | engine | Four-stroke_engine, A", "target": ["The ALCO RS-3 which is 17068.8 (millimetres) in length and has a four-stroke engine, was produced between May 1950 and August 1956.", "The ALCO RS-3 has a four-stroke engine, was produced between May 1950 and August 1956 and has the length of 17068.8 millimetres.", "The ALCO RS-3 has a four-stroke engine is 17068.8 millimetres in length and was produced between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 603, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "m.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Spanish.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common", "target": ["ENAIRE, which is located in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport. This airport has a runway length of 3500.", "The Adolfo Su\u00e1rez Madrid\u2013Barajas Airport is operated by ENAIRE which is located in the city of Madrid. The runway length of the airport is 3,500."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | runwayLength | 3500.0", "doc_id": 1580, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| email: dennis_williams@uw.edu | Twitter: @dennis_williams | Facebook: https://www.facebook.com/dennis_williams | LinkedIn: https://www.linkedin.com/in/dennis_williams | Website: http://denniswilliams.com | Email: dennis_williams@uw.edu | Website: http://denniswilliams.com | Twitter: @dennis_williams | Facebook: https://www.facebook.com/denniswilliams | LinkedIn: https://www.linkedin.com/in/dennis_williams | Website: http://denniswilliams.com | Twitter: @dennis_williams | Facebook: https://www.facebook.com/denniswilliams | LinkedIn: https://www.linkedin.com/in/dennis_williams | Website: http://denniswilliams.com | Twitter: @dennis_williams | Facebook: https://www.facebook.com/denniswilliams | LinkedIn: https://www.linkedin", "target": ["Brandon Carter, who was born on 01-01-1942, goes to Dennis William Sciama for doctoral advice.", "Brandon Carter, born January 1st 1942, completed his doctorate under the guidance of his doctoral advisor Dennis William Sciama.", "Brandon Carter, born January 1, 1942, had Dennis William Sciama as his doctoral advisor."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | doctoralAdvisor | Dennis_William_Sciama, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 809, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Simpsons.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and", "target": ["Cyril Frankel was a television director.", "Cyril Frankel is a television director.", "Cyril Frankel worked as a television director."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCyril_Frankel | occupation | Television_director", "doc_id": 1673, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The sentence is a simple sentence. It is a sentence that is made up of a subject and a predicate. The subject is the person or thing that the sentence is about. The predicate is the thing that the subject is doing.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a predicate. The subject is the person or thing that the sentence is about. The predicate is the thing that the subject is doing.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a predicate. The subject is the person or thing that the sentence is about. The predicate is the thing that the subject is doing.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a predicate. The subject is the person or thing that the sentence is about. The predicate is the thing that the subject is doing.\nThe sentence is a simple sentence. It is a sentence that is made up of a subject and a predicate. The subject is the person or thing that the sentence is about. The predicate is the thing that the subject is doing.\nThe sentence is a simple sentence. It is a sentence that is made", "target": ["The motto of the United States is \"In God We Trust\".", "The motto of the United States is \"In God We Trust.\"", "United States' motto is \"In God we trust\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUnited_States | motto | \"In God we trust\"", "doc_id": 1365, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | Four-stroke_engine, ALCO_RS-3 | powerType |", "target": ["The ALCO RS-3 has a four-stroke engine, a diesel-electric transmission and is 17068.8 millimetres in length. The ALCO RS-3 was produced between May 1950 and August 1956.", "The ALCO RS-3 was produced between May 1950 and August 1956 and has a length of 17068.8 millimetres. It has a four-stroke engine and a diesel-electric transmission.", "The ALCO RS-3 was produced between May 1950 and August 1956 and has a length of 17068.8 millimetres. The ALCO RS-3 has a four-stroke engine and a diesel-electric transmission."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1554, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Morelos | country | Mexico, Ciudad_Ayala | isPartOf | Morelos, Morelos | areaTotal | 4879.0, Morelos | country | Mexico, Ciudad_Ayala | isPartOf | Morelos, Morelos | areaTotal | 4879.0, Morelos | country | Mexico, Ciudad_Ayala | isPartOf | Morelos, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0, Morelos | areaTotal | 4879.0", "target": ["With a total area of 4879 square kilometres, the state of Morelos is in Mexico. The Morelos based city of Ciudad Ayala has a population density of 1604.", "Ciudad Ayala is a Mexican city that is part of Morelos which has a total area of 4879. The population density in Ciudad Ayala is 1604.", "The Mexican state of Morelos has a total area of 4879 square kilometres. One of its cities is Ciudad Ayala, which has a total population density of 1604."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | populationDensity | 1604.0, Morelos | country | Mexico, Ciudad_Ayala | isPartOf | Morelos, Morelos | areaTotal | 4879.0", "doc_id": 618, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathDate | 1994-06", "target": ["Liselotte Grschebina was born in Karlsruhe within the German Empire on May 2, 1908 and died on June 14, 1994 in Israel.", "Liselotte Grschebina was born on May 2, 1908 in the German Empire in Karlsruhe and died on June 14, 1994 in Israel.", "Liselotte Grschebina died on June 14, 1994 in Israel. Grschebina was born in the German Empire in Karlsruhe on May 2, 1908."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | deathPlace | Israel, Liselotte_Grschebina | birthPlace | German_Empire", "doc_id": 209, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak", "target": ["A member of the youth side, Aleksandr Prudnikov plays for the FC Spartak Moscow.", "Aleksandr Prudnikov was in the FC Spartak Moscow club and played for their youth team.", "Aleksandr Prudnikov played for and was a member of the youth football club FC Spartak Moscow."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | club | FC_Spartak_Moscow", "doc_id": 230, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | age, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | weight, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner | height, Aaron_Turner", "target": ["Aaron Turner is a post-metal musician from Massachusetts who plays the electric guitar. He started performing in 1995 and is a musician in the Lotus Eaters band.", "Aaron Turner is a post-metal musician born in Massachusetts who plays electric guitar, started performing in 1995 and is in the Lotus Eaters band.", "Aaron Turner is a post metal performer from Massachusetts who plays the electric guitar, started performing in 1995 and is in the Lotus Eaters band."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | origin | Massachusetts, Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 33, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| language | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Bionico (a dish served for dessert) is a food made with condensed milk found in Mexico. Mexicans are people in Mexico, the currency in Mexico is the Mexican peso.", "Bionico (is a dessert) is a food made with condensed milk found in Mexico. The currency in Mexico is the Mexican peso inhabited by Mexicans.", "Bionico (served at the dessert course) is a food made with condensed milk found in Mexico. The currency in Mexico is the peso inhabited by the Mexicans."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | ingredient | Condensed_milk, Bionico | country | Mexico", "doc_id": 752, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | College_of_William_&_Mary, Alan_B._Miller_Hall", "target": ["The architect of Alan B Miller Hall, owned by The College of William and Mary, is Robert A M Stern and it is situated at 101 Ukrop Way, Virginia, USA. They started to build the Alan B Miller Hall on the 30th of March, 2007 and The Mason School of Business are now its tenants.", "The address of the Alan B. Miller Hall is \"101 Ukrop Way\" in Virginia, USA and it currently houses The Mason School of Business. The College of William and Mary is the owner of the Robert A.M. Stern designed hall which began construction on 30/03/2007.", "The Alan B Miller Hall is located in Virginia, USA at 101 Ukrop Way and was designed by Robert A.M. Stern while being owned by The College of William and Mary. The building began construction on 30/03/2007 and is now occupied by The Mason School of Business."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | buildingStartDate | \"30 March 2007\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Virginia, Mason_School_of_Business | country | United_States, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 889, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico | Mexico", "target": ["In the region of Jalisco, Mexico, is a food dish served for dessert called Bionico.", "Bionico, a food found in the Jalisco region of Mexico, is served at the dessert course.", "Bionico (a dessert) is a food found in the region of Jalisco in Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | course | Dessert, Bionico | region | Jalisco, Bionico | country | Mexico", "doc_id": 64, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| length | \"A\"\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of", "target": ["The ALCO RS-3 has a length of 17068.8 millimetres and was produced between May 1950 and August 1956. The builder of the ALCO RS-3 is the American Locomotive Company and the total production amount is 1418.", "The ALCO RS-3 is 17068.8 (millimetres) in length. It was built by American Locomotive company. The total of 1418 locomotives were made and produced between May 1950 and August 1956.", "The ALCO RS-3, built by the American Locomotive Company with a length of 17068.8 millimetres, was produced 1,418 times between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | totalProduction | 1418, ALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | builder | American_Locomotive_Company, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1101, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".", "target": ["Year of No Light made an album called Nord, which was released by the record label Crucial blast.", "The album entitled Nord, by the group Year of No Light, was released on the Crucial Blast label.", "The Year of No Light album Nord's record label is Crucial Blast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 1414, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek_Grozny, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | youthclub | FC_Terek", "target": ["Aleksandr Prudnikov, height 185 cm., a member of the youth side of FC Spartak Moscow, and who plays for FC Amkar Perm is in the FC Terek Grozny club based at Grozny.", "Aleksandr Prudnikov is 185.0 cm tall. He currently plays for FC Amkar Perm and previously played for FC Terek Grozny which is located in Grozny, as well as youth football for FC Spartak Moscow.", "185 cm tall Aleksandr Prudnikov currently plays for FC Amkar Perm. Before he played for FC Terek Grozny, based in Grozny. In his youth he played for FC Spartak Moscow's youth team."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nFC_Terek_Grozny | ground | Grozny, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm, Aleksandr_Prudnikov | club | FC_Terek_Grozny, Aleksandr_Prudnikov | height | 185.0 (centimetres), Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow", "doc_id": 1158, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Michigan, U.S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will", "target": ["The Pontiac Rageous assembly line is in Detroit.", "The Pontiac Rageous was assembled in Detroit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Detroit", "doc_id": 859, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "The following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in", "target": ["Al Asad Airbase is operated by the United States Air Force and has a runway named 09L/27R.", "The United States Air Force runs Al Asad Airbase, which has a runway name of 09L/27R.", "Al Asad airbase operated by United States Air Force has the runway named as \"09L/27R\"."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAl_Asad_Airbase | operatingOrganisation | United_States_Air_Force, Al_Asad_Airbase | runwayName | \"09L/27R\"", "doc_id": 616, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The 11th Mississippi Infantry Monument is in the United States and is categorised as a contributing property. The monument was erected in 2000, and it is located in Adams County, Pennsylvania. Pennsylvania's Franklin County is found to the west of Adams County, while Carroll County Maryland is southeast of Adams County Pennsylvania, which has Cumberland County to the north.", "The 11th Mississippi Infantry Monument in Adams County, Pennsylvania is categorized as a Contributing Property, was established in 2000, and is in the United States. Adams County, Pennsylvania has Carroll County, Maryland to its southeast, Cumberland county, Pennsylvania to its north, and Franklin County, Pennsylvania to its west.", "The 11th Mississippi Infantry Monument falls under the category of Contributing property and was established in the year 2000 located in Adams County, Pennsylvania in the United States. Adams County Pennsylvania is East of Franklin County, Pennsylvania to the southeast lies Carroll County, Maryland and Cumberland County, Pennsylvania to its north."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 527, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African_Americans, African", "target": ["Abraham A. Ribicoff, a member of the United States Democratic Party, was born in the United States where African Americans are an ethnic group. His wife is Ruth Ribicoff.", "Abraham A. Ribicoff who was a member of the Democratic Party in the USA was born in the USA where African Americans are an ethnic group and was married to Ruth Ribicoff.", "The Democratic Party in the United States counted as one of its members Abraham A. Ribicoff. Abraham was born in the USA where African Americans are an ethnic group and was married to Ruth Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | party | Democratic_Party_(United_States), Abraham_A._Ribicoff | birthPlace | United_States, United_States | ethnicGroup | African_Americans", "doc_id": 759, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| instrument | Singing, Twilight_(band) | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist", "target": ["Aaron Turner is a singer who played with the band Twilight which has been described as Black metal.", "Singer Aaron Turner played with the band Twilight, which plays black metal music.", "Aaron Turner is a singer who played with the black metal band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | instrument | Singing, Twilight_(band) | genre | Black_metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band)", "doc_id": 1302, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | stroke | engine | engine | stroke | engine | stroke | engine | engine | stroke", "target": ["The ALCO RS-3, which is 17068.8 millimetres long, has a diesel-electric transmission and a four-stroke engine.", "ALCO RS-3, which is 17068.8 millimetres long, has a four-stroke engine and a diesel-electric transmission.", "The diesel-electric ALCO-RS3 includes a four-stroke engine and measures 17068.8 (millimetres) in length."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | engine | Four-stroke_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1472, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["The band Train were signed to the record label Warner Music Group.", "Warner Music Group is the record label of the band Train.", "The band Train's record label is Warner Music Group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTrain_(band) | recordLabel | Warner_Music_Group", "doc_id": 1090, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdentifier | icaoLocationIdent", "target": ["The ICAO location identifier for Bedford Aerodrome is EGBF. The aerodrome is located in Thurleigh, has a runway length of 1095 and is 83.2 metres above sea level.", "The Bedford Aerodrome elevation above the sea level is 83.2104 meters and the runway length is 1095. It is located in Thurleigh. The ICAO location identifier for the Bedford Aerodrome is EGBF.", "The Bedford Aerodrome has runway length of 1095.0 and has an elevation of 83.2104 above sea level. It is located in Thurleigh, and its international Civil aviation (ICAO) identifier is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | elevationAboveTheSeaLevel | 83.2104", "doc_id": 623, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01,", "target": ["Lady Anne Monson was born in Darlington in the Kingdom of England on January 1, 1726. She was the spouse of George Monson. Lady Anne Monson died on 1776-02-18.", "Lady Anne Monson was born in Darlington, Kingdom of England on the date January 1, 1726 and became the spouse of George Monson before her death on February 18th, 1776.", "Lady Anne Monson was born on January 1, 1726 in Darlington which is a part of the Kingdom of England. She was married to George Monson and died on February 18, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Darlington, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthPlace | Kingdom_of_England, Lady_Anne_Monson | spouse | George_Monson", "doc_id": 1228, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property | Gettysburg,_Pennsylvania", "target": ["The 11th Mississippi Infantry Monument is located in Adams County, Pennsylvania and was erected in 2000. The monument is in the municipality of Gettysburg in Pennsylvania and is categorised as a contributing property. Southwest of Adams County lies Frederick County Maryland.", "The 11th Mississippi Infantry Monument is in the municipality of Gettysburg, Pennsylvania and falls under the category of contributing property. The monument is in Adams County, which has Frederick County, Maryland to the southwest, and was established in the year 2000.", "Adams County, Pennsylvania has Frederick County, Maryland to its southwest and contains the municipality of Gettysburg where the 11th Mississippi Infantry Monument has stood since the year 2000. The monument is categorized as a Contributing Property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 129, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | state | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | city | \"India\", Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_", "target": ["The Acharya Institute of Technology campus is located in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090, Karnataka, India and it is affiliated to Visvesvaraya Technological University.", "The campus of the Acharya Institute of Technology is located at Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore, Karnataka \u2013 560090, India and it is affiliated with the Visvesvaraya Technological University.", "The Acharya Institute of Technology can be found in India in the state of Karnataka, is affiliated with Visvesvaraya Technological University, and the campus address is: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", Acharya_Institute_of_Technology | affiliation | Visvesvaraya_Technological_University, Acharya_Institute_of_Technology | country | \"India\", Acharya_Institute_of_Technology | state | Karnataka", "doc_id": 794, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | state | country | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state | state | city | state | city | state | city | state | city | state | city | state | city | state | city | state", "target": ["Bionico is a dessert found in Guadalajara in Mexico. The currency of Mexico is the peso.", "Bionico is a food found in Mexico. Peso is the Mexican currency. Bionico is a dish served for dessert, from the Guadalajara region.", "Mexico is a country where the currency is the peso and a dessert is Bionico, which is found in Guadalajara."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | country | Mexico", "doc_id": 1467, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super_Capers | runtime | 98.0 min.\nSuper_Capers | starring | Michael_Rooker, Super_Capers | language | English_language, Super", "target": ["Tom Sizemore stars in Super Capers alongside Michael Rooker who also appears in the movie. Super Capers is a film spoken in English that runs for 98 minutes.", "Super Capers is a 98-minute English-language film starring Michael Rooker and Tom Sizemore.", "Super Capers is an English-language movie starring Michael Rooker and Tom Sizemore. Its duration is 98 minutes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker, Super_Capers | starring | Tom_Sizemore, Super_Capers | language | English_language, Super_Capers | runtime | 98.0", "doc_id": 1275, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "km2 (including the city of Karlsruhe) is the capital of the federal state of Baden-W\u00fcrttemberg, Germany. It is located in the southwest of the country, on the Neckar River. The city is the seat of the University of Karlsruhe, the largest university in the state.\nThe city is located in the southwest of Germany, on the Neckar River. The city is the seat of the University of Karlsruhe, the largest university in the state.\nThe city is located in the southwest of Germany, on the Neckar River. The city is the seat of the University of Karlsruhe, the largest university in the state.\nThe city is located in the southwest of Germany, on the Neckar River. The city is the seat of the University of Karlsruhe, the largest university in the state.\nThe city is located in the southwest of Germany, on the Neckar River. The city is the seat of the University of Karlsruhe, the largest university in the state.\nThe city is located in the southwest of Germany, on the Neckar River. The city is the seat of the University of Karlsruhe", "target": ["The total area of Karlsruhe |is 173.46.", "Karlsruhe has a total area of 173.46 square kilometres.", "Karlsruhe has a total area of 173.46."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nKarlsruhe | areaTotal | 173.46", "doc_id": 1218, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18, Lady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 17", "target": ["Lady Anne Monson lived from January 1, 1726 to February 18, 1776.", "Lady Anne Monson lived from January 1st 1776 to the 18th of February 1776.", "Lady Anne Monson was born on January 1, 1726 and died on February 18th, 1776."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthDate | 1726-01-01, Lady_Anne_Monson | deathDate | 1776-02-18", "doc_id": 476, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.", "target": ["The Year of No Light album Nord's record label is E-Vinyl.", "The record label of Nord, the Year of No Light album, is E-Vinyl.", "The Year of No Light album, Nord, was released on the E-Vinyl record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | recordLabel | E-Vinyl", "doc_id": 429, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | knownFor | Stochastic_", "target": ["Darinka Dentcheva, born January 1, 1958, is a professional in the field of mathematical optimization known for Stochastic programming.", "Darinka Dentcheva was born on January 1st, 1958 and is known for her work with stochastic programming. Her professional field is Mathematical Optimization.", "Darinka Dentcheva (born on January 1, 1958) is a mathematician in the field of mathematical optimization who is known for her work with stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming", "doc_id": 985, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29, The_Hobbit | releaseDate | 1954-07-29,", "target": ["Fellowship of the Ring, a fantasy novel created by J.R.R. Tolkien was released on July 29, 1954; the Hobbit came before The Fellowship of the Ring.", "J.R.R. Tolkien is the author of The Fellowship of the Ring published on July 29, 1954. This book belongs to the fantasy genre and came after The Hobbit.", "Fantasy is The Fellowship of the Ring's genre, and it was released on July 29, 1954. The Fellowship of the Ring was written by J.R.R. Tolkien and was preceded by the Hobbit."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien, The_Fellowship_of_the_Ring | releaseDate | 1954-07-29, The_Fellowship_of_the_Ring | precededBy | The_Hobbit", "doc_id": 53, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers | The_Capers", "target": ["Super Capers is a film starring Michael Rooker.", "Super Capers starred Michael Rooker.", "Michael Rooker played in Super Capers."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Michael_Rooker", "doc_id": 1445, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "-12 | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL | NFL", "target": ["Akeem Ayers, who started his career in 2011, debuted for the Tennessee Titans.", "Hakeem Ayers started his career in 2011 when he debuted for the Tennessee Titans.", "Akeem Ayers, part of the Tennessee Titans has been active since 2011."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAkeem_Ayers | debutTeam | Tennessee_Titans, Akeem_Ayers | activeYearsStartYear | 2011", "doc_id": 864, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Adolfo Suarez Madrid-Barajas airport is located at Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas. It is operated by ENAIRE and is 610 metres above sea level.", "Adolfo Suarez Madrid-Barajas Airport is operated by ENAIRE. The airport has an elevation of 610.0 metres above sea level and is located in Madrid, Paracuellos de Jarama, San Sebastian de los Reyes and Alcobendas.", "Adolfo Su\u00e1rez Madrid-Barajas Airport has an elevation of 610.0 metres above sea level. It is operated by ENAIRE and found in Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | location | \"Madrid, Paracuellos de Jarama, San Sebasti\u00e1n de los Reyes and Alcobendas\"", "doc_id": 636, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th", "target": ["A monument to the 11th Mississippi Infantry was erected in 2000 categorised as a contributing property and stands in the state of Pennsylvania in the municipality of Gettysburg in Pennsylvania located in Adams County, Pennsylvania. Carroll County Maryland is southeast and Pennsylvania's Cumberland County is to the north of the Adams County.", "Categorised as a contributing Property, the 11th Mississippi Infantry Monument was established in 2000. It is located in Adams County in the municipality of Gettysburg in Pennsylvania. This county has Carroll County, Maryland to its southeast, and Cumberland county to its north.", "The 11th Mississippi Infantry Monument, located in the municipality of Gettysburg in Adams County, Pennsylvania, which sits north of Carroll County, Maryland, and south of Cumberland County, was established in the year 2000 and falls under the category of Contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania", "doc_id": 649, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Olga Bondareva, whose professional field was Economics and Mathematics, died on December 9, 1991.", "Olga Bondareva, an economist that was a known professional in the field of mathematics, died on December 9, 1991.", "Olga Bondareva, who worked in the fields of economics and mathematics, died on December 9th, 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics", "doc_id": 1195, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time", "target": ["Ciudad Ayala has a council-manager government led by governator Juan Nolasco. It has population density 1604.0. It is in the Pacific Standard Time Zone putting it on PDT.", "Juan Nolasco is governator in the council-manager governed Ciudad Ayala. It is on Pacific Daylight Time in the Pacific Standard Time Zone. The population density is 1604.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | governmentType | Council-manager_government, Ciudad_Ayala | populationDensity | 1604.0, Ciudad_Ayala | leaderTitle | Governator, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | leader | Juan_Nolasco", "doc_id": 1571, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| noise_rock | noise_music | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise_rock | noise", "target": ["Noise music is an origin of noise rock.", "The stylistic origins of noise rock are from noise music.", "The stylistic origin of noise rock is noise music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNoise_rock | stylisticOrigin | Noise_music", "doc_id": 351, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 12th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 12th_Mississippi_Infantry_Monument | category | \"United States\"\n13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 13th_Mississippi_Infantry_Monument | category | \"United States\"\n14th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 14th_Mississippi_Infantry_Monument | category | \"United States\"\n15th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 15th_Mississippi_Infantry_Monument | category | \"United States\"\n16th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 16th_Mississippi_Infantry_Monument | category | \"United States\"\n17th_Mississippi_", "target": ["The 11th Mississippi Infantry Monument is in Adams County, USA, in the municipality of Gettysburg in Pennsylvania. The monument is categorised as a contributing property.", "The 11th Mississippi Infantry Monument's location is in Adams County, Pennsylvania, in the municipality of Gettysburg. The 11th Mississippi Infantry Monument falls under the category of Contributing property and it is in the United States of America.", "The 11th Mississippi Infantry Monument's location, which comes under the category of Contributing property, is in Adams County, Pennsylvania in the USA. This is in the municipality of Gettysburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 1476, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language.\nI will show a sentence in natural language", "target": ["Writer of the 1956 film It's Great to Be Young is Ted Willis.", "Ted Willis is the writer of the film It's Great to Be Young.", "The writer of \u201cIt\u2019s great to be young\u201d is Ted Willis."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | writer | Ted_Willis", "doc_id": 204, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, HarryCarey, Harry", "target": ["Directed by Cyril Bruce, McVeagh of the South Seas stars actor Harry Carey, who was born in eighteen seventy-eight.", "Harry Carey, born in 1878, starred in the McVeagh of the South Seas film directed by Cyril Bruce.", "Born in 1878, Harry Carey was a movie actor who starred in McVeagh of the South Seas, directed by Cyril Bruce."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878)", "doc_id": 1208, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | almaMater | \"NWC,", "target": ["Alan Shepard was born on Nov 18, 1923 in New Hampshire, went to school at NWC and graduated with an MA in 1957 and was a member of the Apollo 14 crew.", "Alan Shepard was born on November 18, 1923 in New Hampshire. Shepard graduated from NWC in 1957 with an M.A. and served as a crew member of Apollo 14.", "Alan Shepard was born in New Hampshire on November 18th, 1923. He graduated from NWC with an M.A. in 1957 and went on to be a crew member of Apollo 14."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_Shepard | birthDate | \"1923-11-18\", Alan_Shepard | birthPlace | New_Hampshire, Alan_Shepard | almaMater | \"NWC, M.A. 1957\", Alan_Shepard | mission | Apollo_14", "doc_id": 267, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor_Records | parentCompany | Universal Music Group, Inc.\nPolydor", "target": ["The parent company of Polydor Records is Universal Music Group.", "Universal Music Group is the parent company of Polydor Records.", "Polydor Records' parent company is Universal Music Group."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPolydor_Records | parentCompany | Universal_Music_Group", "doc_id": 263, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation, icaoLocation", "target": ["Bedford Aerodrome has a runway length of 1095 and has served the Bedford Autodrome. The aerodrome has an operating organization that is called the MotorSport Vision. The ICAO location identifier for Bedford Aerodrome is EGBF.", "The Bedford Aerodrome serves the Bedford Autodrome and is operated by MotorSport Vision. The runway length at the Bedford Aerodrome is 1095. The ICAO location identifier for the Bedford Aerodrome is EGBF.", "The Bedford Aerodrome serves the Bedford Autodrome and is operated by MotorSport Vision. Bedford Aerodrome's International Civil Aviation Organization (ICAO) identifier is EGBF and it has a runway length of 1095."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | icaoLocationIdentifier | EGBF", "doc_id": 1013, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man who was killed by a factory farm. The film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is a combination of interviews, archival footage, and animation.\nThe film is", "target": ["Sarah Teale directed the movie Death on a Factory Farm which has a duration of 83 minutes.", "The film 'Death on a Factory Farm' was directed by Sarah Teale and is 83 minutes long.", "Death on a Factory Farm is directed by Sarah Teale and has a running time of 83.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Sarah_Teale, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 756, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".2016 | The Velvet Underground | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:_The_Quine_Tapes | bootleg_series_volume_1:", "target": ["Bootleg Series Volume I: The Quine Tapes was created by The Velvet Underground and is 230.05 minutes long.", "Music group the Velvet Underground released album Bootleg Series Volume 1: The Quine Tapes, which have a runtime of 230.05 minutes.", "Bootleg Series Volume 1: The Quine Tapes by The Velvet Underground, has a run time of 230:05."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | runtime | 230.05", "doc_id": 178, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | type | S.A.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nHypermarcas | industry | Pharmaceuticals", "target": ["Operating as an S.A. corporation and parent to Mantecorp, Hypermarcas is a pharmaceutical company that makes healthcare products. Hypermarcas has 10,252 employees and a net income of $108,600,000.", "Hypermarcas is a type of S.A. corporation that produces healthcare products in the pharmaceutical industry. With 10252 employees, Hypermarcas has a net income of 108,600,000 and a subsidiary called Mantecorp.", "Hypermarcas is an S.A. corporation in the pharmaceutical industry. They sell healthcare products and own the subsidiary Mantecorp. They employ 10,252 people and have a net income of $108,600,000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | industry | Pharmaceuticals, Hypermarcas | type | S.A._(corporation), Hypermarcas | subsidiary | Mantecorp, Hypermarcas | netIncome | 108600000, Hypermarcas | numberOfEmployees | 10252, Hypermarcas | product | Healthcare", "doc_id": 946, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | United_States, Abraham_A._Ribicoff | occupation | United_States, Abraham_A._Ribicoff | education | United_States, Abraham_A._Ribicoff | hobbies | United_States, Abraham_A._Ribicoff | interests | United_States, Abraham_A._Ribicoff | favorite movie, TV show, book, music | United_States, Abraham_A._Ribicoff | favorite food, drink, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_States, Abraham_A._Ribicoff | favorite vacation spot, restaurant, or activity | United_", "target": ["Abraham A. Ribicoff was born and raised in the US.", "Abraham A. Ribicoff was born in the United States Of America.", "Abraham A. Ribicoff, a United States national, was born in the US."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | birthPlace | United_States, Abraham_A._Ribicoff | nationality | United_States", "doc_id": 746, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media | industry | Entertainment | GMA_New_Media |", "target": ["GMA New Media is a company in the entertainment industry that is located inside the GMA Network Center, which is in the Philippines,.", "Member of the entertainment industry, The GMA New Media, is located in the GMA Network Center in the Philippines.", "GMA New Media is located in the GMA Network Center in the Philippines and offers applications in the entertainment industry."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nGMA_New_Media | location | GMA_Network_Center, GMA_New_Media | location | Philippines, GMA_New_Media | industry | Entertainment", "doc_id": 1776, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert | dessert", "target": ["Much like Sandesh, Bionico is a dessert food containing chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins from the region of Guadalajara, Mexico, which is inhabited by Mexicans and uses pesos as its currency.", "Sandesh and Bionico are two desserts, the latter is found in Guadalajara, Mexico and made of chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins, which can be purchased by Mexicans, people living in Mexico, with the Mexican peso, the local currency.", "Sandesh is a dessert, much like Bionico, contains sour cream, chopped fruits, condensed milk, granola, raisins and shredded coconut and can be found in the Guadalajara region of Mexico, which is inhabited by Mexicans and uses pesos as their currency."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | mainIngredient | \"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins\", Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 1464, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| age | height | weight | education | occupation | hobbies | interests | favorite movies | favorite books | favorite music | favorite TV shows | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite", "target": ["Abraham Ribicoff was born in the USA. He was married to Casey Ribicoff and was succeeded by John N. Dempsey.", "Abraham A. Ribicoff was born in the USA and was married to Casey Ribicoff. He was succeeded by John N. Dempsey.", "The United States was the birthplace of Abraham A. Ribicoff. He was married to Casey Ribicoff and he preceded John N. Dempsey."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 555, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer | Pontiac_Rageous | manufacturer |", "target": ["The Pontiac Rageous was a car manufactured by Pontiac which both began and ended production in 1997.", "The Pontiac Rageous was first produced in 1997, last produced in 1997 and was manufactured by Pontiac.", "The Pontiac Rageous manufactured by Pontiac was first and last produced in 1997."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | productionStartYear | 1997, Pontiac_Rageous | productionEndYear | 1997, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 203, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALC", "target": ["The ALCO RS-3, produced between May 1950 and August 1956 with a V12 engine, has a length of 17068.8 (millimetres).", "The ALCO RS-3 was produced between May 1950 and August 1956. It has a V12 engine and its length is 17068.8 millimetres.", "The ALCO RS-3 has a V12 engine, is 17068.8 millimetres long and was produced between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 910, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Darinka Dentcheva developed a theory influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva was influenced by Andrzej Piotr Ruszczy\u0144ski.", "Darinka Dentcheva was influenced by Andrzej Piotr Ruszczynski."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | influencedBy | Andrzej_Piotr_Ruszczy\u0144ski", "doc_id": 38, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | Mexico | country | country | Mexico | country | Mexico | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | Mexico | country | country | country | Mexico | country | country | country | Mexico | country | country | country | Mexico | country | country | country | Mexico | country | country | country | Mexico | country | country | country | Mexico | country | country | country | country | Mexico | country | country", "target": ["Honey can be added to bionico, which is a food found in Mexico.", "Bionico is a Mexico food in which honey is used as a variation.", "Honey can be used as a variation in the dish Bionico found in Mexico."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBionico | dishVariation | Honey, Bionico | country | Mexico", "doc_id": 566, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, Bionico | country | Mexico | currency | Mexican_peso, Bionico | course | dessert, Dessert | dishVariation | cookie, B", "target": ["Bionico is a dessert found in Mexico where peso is the currency. Cookie is also a dessert.", "Bionico is a dessert dish found in Mexico and the currency of Mexico is the peso. Cookie is also a dessert.", "Bionico is a dessert food found in Mexico where the currency is the peso. Another type of dessert is the cookie."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Bionico | course | Dessert, Dessert | dishVariation | Cookie, Bionico | country | Mexico", "doc_id": 454, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | engine | V12_engine, ALC", "target": ["The ALCO RS-3 was produced between May 1950 and August 1956, has a V12 engine, a diesel-electric transmission and was 17068.8 millimetres long.", "Produced between May 1950 and August 1956, the ALCO RS-3 has a V12 engine and diesel-electric transmission. Its total length is 17068.8 mm.", "The ALCO RS-3 was produced between May 1950 and August 1956, has a V12 engine, a diesel-electric transmission and a length of 17068.8 millimetres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 805, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinabank | foundationPlace | insular_government_of_the_Philippines, Chinab", "target": ["Chinabank is a publicly traded company founded in Manila at the time of the Insular Government the Philippine Islands. Manila is a capital city.", "Chinabank is a public company founded in the capital city of Manila, Philippine. Its headquarters are located in the Insular Government of the Philippine Islands.", "Chinabank was founded in the Insular Government of the Philippine Islands, in the capital of Manila. It is a publicly traded company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nChinabank | foundationPlace | Manila, Manila | type | Capital_city, Chinabank | type | Public_company, Chinabank | foundationPlace | Insular_Government_of_the_Philippine_Islands", "doc_id": 571, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Theorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural", "target": ["Olga Bondareva is known for Bondareva-Shapley theorem.", "Olga Bondareva is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem", "doc_id": 1585, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album) | genre", "target": ["Expect a Miracle by Brian Kelly, an album of the easy listening genre, was preceded by the album Pools of Light.", "Expect a Miracle's genre is easy listening, and is preceded by the Brian Kelly album Pools of Light.", "The Brian Kelly album Expect a Miracle, an album in the easy listening musical genre, was preceded by the album Pools of Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album)", "doc_id": 777, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ",_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_Cambridge,_Dame_of_", "target": ["The chancellor of the University of Cambridge is David Sainsbury, Baron Sainsbury of Turville.", "A chancellor of the University of Cambridge is David Sainsbury, who is also known as Baron Sainsbury of Turville.", "David Sainsbury, also known as the Baron Sainsbury of Turville, is the chancellor of the University of Cambridge."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Cambridge | chancellor | David_Sainsbury,_Baron_Sainsbury_of_Turville", "doc_id": 1527, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsEast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouth | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | category | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_", "target": ["The 11th Mississippi Infantry Monument was established in 2000 and categorized as a contributing Property. It is placed in the municipality of Gettysburg, Adams County, Pennsylvania. To the west of Adams County, Pennsylvania, is Franklin County, Pennsylvania, and it has Carroll County, Maryland to its southeast.", "The 11th Mississippi Infantry Monument, a Contributing Property, (established in 2000) is in the municipality of Gettysburg in the Adams County of Pennsylvania that is to the East of Franklin County. Carroll County, Maryland lies to the southeast of Adams County, Pennsylvania.", "Erected in 2000, the 11th Mississippi Infantry Monument is located in the municipality of Gettysburg in Adams County, Pennsylvania. Franklin County lies to the west of this contributing property, with Carroll County, Maryland to the southeast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdams_County,_Pennsylvania | hasToItsWest | Franklin_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | state | \"Pennsylvania\", 11th_Mississippi_Infantry_Monument | municipality | Gettysburg,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 1156, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, FIMI, F", "target": ["The song Mermaid was written by the band Train And produced by the Espionage production team. The song was followed by the release of the band\u2019s cover of Imagine by John Lennon. The original song Imagine by John Lennon earned the FIMI certification.", "The song Mermaid, which was produced by the Espionage production team, belongs to the musical band Train. The song was followed by their cover of the John Lennon song Imagine and the original song Imagine by John Lennon is certified by FIMI.", "The musical band Train song Mermaid, produced by the team Espionage was followed by \"Imagine\", a FIMI certified song by John Lennon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band), Mermaid_(Train_song) | producer | Espionage_(production_team), Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Imagine_(John_Lennon_song) | certification | FIMI", "doc_id": 1672, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres) | engine | V12_engine", "target": ["The ALCO RS-3, powered by a V12 engine, is 17068.8 (millimetres) in length.", "At 17068.8 millimetres in length, the ALCO RS-3 has a V12 engine.", "The length of the V12 ALCO RS-3 is 17068.8 millimetres."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | engine | V12_engine, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 852, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"\nI will verbalize an", "target": ["Olga Nikolaevna Bondareva, (born April 27, 1937) died in Saint Petersburg. She was best known for the \"Bondareva-Shapley theorem.\"", "Olga Nikolaevna Bondareva, known for the Bondareva-Shapley theorem, was born on April 27, 1937 and died in Saint Petersburg.", "Olga Bondareva, born \"Olga Nikolaevna Bondareva\" on April 27th, 1937 and known for the Bondareva-Shapley theorem, died in Saint Petersburg."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthDate | 1937-04-27, Olga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\"", "doc_id": 52, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | established | 2000, 12th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | established | 2000, 13th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsSouthwest | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Mon", "target": ["In 2000, the 11th Mississippi Infantry Monument, a contributing property was established in Adams County, Pennsylvania (United States). To its southwest is Frederick County, Maryland, with Carroll County, Maryland to the southeast, and Cumberland County, Pennsylvania to the north.", "The 11th Mississippi Infantry Monument (established in 2000 in Pennsylvania, US) is categorized as a Contributing Property. It is in the Adams County that has the Cumberland county to its North, Frederick County to its southwest and Carroll County, Maryland, to its southeast.", "A monument to the 11th Mississippi Infantry, located in Adams County, Pennsylvania, United States, which is south of Cumberland County, northeast of Frederick County Maryland and northwest of Carroll County Maryland, was erected in 2000 and is categorized as a contributing property."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, Adams_County,_Pennsylvania | hasToItsSoutheast | Carroll_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property, Adams_County,_Pennsylvania | hasToItsNorth | Cumberland_County,_Pennsylvania, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 614, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band) | associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album)", "target": ["The American band, the Honeymoon Killers, self-produced its album Turn Me On, with the help of some musicians from an associated musical group called Pussy Galore.", "The Honeymoon Killers, producers of the album Turn Me On, are also associated with the band Pussy Galore.", "The Honeymoon Killers, also associated with the band Pussy Galore, produced the album 'Turn Me On'."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Honeymoon_Killers_(American_band) | associatedBand/associatedMusicalArtist | Pussy_Galore_(band), Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 761, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC", "target": ["Steve Bright is the creator of Bananaman which was broadcast by the BBC and starred in by Bill Oddie.", "Bill Oddie starred in Bananaman, which was created by Steve Bright and was broadcasted by the BBC.", "Bananaman was created by Steve Bright and starred Bill Oddie. The show was shown on the BBC."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, Bananaman | broadcastedBy | BBC", "doc_id": 716, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_", "target": ["The Velvet Underground, produced their album Bootleg Series Volume 1: The Quine Tapes.", "The album \"Bootleg Series Volume 1: The Quine Tapes\" was written and produced by the Velvet Underground.", "The Velvet Underground created and produced the album Bootleg Series Volume 1: The Quine Tapes."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | artist | The_Velvet_Underground, Bootleg_Series_Volume_1:_The_Quine_Tapes | producer | The_Velvet_Underground", "doc_id": 229, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous | Pontiac_Rageous |", "target": ["Pontiac Rageous is manufactured by Pontiac. It\u2019s assembled in Detroit city in Wayne county, Michigan.", "The Pontiac Rageous was manufactured by Pontiac and the assembly line was located in Detroit. Detroit, which is part of Michigan, is located in Wayne County.", "The Pontiac Rageous was a car manufactured by Pontiac in Detroit, which much like Wayne County, is located in Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Detroit, Detroit | isPartOf | Wayne_County,_Michigan, Detroit | isPartOf | Michigan, Pontiac_Rageous | manufacturer | Pontiac", "doc_id": 353, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Pop_rock | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock_music | stylisticOrigin | Rock", "target": ["A stylistic origin of pop rock is rock music.", "Pop rock has its stylistic origin in rock music.", "The stylistic origin of pop rock is rock music."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPop_rock | stylisticOrigin | Rock_music", "doc_id": 177, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995 | Aaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band),", "target": ["Aaron Turner, who played with the band Twilight, started performing in 1995.", "Aaron Turner from the band Twilight started performing in 1995.", "Aaron Turner started performing in 1995 and played with the band Twilight."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | associatedBand/associatedMusicalArtist | Twilight_(band), Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1291, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| width | 4.5 (inches) | height | 1.5 (centimetres) | weight | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres) | speed | 1.5 (millimetres) | power | 1.5 (millimetres", "target": ["The ALCO RS-3, produced between May 1950 and August 1956, has a length of 17068.8 millimetres and a diesel-electric transmission.", "The ALCO RS-3 had a diesel-electric transmission, measured 17068.8 (millimetres) in length and was produced between May 1950 and August 1956.", "ALCO RS-3, which is 17068.8 millimetres long and has a diesel-electric transmission, was made between May 1950 and August 1956."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nALCO_RS-3 | buildDate | \"May 1950 - August 1956\", ALCO_RS-3 | powerType | Diesel-electric_transmission, ALCO_RS-3 | length | 17068.8 (millimetres)", "doc_id": 1126, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember | Lou_Reed | The_Velvet_Underground | formerBandMember", "target": ["Lou Reed is a former band member of the Velvet Underground.", "Lou Reed is a former member of the band The Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Velvet_Underground | formerBandMember | Lou_Reed", "doc_id": 1141, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |", "target": ["Terence Rattigan died in 1977.", "The death year of Terence Rattigan is 1977."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTerence_Rattigan | deathYear | 1977-01-01", "doc_id": 325, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop | Baroque pop", "target": ["Baroque pop is a fusion genre which includes some elements of pop rock.", "Baroque pop is a fusion genre of pop rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPop_rock | musicFusionGenre | Baroque_pop", "doc_id": 1284, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state, Unitary_state", "target": ["The Kingdom of England, the place where Lady Anne Monson was born, was a unitary state.", "Lady Anne Monson was born in the Kingdom of England, which has a unitary state form of government.", "Lady Anne Monson\u2019s Kingdom of England birthplace used a unitary state form of government."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLady_Anne_Monson | birthPlace | Kingdom_of_England, Kingdom_of_England | governmentType | Unitary_state", "doc_id": 458, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete, concrete", "target": ["Bedford Aerodrome is located in Thurleigh. This airport serves the Bedford Autodrome and is operated by MotorSport Vision. The runway is 1095 meters long and is made of concrete. The ICAO location identifier for Bedford Aerodrome is EGBF.", "Bedford Aerodrome is located in Thurleigh. This airport serves the Bedford Autodrome and is operated by MotorSport Vision. The runway is 1095 meters long and made of concrete. The ICAO location identifier for Bedford Aerodrome is EGBF."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | runwayLength | 1095.0, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh, Bedford_Aerodrome | icaoLocationIdentifier | EGBF, Bedford_Aerodrome | runwaySurfaceType | Concrete", "doc_id": 658, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | city | country | country | city | country | city | country | country | city | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city | country | country | city", "target": ["Mexico is inhabited by Mexican people and the currency is the peso. Bionico is a dessert containing raisins from the Mexican region of Guadalajara, which is served as a dessert course much like cookies.", "Mexico has people called Mexicans and uses the Mexican peso as its currency. Bionico, served as a dessert, is from the Guadalajara region in Mexico and contains raisins. A cookie is a dessert as well.", "Bionico is a type of dessert food, containing raisins, found in Guadalajara, Mexico. Mexico is inhabited by Mexicans, and the peso is its currency. Cookie is also a dessert."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | ingredient | Raisin, Dessert | dishVariation | Cookie, Bionico | country | Mexico", "doc_id": 671, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English_language | English", "target": ["The Pontiac Rageous is assembled in English speaking Michigan.", "The Pontiac Rageous was assembled in Michigan, where they speak English.", "The Pontiac Rageous was assembled in Michigan, in which English is spoken."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan, Michigan | language | English_language", "doc_id": 456, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva", "target": ["Economist Olga Bondareva with full name Olga Nikolaevna Bondareva graduated from Leningrad State University. She died in Saint Petersburg on the 9th of December, 1991.", "Olga Bondareva, born Olga Nikolaevna Bondareva, graduated from Leningrad State University and worked in economics. She died on 9 December 1991 in Saint Petersburg.", "Olga Bondareva, born \"Olga Nikolaevna Bondareva\" and former student at Leningrad State University, was an economist who died in Saint Petersburg on December 9, 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University, Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics", "doc_id": 1465, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J.R.R. Tolkien, J", "target": ["The Fellowship of the Ring, which was written by J.R.R. Tolkien, is included in the Fantasy genre..", "The fantasy book The Fellowship of the Ring was written by J.R.R. Tolkien.", "The Fellowship of the Ring by J.R.R. Tolkien belongs to the fantasy genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nThe_Fellowship_of_the_Ring | literaryGenre | Fantasy_(genre), The_Fellowship_of_the_Ring | author | J._R._R._Tolkien", "doc_id": 358, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Lisel", "target": ["Liselotte Grschebina was born in Karlsruhe in the German Empire on May 2nd, 1908 and she died on June 14, 1994.", "Liselotte Grschebina, who was born on 1908-05-02 in Karlsruhe within the German Empire, died on the 14th of June, 1994.", "Liselotte Grschebina was born in Karlsruhe, in the German Empire, on May 2, 1908, and died on June 14, 1994."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | Karlsruhe, Liselotte_Grschebina | birthDate | 1908-05-02, Liselotte_Grschebina | deathDate | 1994-06-14, Liselotte_Grschebina | birthPlace | German_Empire", "doc_id": 1012, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon, France | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_B", "target": ["The University of Burgundy in Dijon has 2900 staff members that educate 16800 undergraduate students, 1299 doctoral students, and 9400 postgraduate students a total of 27400 students combined.", "The University of Burgundy in Dijon has 2900 staff members that serve 27400 students, of which 1299 are doctoral students and 16800 are undergraduates.", "There are 27400 students at the University of Burgundy, 16800 are undergraduate students,1299 doctoral students and 2900 staff members.The university campus is located in Dijon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299, University_of_Burgundy | campus | Dijon", "doc_id": 900, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | Harry_Carey_(actor", "target": ["McVeagh of the South Seas is a film directed by Cyril Bruce and Harry Carey. It\u2019s a film that is logged in the IMDb database with the ID of 0004319. Carey was born on 1878 and was the writer of the film while he played a major character in the movie too. This movie was distributed by Alliance Films Corporation.", "McVeagh of the South Seas stars its own writer, director, and actor Harry Carey, who was born in 1878. It can be found in the IMDb if you input the ID 0004319. It was directed by Cyril Bruce and distributed by Alliance Films Corporations.", "McVeagh of the South Seas is a film directed by Cyril Bruce, written and directed by Harry Carey (born 1878) and distributed by Alliance Films Corporation. The film is registered in IMDb with the ID 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce, McVeagh_of_the_South_Seas | director | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | distributor | Alliance_Films_Corporation", "doc_id": 345, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_tears | English_without_", "target": ["Harold French was a film director who directed English without Tears.", "Harold French served as film director of 'English Without Tears'.", "Film director Harold French directed English Without Tears."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | director | Harold_French, Harold_French | occupation | Film_director", "doc_id": 983, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "min.\nThe film is a documentary about the death of a young man who was killed in a factory farm. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner. The film is a combination of interviews with the family, the police, and the factory owner", "target": ["Tom Simon produced and directed the film Death on a Factory Farm whilst Jamie Lawrence composed the music. This film lasted for 83 minutes and was edited by Geof Bartz and broadcast by HBO.", "Death on a Factory Farm is an 83 minute long film edited by Geof Bartz. The music in the film was composed by Jamie Lawrence, produced by Tom Simon, edited by Geof Bartz and is broadcasted by HBO.", "Tom Simon directed and produced the 83 minute movie Death on a Factory Farm which was released by HBO. Jamie Lawrence wrote the music for the movie which Geof Bartz edited."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | broadcastedBy | HBO, Death_on_a_Factory_Farm | editor | Geof_Bartz, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | runtime | 83.0", "doc_id": 912, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| nationality | height | weight | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height | weight | height", "target": ["Nie Haisheng, born on October 13, 1964, worked as a fighter pilot.", "Nie Haisheng is a former fighter pilot who was born on October 13, 1964.", "Nie Haisheng born on 10/13/1964 is a fighter pilot."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNie_Haisheng | birthDate | 1964-10-13, Nie_Haisheng | occupation | Fighter_pilot", "doc_id": 1, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light_album | genre | Sludge_metal, Sludge_metal, Nord_(Year_of_No_Light_album) |", "target": ["The album Nord was produced by Year of No Light and won the album of the year in the sludge metal genre.", "The Year of No Light produced album Nord, which is in the sludge metal genre.", "The sludge metal album Nord was produced by the band Year of No Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | genre | Sludge_metal, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light", "doc_id": 1443, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food | food", "target": ["Sandesh is a dessert, as is Bionico which contains granola and is from the Guadalajara region of Mexico. Mexico uses pesos as their currency and the people that live there are Mexicans.", "Sandesh and Bionico are desserts, the latter one found in Guadalajara, Mexico, and requires granola as an ingredient. Mexico is a country where Mexicans live and where that dessert can be purchased using the country currency, the peso.", "The people in Mexico are called Mexicans and the currency is the peso. Bionico is a dessert food found in Mexico in the Guadalajara area. This dish requires granola as one of its ingredients. Another types of dessert is Sandesh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | course | Dessert, Bionico | region | Guadalajara, Bionico | ingredient | Granola, Dessert | dishVariation | Sandesh_(confectionery), Bionico | country | Mexico", "doc_id": 645, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Beatles | The Rolling Stones | The Who | The Kinks | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The Who | The", "target": ["The stylistic origin of the musical genre punk blues lies in earlier garage rock sound.", "The stylistic origin of punk blues is garage rock.", "Punk blues' origin is garage rock."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPunk_blues | stylisticOrigin | Garage_rock", "doc_id": 1331, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfProfessors | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssistants | 1299, University_of_Burgundy | numberOfAssist", "target": ["With 2900 staff members, The University of Burgundy services 27400 students, 1299 of whom are working on their doctorate degrees.", "The University of Burgundy has 2900 staff members, 27400 students, and 1299 doctoral students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | staff | 2900, University_of_Burgundy | numberOfStudents | 27400, University_of_Burgundy | numberOfDoctoralStudents | 1299", "doc_id": 734, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund | runtime | 3.16, Mermaid_(Train_song) | writer | Espen_Lind, Amund_Bj\u00f8rklund", "target": ["The train song Mermaid, released on Dec. 27th, 2012 and written by Amund Bjorklund and Espen Lind, was preceded by the song This'll Be My Year. Mermaid lasts 3.16 minutes.", "Train released their song Mermaid on December 27th, 2012. The song was written by Amund Bjorklund and Espen Lind, and runs three minutes and sixteen seconds long. Train's most recent song before Mermaid was This'll Be My Year.", "Mermaid by Train was written by Espen Lind and Amund Bjorklund. The song, which runs 3 minutes and 16 seconds long, was released on December 27th, 2012. Train's most recent song before Mermaid was This'll Be My Year."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | releaseDate | 2012-12-27, Mermaid_(Train_song) | precededBy | This'll_Be_My_Year, Mermaid_(Train_song) | writer | Espen_Lind, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | writer | Amund_Bj\u00f8rklund", "doc_id": 94, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC | BBC", "target": ["The BBC (located in Broadcasting House in London) last aired creator Steve Bright's Bananaman, starring Bill Oddie, on April 15th, 1986.", "The BBC (Broadcasting House) is based in London. The show Bananaman that starred Bill Oddie was broadcasted by BBC and last aired on April 15th, 1986. The creator of Bananaman was Steve Bright.", "Broadcasting House is also known as the Headquarters of the BBC. One of the BBC television shows, Bananaman was created by Steve Bright and starred Bill Oddie. Bananaman's last episode was broadcast on April 15, 1986."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | city | Broadcasting_House, Bananaman | starring | Bill_Oddie, Bananaman | creator | Steve_Bright, Bananaman | lastAired | \"1986-04-15\", Bananaman | broadcastedBy | BBC", "doc_id": 76, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "12th_Mississippi_Infantry_Monument | country | \"United States\"\n13th_Mississippi_Infantry_Monument | country | \"United States\"\n14th_Mississippi_Infantry_Monument | country | \"United States\"\n15th_Mississippi_Infantry_Monument | country | \"United States\"\n16th_Mississippi_Infantry_Monument | country | \"United States\"\n17th_Mississippi_Infantry_Monument | country | \"United States\"\n18th_Mississippi_Infantry_Monument | country | \"United States\"\n19th_Mississippi_Infantry_Monument | country | \"United States\"\n20th_Mississippi_Infantry_Monument | country | \"United States\"\n21st_Mississippi_Infantry_Monument | country | \"United States\"\n22nd_Mississippi_Infantry_Monument | country | \"United States\"\n23rd_Mississippi_Infantry_Monument | country | \"United States\"\n24th_Mississippi_Infantry", "target": ["The 11th Mississippi Infantry Monument was established in 2000 in the United States.", "In the United States, a monument to the 11th Mississippi Infantry was erected in 2000.", "The 11th Mississippi Infantry Monument, located in the United States, was established in the year 2000."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | established | 2000, 11th_Mississippi_Infantry_Monument | country | \"United States\"", "doc_id": 939, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Motor Co.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use to represent the sentence.\nThe following is a list of the words that I will use", "target": ["The Pontiac Rageous is manufactured by Pontiac.", "The Pontiac Rageous was a car manufactured by Pontiac."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | manufacturer | Pontiac", "doc_id": 1337, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&_pianist) | album | Brian_Kelly_(composer_&", "target": ["Expect a Miracle's genre is easy listening was produced and recorded by the artist Brian Kelly.", "Brian Kelly, a composer & pianist, produced the easy listening album, Expect a Miracle.", "Expect a Miracle is an easy listening album produced and written by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | genre | Easy_listening, Expect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist)", "doc_id": 1328, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | almaMater | University_of_", "target": ["Brandon Carter, a University of Cambridge alum in the field of General Relativity, was born on January 1, 1942.", "Brandon Carter, born on January 1, 1942, graduated from the University of Cambridge and is an expert in general relativity,.", "Brandon Carter was born on January 1, 1942. He graduated from the University of Cambridge and works in the professional field of General Relativity."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | almaMater | University_of_Cambridge, Brandon_Carter | birthDate | 1942-01-01", "doc_id": 948, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ".\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nShenzhou_10 | cosparId | 2013-029B.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nShenzhou_10 | cosparId | 2013-029C.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nShenzhou_10 | cosparId | 2013-029D.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nShenzhou_10 | cosparId | 2013-029E.\nI will verbalize an abstract representation of", "target": ["The COSPAR ID of Shenzhou 10 is 2013-029A."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nShenzhou_10 | cosparId | 2013-029A", "doc_id": 1459, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Abraham_A._Ribicoff | religion | Christian, Abraham_A._Ribicoff | occupation | lawyer, Abraham_A._Ribicoff | education | University, Abraham_A._Ribicoff | occupation, Abraham_A._Ribicoff | hobbies, Abraham_A._Ribicoff | favorite movie, Abraham_A._Ribicoff | favorite book, Abraham_A._Ribicoff | favorite song, Abraham_A._Ribicoff | favorite TV show, Abraham_A._Ribicoff | favorite sports team, Abraham_A._Ribicoff | favorite food, Abraham_A._Ribicoff | favorite drink, Abraham_A._Ribicoff | favorite place, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot, Abraham_A._Ribicoff | favorite vacation spot", "target": ["Abraham A. Ribicoff was of American nationality and was a member of the United States Democratic Party. He was born in the United States and was married to Ruth Ribicoff. During John F. Kennedy\u2019s presidency, Abraham was also in office.", "Abraham A. Ribicoff, whose spouse was Ruth Ribicoff, was born in the U.S. and was also a national of the United States. He was a member of the Democratic Party and was in office at the same time that John F. Kennedy was President.", "American citizen Abraham A. Ribicoff was a member of the Democratic Party in the USA and was married to Ruth Ribicoff. He was born in the USA and was in office while John F. Kennedy was president."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | party | Democratic_Party_(United_States), Abraham_A._Ribicoff | birthPlace | United_States", "doc_id": 875, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Bedfordshire, England, United Kingdom.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following", "target": ["MotorSport Vision is the operating organisation for Bedford Aerodrome. The aerodrome, located in Thurleigh, serves the Bedford Autodrome.", "MotorSport Vision operates the Bedford Aerodrome which serves the Bedford Autodrome and is in Thurleigh.", "The Bedford Aerodrome has an operating organization that is called the MotorSport Vision. The aerodrome serves the Bedford Autodrome and is located at Thurleigh."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBedford_Aerodrome | operatingOrganisation | MotorSport_Vision, Bedford_Aerodrome | cityServed | Bedford_Autodrome, Bedford_Aerodrome | location | Thurleigh", "doc_id": 1006, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany | Germany", "target": ["Darinka Dentcheva ( birth date January 1st, 1958) studied Mathematical optimization from Humboldt University. She is known for her work with stochastic programming.", "Darinka Dentcheva is a professional in the field of mathematical optimization and known for Stochastic programming. She was born on January 1, 1958 and graduated from Humboldt University.", "Darinka Dentcheva (born January 1, 1958) is a mathematician, who graduated from Humboldt University. Her field of study was mathematical optimisation, and she is known for her work with stochastic programming."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarinka_Dentcheva | birthDate | 1958-01-01, Darinka_Dentcheva | professionalField | Mathematical_optimization, Darinka_Dentcheva | knownFor | Stochastic_programming, Darinka_Dentcheva | almaMater | Humboldt_University", "doc_id": 1361, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence, Death_on_a_Factory_Farm", "target": ["Jamie Lawrence composed the music for the movie \"Death on a Factory Farm\", which was produced and directed by Tom Simon.", "The composer of the music created for \u201cDeath on a Factory Farm\u201d was Jamie Lawrence. Tom Simon both produced and directed it.", "Jamie Lawrence wrote the musical score for the film Death on a Factory Farm, which was directed by Tom Simon."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDeath_on_a_Factory_Farm | director | Tom_Simon, Death_on_a_Factory_Farm | producer | Tom_Simon, Death_on_a_Factory_Farm | musicComposer | Jamie_Lawrence", "doc_id": 1589, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentplayer | FC_Amkar_Perm, Aleksandr_Prudnikov | currentplayer | FC_Spartak_Moscow, Aleks", "target": ["Aleksandr Prudnikov was born on 1989-02-24 and plays for FC Amkar Perm. He was also a member of the youth side of FC Spartak Moscow.", "Aleksandr Prudnikov from the FC Amkar Perm club, born 1989-02-24 played for FC Spartak Moscow's youth team.", "Aleksandr Prudnikov, born on 24th February 1989, and whose youth football club was FC Spartak Moscow, currently plays for the FC Amkar Perm football club."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | club | FC_Amkar_Perm, Aleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | youthclub | FC_Spartak_Moscow, Aleksandr_Prudnikov | currentclub | FC_Amkar_Perm", "doc_id": 532, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Mermaid (song) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band) | Train (band)", "target": ["The song Mermaid is by the musical band Train.", "The song Mermaid was written by the band Train.", "The song Mermaid belongs to the musical band Train."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | musicalBand | Train_(band)", "doc_id": 563, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The Mermaid is a song by the Norwegian band The Beatles. It was released as a single in the United Kingdom in December 1963. The song was written by John Lennon and Paul McCartney. It was the first song to be released by the Beatles on their own Apple Records label.\nThe song was recorded in the studio on January 5, 1963, and released on January 6, 1963. It was the first song to be released by the Beatles on their own Apple Records label.\nThe song was written in the style of a traditional folk song, and was inspired by a poem by the Norwegian poet Edvard Grieg.\nThe song was recorded in the studio on January 5, 1963, and released on January 6, 1963. It was the first song to be released by the Beatles on their own Apple Records label.\nThe song was written in the style of a traditional folk song, and was inspired by a poem by the Norwegian poet Edvard Grieg.\nThe song was recorded in the studio on January 5, 1963, and released on January 6, 1963. It was the first song to be released by the Beatles on their own Apple Records label.\nThe song was written in the style of a traditional folk song, and was", "target": ["The Train song Mermaid was written by Amund Bjorklund.", "The Train song Mermaid was written by Amund Bj\u00f8rklund.", "The Train song, Mermaid, was written by Amund Bj\u00f8rklund."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | writer | Amund_Bj\u00f8rklund", "doc_id": 1147, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_constant, Brandon_Carter | knownFor | Carter_", "target": ["Brandon Carter, a specialist in General Relativity, is known for the Carter Constant.", "Brandon Carter is a physicist whose professional field was on General Relativity is known for the invention of the Carter constant.", "Brandon Carter, a professional in the field of general relativity, is known for the Carter constant."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBrandon_Carter | professionalField | General_relativity, Brandon_Carter | knownFor | Carter_constant", "doc_id": 589, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| year of birth | death | film | rating | IMDb | website | twitter | facebook | instagram | youtube | vimeo | google | wikipedia | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | tumblr | t", "target": ["It's Great to Be Young is a 1956 film directed by Cyril Frankel, who was born in the UK.", "Born in the UK, Cyril Frankel directed the movie It's Great to Be Young.", "The United Kingdom born Cyril Frankel directed the 1956 movie It's Great to be Young."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nIt's_Great_to_Be_Young_(1956_film) | director | Cyril_Frankel, Cyril_Frankel | birthPlace | United_Kingdom", "doc_id": 1409, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", China.\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The boy is a boy.\"\nThe sentence is: \"The", "target": ["Zaoyang city is a part of Hubei province.", "Zaoyang is part of Hubei province.", "The city of Zaoyang is part of Hubei province."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nZaoyang | isPartOf | Hubei", "doc_id": 796, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos, Morelos | isPartOf | Morelos", "target": ["Cuernavaca and Ciudad Ayala are parts of Morelos. One of the leaders of Ciudad Ayala is the City Manager.", "Both Ciudad Ayala and Cuernavacas are part of Morelos, and one of the leaders of Ciudad Ayala is the City Manager.", "The leader tittle for Ciudad Ayala is the city manager. Ciudad Ayala and Cuernavaca are part of Morelos."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | leaderTitle | \"City Manager\", Ciudad_Ayala | isPartOf | Morelos, Morelos | isPartOf | Cuernavaca", "doc_id": 640, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Aaron_Turner | instrument | guitar, Aaron_Turner | instrument | bass, Aaron_Turner | instrument | drums, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument | vocals, Aaron_Turner | instrument", "target": ["Aaron Turner a Post metal genre performer, started playing electric guitar in 1995 in the Lotus Eaters band .", "Electric guitarist Aaron Turner began performing in 1995. Turner is a post-metal musician in the band Lotus Eaters."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAaron_Turner | genre | Post-metal, Aaron_Turner | associatedBand/associatedMusicalArtist | Lotus_Eaters_(band), Aaron_Turner | instrument | Electric_guitar, Aaron_Turner | activeYearsStartYear | 1995", "doc_id": 1759, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastedBy | BBC | broadcastBy | broadcastBy | BBC | broadcastedBy | BBC | broadcastBy | broadcastBy | BBC | broadcastBy | broadcastBy", "target": ["John Reith, 1st Baron Reith, founded BBC, which broadcasted Bananaman.", "The BBC, which was founded by 1st Baron, John Reith, broadcasted Bananaman.", "The BBC, which showed Bananaman the TV series, was founded by John Reith, First Baron Reith."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBBC | foundedBy | John_Reith,_1st_Baron_Reith, Bananaman | broadcastedBy | BBC", "doc_id": 860, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", United_States, Abraham_A._Ribicoff | education | University of Connecticut, Abraham_A._Ribicoff | occupation | job | hobbies | interests | favorite movies | favorite books | favorite TV shows | favorite music | favorite sports | favorite books | favorite movies | favorite music | favorite TV shows | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite movies | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite books | favorite music | favorite books | favorite movies | favorite music | favorite", "target": ["Abraham A. Ribicoff (place of birth: Connecticut) is from the United States. His wife is Casey Ribicoff.", "Abraham A.Ribicoff (born in Connecticut) is from the United States. His wife is Casey Ribicoff.", "Abraham A. Ribicoff was born in Connecticut in the USA and is an American citizen. His wife was named Casey Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | Casey_Ribicoff, Abraham_A._Ribicoff | nationality | United_States, Abraham_A._Ribicoff | birthPlace | Connecticut", "doc_id": 1463, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Russia | \"Olga Bondareva\"\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe", "target": ["Olga Bondareva, born \"Olga Nikolaevna Bondareva\" and a student of Leningrad State University, was known for the Bondareva-Shapley theorem.", "Olga Bondareva is known for the Bondareva-Shapley theorem, described by Olga Nikolaevna Bondareva in Leningrad State University.", "Olga Bondareva, birth name Olga Nikolaevna Bondareva, graduated from Leningrad State University. She is known for the Bondareva-Shapley theorem."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | knownFor | Bondareva\u2013Shapley_theorem, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | almaMater | Leningrad_State_University", "doc_id": 100, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "meters | Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | birthPlace | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | German_Empire, German_Empire | currency |", "target": ["Liselotte Grschebina was born 115 meters above sea-level, in Karlsruhe, in the German Empire, where the currency is the German Papiermark.", "Liselotte Grschebina was born within the German Empire in Karlsruhe, which is 115 metres above sea level. The German Papiermark was used in the German Empire as a currency.", "Liselotte Grschebina was born in Karlsruhe which is in the German Empire and is 115 meters above sea level. In the German Empire people used the German Papiermark to buy things."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, German_Empire | currency | German_Papiermark, Liselotte_Grschebina | birthPlace | Karlsruhe, Karlsruhe | elevationAboveTheSeaLevel | 115.0", "doc_id": 577, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_Blast, Crucial_", "target": ["The album Nord was produced and created by the artist Year of No Light and was released by the record label Crucial blast on 06-09-2006.", "The album Nord by Year of No Light was produced by the band and released on September 6, 2006 under the record label, Crucial Blast."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | producer | Year_of_No_Light, Nord_(Year_of_No_Light_album) | artist | Year_of_No_Light, Nord_(Year_of_No_Light_album) | recordLabel | Crucial_Blast", "doc_id": 1638, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| English_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28 | English_Without_Tears | runtime |", "target": ["Nicholas Brodszky composed music of the movie English Without Tears with a running time of 89 minutes and release date was 07-28-1944.", "The 89 minute film, English Without Tears, released on July 1944, was composed by Nicholas Brodszky.", "The music of the 89 minute long film, English Without Tears (released 1944-07-28) is composed by Nicholas Brodszky."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28", "doc_id": 1760, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The_Quine_Tapes | The", "target": ["Bootleg Series Volume 1: The Quine Tapes's genre is rock.", "The album Bootleg Series Volume 1: The Quine Tapes fits into the Rock music genre.", "The Bootleg Series Volume I: The Quine Tapes are Rock music genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nBootleg_Series_Volume_1:_The_Quine_Tapes | genre | Rock_music", "doc_id": 365, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of", "target": ["The Alan B. Miller Hall is located in Williamsburg, Virginia and is owned by The College of William and Mary. The building was designed by Robert A.M. Stern and has the address of 101 Ukrop Way. It is currently tenanted by The Mason School of Business.", "The address of Alan B. Miller Hall is 101 Ukrop Way in Williamsburg, Virginia and the property was designed by Robert A M Stern. The owner of the building is The College of William and Mary and The Mason School of Business are currently based at the Hall and are the current tenants.", "The College of William and Mary is the owner of the Alan B. Miller Hall in 101 Ukrop Way, Williamsburg, Virginia, designed by Robert A M Stern. The Mason School of Business are the current tenants of Alan B Miller Hall."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | architect | Robert_A._M._Stern, Alan_B._Miller_Hall | address | \"101 Ukrop Way\", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | location | Williamsburg,_Virginia, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 175, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| song | youtube.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation", "target": ["The song Mermaid is off the album California 37 by the band Train.", "The Train song Mermaid belongs to the California 37 Train album.", "\"Mermaid\" is a song on Train's \"California 37\" album."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | album | California_37_(Train_album)", "doc_id": 1190, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Theorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural numbers.\nTheorem: The set of all natural numbers is the set of all natural", "target": ["Mathematical optimization is the professional field of Andrzej Piotr Ruszczynski.", "Andrzej Piotr Ruszczy\u0144ski is a professional in the field of mathematical optimization.", "Andrzej Piotr Ruszczy\u0144ski works in the field of mathematical optimization."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAndrzej_Piotr_Ruszczy\u0144ski | professionalField | Mathematical_optimization", "doc_id": 1060, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Inc.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then", "target": ["The song by Train called Mermaid is on the Sony Music Entertainment record label.", "The Train song Mermaid had been released under the record label Sony Music Entertainment.", "Train's hit Mermaid was put out by the Sony Music Entertainment record label."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Sony_Music_Entertainment", "doc_id": 316, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Duration: 3:16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | producer | Espionage, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song", "target": ["The song Mermaid by Train, produced by the Espionage production team under Columbia Records and Sony Music Entertainment, is an example of the reggae genre and is 3 minutes and 16 seconds long. It the song after Imagine sung by John Lennon.", "The Train song Mermaid had been released under the Sony Music Entertainment and Columbia record labels The song lasts 3.16 minutes and is in the reggae genre. It was produced by the Espionage production team and was followed by the band\u2019s cover of the John Lennon song Imagine.", "Mermaid, the song by Train, was released on the Sony Music Entertainment and Columbia Records record labels and was produced by the Espionage production team. It has a total runtime of three minutes and sixteen seconds and is in the reggae music genre. The song\u2018s release was followed by the release of the band\u2019s cover of the John Lennon song Imagine."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMermaid_(Train_song) | recordLabel | Columbia_Records, Mermaid_(Train_song) | recordLabel | Sony_Music_Entertainment, Mermaid_(Train_song) | runtime | 3.16, Mermaid_(Train_song) | genre | Reggae, Mermaid_(Train_song) | followedBy | Imagine_(John_Lennon_song), Mermaid_(Train_song) | producer | Espionage_(production_team)", "doc_id": 535, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| album | album cover | album art | album cover art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art | album art |", "target": ["The Honeymoon killers produced a punk blues album titled Turn Me On.", "The Honeymoon Killers is the producer of the punk-blues album \u2018Turn Me On\u2019.", "The American Band, the Honeymoon Killers, self-produced its album called Turn Me On of the punk blues genre."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Turn_Me_On_(album) | producer | The_Honeymoon_Killers_(American_band)", "doc_id": 1777, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Buick | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM | GM |", "target": ["The Pontiac Rageous was manufactured by Pontiac, which is a successor of Buick.", "The Pontiac Rageous is manufactured by Pontiac, which was succeeded by Buick.", "The Pontiac Rageous is manufactured by Pontiac, which later became Buick."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | manufacturer | Pontiac, Pontiac | successor | Buick", "doc_id": 1598, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No_Light_album | followedBy | Karysun_/_Year_of_No", "target": ["The album Live at Roadburn 2008 was followed by \u201cKarysun / Year of No Light\u201d.", "Year of No Light's \"Live at Roadburn 2008\" album was followed by the \"Karysun/Year of No Light\" EP.", "The Year of No Light album Live at Roadburn 2008 is followed by the album Karysun / Year of No Light."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLive_at_Roadburn_2008_(Year_of_No_Light_album) | followedBy | Karysun_/_Year_of_No_Light", "doc_id": 1024, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grunwald | producer | Anatole_de_Grun", "target": ["The director of the movie English Without Tears was an avid actor since 1920. He goes by the name of Harold French. Editing and producing the movie was done by Alan Jaggs and Anatole de Grunwald respectively.", "Harold French directed and acted in the movie English Without Tears. French began acting in 1920. The movie was edited and produced by Alan Jaggs and Anatole de Grunwald.", "Harold French was an actor by 1920 and directed the film, English Without Tears. Alan Jaggs is the film editor while Anatole de Grunwald is the producer."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | editing | Alan_Jaggs, Harold_French | activeYearsStartYear | 1920-01-01, English_Without_Tears | director | Harold_French, English_Without_Tears | producer | Anatole_de_Grunwald", "doc_id": 1701, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | releaseDate", "target": ["English Without Tears, a film directed by Harold French and composed by Nicholas Brodszky, was released on 07-28-1944. The film length is 89 minutes.", "The 89 minute movie \u00b4English Without Tears\u00b4 was directed by Harold French, and released on 7-28-1944. The songs used throughout the movie were composed by Nicholas Brodszky.", "English Without Tears is a movie directed by Harold French and musically composed by Nicholas Brodszky. It runs for 89 minutes and was released on July 7th, 1944."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEnglish_Without_Tears | runtime | 89.0, English_Without_Tears | musicComposer | Nicholas_Brodszky, English_Without_Tears | releaseDate | 1944-07-28, English_Without_Tears | director | Harold_French", "doc_id": 72, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Live_at_Roadburn_2008", "target": ["Year of No Light followed their album Nord, which was released on 06-09-2006, with the album Live at Roadburn 2008.", "The Year of No Light album Nord which preceded the Live at Roadburn 2008 was released on 2006-09-06."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album)", "doc_id": 572, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| cast | credits | IMDb.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is a list of the books that I have read.\nThe following is a list of the films that I have seen.\nThe following is", "target": ["McVeagh of the South Seas, a film directed by Cyril Bruce, is located in IMdb under ID 0004319.", "McVeagh of the South Seas, directed by Cyril Bruce, is a film registered in IMDb with the ID 0004319.", "The movie McVeagh of the South Seas, directed by Cyril Bruce, has an IMDb id of 0004319."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | director | Cyril_Bruce", "doc_id": 498, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700 | All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700 | All_India_Council_for_Technical_Education | location | Mumbai", "target": ["The Acharya Institute of Technology is in Bangalore (which was founded by Kempe Gowda I); the address of the campus is as follows: Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090. The All India Council for Technical Education, which is located in Mumbai, gave the Acharya Institute of Technology the status of 'Technical Campus'. There are around 700 postgraduate students at the Acharya Institute of Technology, lead by Dr. G.P. Prabhukumar, who is the institute's director.", "The Acharya Institute of Technology is run by its director Dr. G.P. Prabhukumar, it has 700 post graduate students and is based in Bangalore a city founded by Kempe Gowda I. It was granted Technical Campus status by the All India Council for Technical Education which is located in Mumbai. The address for the campus is Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090.", "Acharya Institute of Technology, director Dr. G.P. Prabhukumar, has around 700 postgraduate students. Located in Bangalore, founded by Kempe Gowda I, in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore - 560090, it was given the Technical Campus status by the All India Council for Technical Education, based in Mumbai."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAcharya_Institute_of_Technology | campus | \"In Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore \u2013 560090.\", All_India_Council_for_Technical_Education | location | Mumbai, Acharya_Institute_of_Technology | director | \"Dr. G. P. Prabhukumar\", Bangalore | founder | Kempe_Gowda_I, Acharya_Institute_of_Technology | city | Bangalore, Acharya_Institute_of_Technology | wasGivenTheTechnicalCampusStatusBy | All_India_Council_for_Technical_Education, Acharya_Institute_of_Technology | numberOfPostgraduateStudents | 700", "doc_id": 1492, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) | genre | Noise_pop, Turn_Me_On_(album) |", "target": ["The Turn Me On song is a punk blues song, but the Turn Me On album is of the noise rock genre, which is a fusion of genre of noise pop.", "Punk blues and Noise rock is the genre of the album Turn me On, while Noise pop is a fusion genre, having elements from noise rock.", "Noise pop is a fusion genre that includes elements from, among others, noise rock. An example of noise rock is the punk blues album Turn Me On."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nTurn_Me_On_(album) | genre | Punk_blues, Noise_rock | musicFusionGenre | Noise_pop, Turn_Me_On_(album) | genre | Noise_rock", "doc_id": 1655, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hypermarcas | product | Healthcare, Hyper", "target": ["Hypermarcas, located in Sao Paulo, Brazil, produces pharmaceutical drugs and healthcare products. One of the leaders in Brazil is President of the Supreme Federal Court.", "Although their main product is drugs, Hypermarcas, located in Sao Paulo, Brazil and led by the President of the Supreme Federal Court also sells healthcare products.", "Hypermarcas is a maker of drugs and healthcare products located in S\u00e3o Paulo, Brazil, a country where President of the Supreme Federal Court is a leadership title."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nHypermarcas | location | S\u00e3o_Paulo, Brazil | leaderTitle | \"President of the Supreme Federal Court\", Hypermarcas | location | Brazil, Hypermarcas | product | Drugs, Hypermarcas | product | Healthcare", "doc_id": 685, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["Agremia\u00e7\u00e3o Sportiva Arapiraquense is a 17000-member group that plays in Brazil's Campeonato Brasileiro S\u00e9rie C league. Its stadium, the Estadio Municipal Coaracy da Mata Fonseca, is in Arapiraca.", "Agremia\u00e7\u00e3o Sportiva Arapiraquense has 17000 members and is playing in the Campeonato Brasileiro S\u00e9rie C league from Brazil. Their stadium is the Estadio Municipal Coaracy da Mata Fonseca in Arapiraca."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nEst\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca | location | Arapiraca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | league | Campeonato_Brasileiro_S\u00e9rie_C, Campeonato_Brasileiro_S\u00e9rie_C | country | Brazil, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | numberOfMembers | 17000, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | ground | Est\u00e1dio_Municipal_Coaracy_da_Mata_Fonseca, Agremia\u00e7\u00e3o_Sportiva_Arapiraquense | fullName | \"Agremia\u00e7\u00e3o Sportiva Arapiraquense\"", "doc_id": 1425, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| coach | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team | Russian national team", "target": ["Aleksandr Prudnikov was born on February 24th, 1989, played for FC Terek Grozny, managed by Rashid Rakhimov.", "Aleksandr Prudnikov was born on February 24, 1989. and he is currently in the FC Terek Grozny club which is managed by Rashid Rakhimov.", "Aleksandr Prudnikov was born on February 24, 1989, and plays for FC Terek Grozny which is managed by Rashid Rakhimov."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAleksandr_Prudnikov | birthDate | 1989-02-24, Aleksandr_Prudnikov | club | FC_Terek_Grozny, FC_Terek_Grozny | manager | Rashid_Rakhimov", "doc_id": 461, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | genre | Sludge_metal | releaseDate | 2006-09-06, Nord_(Year_of_No_", "target": ["The Year of No Light's sludge metal album Nord (2006-09-06) was followed by Live at Roadburn 2008.", "The release date of Nord, Year of No Light Album in the sludge metal genre, is 06-09-2006 with their album Live at Roadburn 2008.", "The Year of No Light album Nord in the sludge metal genre, released on September 6, 2006 was followed by Year of No Light's album Live at Roadburn 2008."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nNord_(Year_of_No_Light_album) | releaseDate | 2006-09-06, Nord_(Year_of_No_Light_album) | followedBy | Live_at_Roadburn_2008_(Year_of_No_Light_album), Nord_(Year_of_No_Light_album) | genre | Sludge_metal", "doc_id": 259, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will show the representation and then the natural language. The text needs to include all of the information in the representation.", "target": ["The zip code areas in Darlington are DL1, DL2, DL3.", "The postal codes within Darlington are DL1, DL2, and DL3.", "Darlington's postal codes are as followed: DL1, DL2, and DL3."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nDarlington | postalCode | \"DL1, DL2, DL3\"", "doc_id": 116, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Liselotte_Grschebina | education, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | occupation, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | occupation, Liselotte_Grschebina | hobbies, Liselotte_Grschebina | interests, Liselotte_Grschebina | occupation, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | religion, Liselotte_Grschebina | political views, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_Grschebina | religion, Liselotte_", "target": ["Liselotte Grschebina was a photographer who was born in the German Empire.", "Liselotte Grschebina was a professional photographer who was born in the German Empire.", "Liselotte Grschebina was a professional photographer that was born in the German Empire."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nLiselotte_Grschebina | birthPlace | German_Empire, Liselotte_Grschebina | professionalField | Photographer", "doc_id": 264, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&_pianist) | Brian_Kelly_(composer_&", "target": ["Artist Brian Kelly, who is a composer and pianist, created and produced Expect a Miracle.", "Expect a Miracle was recorded and produced by Brian Kelly.", "Brian Kelly is the author of \"Expect a Miracle\", an album produced by Brian Kelly."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | artist | Brian_Kelly_(composer_&_pianist), Expect_a_Miracle | producer | Brian_Kelly_(composer_&_pianist)", "doc_id": 1629, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_album | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer | The Velvet Underground | producer", "target": ["Squeeze is an album produced by the Velvet Underground.", "The album Squeeze is produced by the Velvet Underground."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSqueeze_(The_Velvet_Underground_album) | producer | The_Velvet_Underground", "doc_id": 1613, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | Fawkham | F", "target": ["MotorSport Vision is located in the city of Fawkham.", "MotorSport Vision is located in the city of Fawkham, UK.", "MotorSport Vision is located in Fawkham."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMotorSport_Vision | city | Fawkham", "doc_id": 2, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "Abraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_N._Dempsey, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_N._Dempsey, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribic", "target": ["Abraham A. Ribicoff was in office while John F. Kennedy was president and his spouse was a woman called Ruth Ribicoff. He was an American citizen and worked as the United States Secretary of Health, Education and Welfare. He was succeeded in office by John N Dempsey.", "Abraham A. Ribicoff was married to Ruth Ribicoff and was in office at the same time as John F. Kennedy was president. He was a citizen of the USA and was succeeded by John N. Dempsey in his office of the United States Secretary of Health, Education, and Welfare.", "American citizen Abraham A. Ribicoff worked for the United States Secretary of Health, Education, and Welfare office during John F. Kennedy\u2019s presidency. He was succeeded in his role by John N. Dempsey and was the husband of Ruth Ribicoff."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAbraham_A._Ribicoff | spouse | \"Ruth Ribicoff\", Abraham_A._Ribicoff | inOfficeWhilePresident | John_F._Kennedy, Abraham_A._Ribicoff | nationality | American, Abraham_A._Ribicoff | successor | John_N._Dempsey, Abraham_A._Ribicoff | office | \"United States Secretary of Health, Education, and Welfare\"", "doc_id": 1462, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone, Ciudad_Ayala | timeZone | Pacific_Standard_Time", "target": ["Ciudad Ayala is in the UTC offset -6 time zone. The Pacific Standard Time Zone, along with Pacific Daylight Time, is the timezone of Ciudad Ayala.", "The UTC offset of Ciudad Ayala is -6, its time zone is Pacific Daylight Time and the Pacific Standard Time Zone.", "Ciudad Ayala with a UTC offset of -6 is located in the Pacific Daylight time zone while in the Pacific Standard Time Zone."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nCiudad_Ayala | utcOffset | \u22126, Ciudad_Ayala | timeZone | Pacific_Daylight_Time, Ciudad_Ayala | timeZone | Pacific_Standard_Time_Zone", "doc_id": 1468, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "m.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information in the representation.\nThe text needs to include all of the information", "target": ["Adolfo Su\u00e1rez Madrid-Barajas Airport has an elevation of 610 metres above sea level and it is operated by ENAIRE which is based in Madrid.", "ENAIRE, which is located in Madrid, is the operating organisation for Adolfo Suarez Madrid-Barajas airport. This airport is situated 610 meters above sea level.", "Madrid\u2019s Adolfo Suarez Madrid-Barajas Airport is 610 meters above sea level and is operated by ENAIRE."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAdolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | operatingOrganisation | ENAIRE, ENAIRE | city | Madrid, Adolfo_Su\u00e1rez_Madrid\u2013Barajas_Airport | elevationAboveTheSeaLevel | 610.0", "doc_id": 988, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "km2.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in Russian.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most common words in English.\nThe following is a list of the most", "target": ["Saint Petersburg has the area of 1439.0 sq/km where Olga Bondareva died.", "Olga Bondareva died in Saint Petersburg, a town which has an area of 1439 km2.", "Olga Bondareva died in Saint Petersburg, a town with the total area of 1439.0."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | deathPlace | Saint_Petersburg, Saint_Petersburg | areaTotal | 1439.0", "doc_id": 134, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary, Alan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan", "target": ["Owned by The College of William and Mary, Alan B. Miller Hall was completed on June 1st, 2009 and hosts tenants including the Mason School of Business.", "The Mason school of business is currently located at Alan B Miller hall which was completed on June 1,2009 and is owned by The College of William and Mary.", "The Mason School of Business is in the Alan B. Miller Hall, which was completed on June 1, 2009 and is owned by The College of William and Mary."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nAlan_B._Miller_Hall | currentTenants | Mason_School_of_Business, Alan_B._Miller_Hall | completionDate | 2009-06-01, Alan_B._Miller_Hall | owner | College_of_William_&_Mary", "doc_id": 667, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state | state", "target": ["Bionico (made with granola) is a food found in Guadalajara in Mexico. The currency in Mexico is the Mexican peso, and the country is inhabited by Mexicans.", "Bionico (made with granola) is a food found in Guadalajara in Mexico. The currency of Mexico is the peso inhabited by Mexicans.", "Bionico is a food found in Mexico, in the Guadalajara area. This dish is made using granola. In Mexico, where the people are known as \u2018Mexicans\u2019, the local currency is the peso."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | currency | Mexican_peso, Mexico | demonym | Mexicans, Bionico | region | Guadalajara, Bionico | ingredient | Granola, Bionico | country | Mexico", "doc_id": 1362, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property | Contributing_property", "target": ["To the northeast of Frederick County, Maryland is Adams County, Pennsylvania, the location of the 11th Mississippi Infantry Monument. The monument is a Contributing Property.", "The 11th Mississippi Infantry Monument, a Contributing property, is located in Adams County, Pennsylvania which northeast to Frederick County, Maryland.", "The 11th Mississippi Infantry Monument (categorised as a contributing property) is located in Adams County, Pennsylvania and Frederick County Maryland is in southwest ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n11th_Mississippi_Infantry_Monument | location | Adams_County,_Pennsylvania, Adams_County,_Pennsylvania | hasToItsSouthwest | Frederick_County,_Maryland, 11th_Mississippi_Infantry_Monument | category | Contributing_property", "doc_id": 391, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga_Bondareva | professionalField | Mathematics, Olga", "target": ["Olga Bondareva (born \"Olga Nikolaevna Bondareva\" in Leningrad, USSR) worked in the professional fields of economics and mathematics and died December 9, 1991.", "Olga Bondareva, originally born to Leningrad of the USSR with the name Olga Nikolaevna Bondareva, is an economist and one of the known professionals in the field of mathematics who died on the 9th of December, 1991.", "Olga Bondareva, born in Leningrad, USSR as \"Olga Nikolaevna Bondareva\", worked in the fields of Mathematics and Economics before the date of her death on the ninth of December 1991."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nOlga_Bondareva | birthPlace | Leningrad,_USSR, Olga_Bondareva | birthName | \"Olga Nikolaevna Bondareva\", Olga_Bondareva | deathDate | 1991-12-09, Olga_Bondareva | professionalField | Economics, Olga_Bondareva | professionalField | Mathematics", "doc_id": 543, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Pontiac_Rageous | assembly | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous | production | Michigan, Pontiac_Rageous |", "target": ["The Pontiac Rageous assembled in Michigan with assembly line in Detroit was last produced in 1997.", "Ending its production in 1997, the Pontiac Rageous was assembled in Detroit, Michigan.", "Ending in 1997, the Pontiac Rageous was assembled in Detroit, Michigan."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | assembly | Michigan, Pontiac_Rageous | assembly | Detroit, Pontiac_Rageous | productionEndYear | 1997", "doc_id": 70, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", Pontiac | productionStartYear | 1998, Pontiac | successor | GM, Pontiac | productionStartYear | 1999, Pontiac | successor | GM, Pontiac | productionStartYear | 2000, Pontiac | successor | GM, Pontiac | productionStartYear | 2001, Pontiac | successor | GM, Pontiac | productionStartYear | 2002, Pontiac | successor | GM, Pontiac | productionStartYear | 2003, Pontiac | successor | GM, Pontiac | productionStartYear | 2004, Pontiac | successor | GM, Pontiac | productionStartYear | 2005, Pontiac | successor | GM, Pontiac | productionStartYear | 2006, Pontiac | successor | GM, Pontiac | productionStartYear | 2007, Pontiac | successor | GM, Pontiac | productionStartYear | 2008, Pontiac | successor | GM, Pontiac | productionStartYear | 2009, Pontiac | successor | GM, Pontiac | productionStartYear | 2010, Pontiac | successor | GM, Pontiac | productionStartYear | 2011, Pontiac | successor | GM, Pontiac | productionStartYear | 2012, Pontiac | successor | GM, Pontiac | productionStartYear | 2013,", "target": ["The Pontiac Rageous was a car that went into production in 1997 and was manufactured by Pontiac. Pontiac was founded in the United States, and one of the successors of Pontiac is Buick.", "The Pontiac Rageous is manufactured by Pontiac and was first produced in 1997. Pontiac was first founded in the United States and the successor to Pontiac is Buick.", "The Pontiac Rageous, which was first made in 1997, was manufactured by Pontiac in the USA, which was then succeeded by Buick."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nPontiac_Rageous | manufacturer | Pontiac, Pontiac | foundationPlace | United_States, Pontiac_Rageous | productionStartYear | 1997, Pontiac | successor | Buick", "doc_id": 1668, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor | Actor", "target": ["Tom Sizemore, who is an actor, stars in Super Capers.", "The movie, Super Capers, features Tom Sizemore who is an actor.", "The movie Super Capers stars the actor Tom Sizemore."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nSuper_Capers | starring | Tom_Sizemore, Tom_Sizemore | occupation | Actor", "doc_id": 1618, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 9400, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 16800, University_of_Burgundy | numberOfUnder", "target": ["There are 16800 undergraduate with 9400 post-graduate students at the University of Burgundy.", "The University of Burgundy has 16800 undergraduate students compared to 9400 postgraduate students.", "The University of Burgundy has 16,800 undergraduate and 9400 postgraduate students."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nUniversity_of_Burgundy | numberOfUndergraduateStudents | 16800, University_of_Burgundy | numberOfPostgraduateStudents | 9400", "doc_id": 1678, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": ", England, U.K.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence is a sentence in natural language.\nThe sentence", "target": ["Max Benedict died in London.", "The death place of Max Benedict was London."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMax_Benedict | deathPlace | London", "doc_id": 1404, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Zuarth_1.jpg | Roberto_Gil_Z", "target": ["The leader of Mexico is Roberto Gil Zuarth.", "One of the leaders of the country of Mexico is Roberto Gil Zuarth.", "One of the leaders of Mexico is Roberto Gil Zuarth ."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | leader | Roberto_Gil_Zuarth", "doc_id": 1204, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_Album, Compilation_", "target": ["Brain Kelly's Expect a Miracle was a compilation album that was preceded by Pools of Light and followed by Afterplay.", "Expect a Miracle is a compilation album, preceded by Pools of Light by Brian Kelly which is followed by the album Afterplay.", "Expect a Miracle is a compilation album by Brian Kelly and came after the album Pools of Light, and before the album titled Afterplay."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nExpect_a_Miracle | type | Compilation_Album, Expect_a_Miracle | precededBy | Pools_of_Light_(Brian_Kelly_album), Expect_a_Miracle | followedBy | Afterplay_(Brian_Kelly_album)", "doc_id": 503, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "| The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_Picture_Company | The_Progressive_Motion_", "target": ["Harry Carey wrote and acted in the movie, McVeagh of the South Seas. He was born in 1878. The ID of the movie in the IMDb is under 0004319 and it\u2019s produced by Progressive Motion Picture Company.", "Harry Carey was born in 1878 and starred in the movie, McVeagh of the South Seas. He wrote it as well and according to IMDb its ID is 0004319. The movie was produced by Progressive Motion Picture Company.", "McVeagh of the South Seas is in the IMDb under the Id 0004319. The film stars the director Harry Carey who is a main protagonist. He was born in 1878 and the movie itself became distributed under Progressive Motion Picture Company."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMcVeagh_of_the_South_Seas | imdbId | 0004319, McVeagh_of_the_South_Seas | starring | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | writer | Harry_Carey_(actor_born_1878), McVeagh_of_the_South_Seas | producer | The_Progressive_Motion_Picture_Company", "doc_id": 1153, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}
{"pred": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\nI will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language", "target": ["The leader title in Mexico is the President of the Senate.", "Mexico's government has a position titled the \"President of the Senate\".", "Mexico's leader has the official title President of the Senate."], "answer_choices_list": null, "fewshot_idx": [], "fewshot_target_idx": [], "fewshot_source": null, "fewshot_num": 0, "ctx": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\nMexico | leaderTitle | \"President of the Senate\"", "doc_id": 954, "fixed_answer_choice_list": null, "dataset_path": "GEM/web_nlg", "dataset_name": "en", "subset": null, "prompt_name": "PALM_prompt", "prompt_id": "3e41305c-5461-4cf3-853d-8a6fb5747623", "prompt_jinja": "I will verbalize an abstract representation of a sentence in natural language. To do so, I will first show the representation and then the natural language. The text needs to include all of the information in the representation.\n\n{{input | join(\", \")}} {% for i in references %}\n  ||| {{ i }} \n{% endfor %}", "prompt_original_task": true, "comment": ""}