| datasets=[ | |
| dict(abbr='siqa', | |
| eval_cfg=dict( | |
| evaluator=dict( | |
| type='opencompass.openicl.icl_evaluator.EDAccEvaluator'), | |
| pred_role='BOT'), | |
| infer_cfg=dict( | |
| inferencer=dict( | |
| type='opencompass.openicl.icl_inferencer.GenInferencer'), | |
| prompt_template=dict( | |
| template=dict( | |
| round=[ | |
| dict(prompt='{context}\nQuestion: {question}\nA. {answerA}\nB. {answerB}\nC. {answerC}\nAnswer:', | |
| role='HUMAN'), | |
| ]), | |
| type='opencompass.openicl.icl_prompt_template.PromptTemplate'), | |
| retriever=dict( | |
| type='opencompass.openicl.icl_retriever.ZeroRetriever')), | |
| path='./data/siqa', | |
| reader_cfg=dict( | |
| input_columns=[ | |
| 'context', | |
| 'question', | |
| 'answerA', | |
| 'answerB', | |
| 'answerC', | |
| ], | |
| output_column='all_labels', | |
| test_split='validation'), | |
| type='opencompass.datasets.siqaDataset_V2'), | |
| ] | |
| models=[ | |
| dict(abbr='baichuan2-7b-chat-hf', | |
| batch_size=8, | |
| max_out_len=100, | |
| max_seq_len=2048, | |
| meta_template=dict( | |
| round=[ | |
| dict(begin='<reserved_106>', | |
| role='HUMAN'), | |
| dict(begin='<reserved_107>', | |
| generate=True, | |
| role='BOT'), | |
| ]), | |
| model_kwargs=dict( | |
| device_map='auto', | |
| trust_remote_code=True), | |
| path='/export/home/tanwentao1/data/Baichuan2-7B-Chat/', | |
| run_cfg=dict( | |
| num_gpus=1, | |
| num_procs=1), | |
| tokenizer_kwargs=dict( | |
| padding_side='left', | |
| truncation_side='left', | |
| trust_remote_code=True, | |
| use_fast=False), | |
| tokenizer_path='/export/home/tanwentao1/data/Baichuan2-7B-Chat/', | |
| type='opencompass.models.HuggingFaceCausalLM'), | |
| ] | |
| summarizer=dict( | |
| summary_groups=[ | |
| dict(name='agieval-chinese', | |
| subsets=[ | |
| 'agieval-gaokao-chinese', | |
| 'agieval-gaokao-english', | |
| 'agieval-gaokao-geography', | |
| 'agieval-gaokao-history', | |
| 'agieval-gaokao-biology', | |
| 'agieval-gaokao-chemistry', | |
| 'agieval-gaokao-physics', | |
| 'agieval-gaokao-mathqa', | |
| 'agieval-logiqa-zh', | |
| 'agieval-jec-qa-kd', | |
| 'agieval-jec-qa-ca', | |
| 'agieval-gaokao-mathcloze', | |
| ]), | |
| dict(name='agieval-english', | |
| subsets=[ | |
| 'agieval-lsat-ar', | |
| 'agieval-lsat-lr', | |
| 'agieval-lsat-rc', | |
| 'agieval-logiqa-en', | |
| 'agieval-sat-math', | |
| 'agieval-sat-en', | |
| 'agieval-sat-en-without-passage', | |
| 'agieval-aqua-rat', | |
| 'agieval-math', | |
| ]), | |
| dict(name='agieval-gaokao', | |
| subsets=[ | |
| 'agieval-gaokao-chinese', | |
| 'agieval-gaokao-english', | |
| 'agieval-gaokao-geography', | |
| 'agieval-gaokao-history', | |
| 'agieval-gaokao-biology', | |
| 'agieval-gaokao-chemistry', | |
| 'agieval-gaokao-physics', | |
| 'agieval-gaokao-mathqa', | |
| 'agieval-gaokao-mathcloze', | |
| ]), | |
| dict(name='agieval', | |
| subsets=[ | |
| 'agieval-gaokao-chinese', | |
| 'agieval-gaokao-english', | |
| 'agieval-gaokao-geography', | |
| 'agieval-gaokao-history', | |
| 'agieval-gaokao-biology', | |
| 'agieval-gaokao-chemistry', | |
| 'agieval-gaokao-physics', | |
| 'agieval-gaokao-mathqa', | |
| 'agieval-logiqa-zh', | |
| 'agieval-lsat-ar', | |
| 'agieval-lsat-lr', | |
| 'agieval-lsat-rc', | |
| 'agieval-logiqa-en', | |
| 'agieval-sat-math', | |
| 'agieval-sat-en', | |
| 'agieval-sat-en-without-passage', | |
| 'agieval-aqua-rat', | |
| 'agieval-jec-qa-kd', | |
| 'agieval-jec-qa-ca', | |
| 'agieval-gaokao-mathcloze', | |
| 'agieval-math', | |
| ]), | |
| dict(name='mmlu-humanities', | |
| subsets=[ | |
| 'lukaemon_mmlu_formal_logic', | |
| 'lukaemon_mmlu_high_school_european_history', | |
| 'lukaemon_mmlu_high_school_us_history', | |
| 'lukaemon_mmlu_high_school_world_history', | |
| 'lukaemon_mmlu_international_law', | |
| 'lukaemon_mmlu_jurisprudence', | |
| 'lukaemon_mmlu_logical_fallacies', | |
| 'lukaemon_mmlu_moral_disputes', | |
| 'lukaemon_mmlu_moral_scenarios', | |
| 'lukaemon_mmlu_philosophy', | |
| 'lukaemon_mmlu_prehistory', | |
| 'lukaemon_mmlu_professional_law', | |
| 'lukaemon_mmlu_world_religions', | |
| ]), | |
| dict(name='mmlu-stem', | |
| subsets=[ | |
| 'lukaemon_mmlu_abstract_algebra', | |
| 'lukaemon_mmlu_anatomy', | |
| 'lukaemon_mmlu_astronomy', | |
| 'lukaemon_mmlu_college_biology', | |
| 'lukaemon_mmlu_college_chemistry', | |
| 'lukaemon_mmlu_college_computer_science', | |
| 'lukaemon_mmlu_college_mathematics', | |
| 'lukaemon_mmlu_college_physics', | |
| 'lukaemon_mmlu_computer_security', | |
| 'lukaemon_mmlu_conceptual_physics', | |
| 'lukaemon_mmlu_electrical_engineering', | |
| 'lukaemon_mmlu_elementary_mathematics', | |
| 'lukaemon_mmlu_high_school_biology', | |
| 'lukaemon_mmlu_high_school_chemistry', | |
| 'lukaemon_mmlu_high_school_computer_science', | |
| 'lukaemon_mmlu_high_school_mathematics', | |
| 'lukaemon_mmlu_high_school_physics', | |
| 'lukaemon_mmlu_high_school_statistics', | |
| 'lukaemon_mmlu_machine_learning', | |
| ]), | |
| dict(name='mmlu-social-science', | |
| subsets=[ | |
| 'lukaemon_mmlu_econometrics', | |
| 'lukaemon_mmlu_high_school_geography', | |
| 'lukaemon_mmlu_high_school_government_and_politics', | |
| 'lukaemon_mmlu_high_school_macroeconomics', | |
| 'lukaemon_mmlu_high_school_microeconomics', | |
| 'lukaemon_mmlu_high_school_psychology', | |
| 'lukaemon_mmlu_human_sexuality', | |
| 'lukaemon_mmlu_professional_psychology', | |
| 'lukaemon_mmlu_public_relations', | |
| 'lukaemon_mmlu_security_studies', | |
| 'lukaemon_mmlu_sociology', | |
| 'lukaemon_mmlu_us_foreign_policy', | |
| ]), | |
| dict(name='mmlu-other', | |
| subsets=[ | |
| 'lukaemon_mmlu_business_ethics', | |
| 'lukaemon_mmlu_clinical_knowledge', | |
| 'lukaemon_mmlu_college_medicine', | |
| 'lukaemon_mmlu_global_facts', | |
| 'lukaemon_mmlu_human_aging', | |
| 'lukaemon_mmlu_management', | |
| 'lukaemon_mmlu_marketing', | |
| 'lukaemon_mmlu_medical_genetics', | |
| 'lukaemon_mmlu_miscellaneous', | |
| 'lukaemon_mmlu_nutrition', | |
| 'lukaemon_mmlu_professional_accounting', | |
| 'lukaemon_mmlu_professional_medicine', | |
| 'lukaemon_mmlu_virology', | |
| ]), | |
| dict(name='mmlu', | |
| subsets=[ | |
| 'lukaemon_mmlu_formal_logic', | |
| 'lukaemon_mmlu_high_school_european_history', | |
| 'lukaemon_mmlu_high_school_us_history', | |
| 'lukaemon_mmlu_high_school_world_history', | |
| 'lukaemon_mmlu_international_law', | |
| 'lukaemon_mmlu_jurisprudence', | |
| 'lukaemon_mmlu_logical_fallacies', | |
| 'lukaemon_mmlu_moral_disputes', | |
| 'lukaemon_mmlu_moral_scenarios', | |
| 'lukaemon_mmlu_philosophy', | |
| 'lukaemon_mmlu_prehistory', | |
| 'lukaemon_mmlu_professional_law', | |
| 'lukaemon_mmlu_world_religions', | |
| 'lukaemon_mmlu_abstract_algebra', | |
| 'lukaemon_mmlu_anatomy', | |
| 'lukaemon_mmlu_astronomy', | |
| 'lukaemon_mmlu_college_biology', | |
| 'lukaemon_mmlu_college_chemistry', | |
| 'lukaemon_mmlu_college_computer_science', | |
| 'lukaemon_mmlu_college_mathematics', | |
| 'lukaemon_mmlu_college_physics', | |
| 'lukaemon_mmlu_computer_security', | |
| 'lukaemon_mmlu_conceptual_physics', | |
| 'lukaemon_mmlu_electrical_engineering', | |
| 'lukaemon_mmlu_elementary_mathematics', | |
| 'lukaemon_mmlu_high_school_biology', | |
| 'lukaemon_mmlu_high_school_chemistry', | |
| 'lukaemon_mmlu_high_school_computer_science', | |
| 'lukaemon_mmlu_high_school_mathematics', | |
| 'lukaemon_mmlu_high_school_physics', | |
| 'lukaemon_mmlu_high_school_statistics', | |
| 'lukaemon_mmlu_machine_learning', | |
| 'lukaemon_mmlu_econometrics', | |
| 'lukaemon_mmlu_high_school_geography', | |
| 'lukaemon_mmlu_high_school_government_and_politics', | |
| 'lukaemon_mmlu_high_school_macroeconomics', | |
| 'lukaemon_mmlu_high_school_microeconomics', | |
| 'lukaemon_mmlu_high_school_psychology', | |
| 'lukaemon_mmlu_human_sexuality', | |
| 'lukaemon_mmlu_professional_psychology', | |
| 'lukaemon_mmlu_public_relations', | |
| 'lukaemon_mmlu_security_studies', | |
| 'lukaemon_mmlu_sociology', | |
| 'lukaemon_mmlu_us_foreign_policy', | |
| 'lukaemon_mmlu_business_ethics', | |
| 'lukaemon_mmlu_clinical_knowledge', | |
| 'lukaemon_mmlu_college_medicine', | |
| 'lukaemon_mmlu_global_facts', | |
| 'lukaemon_mmlu_human_aging', | |
| 'lukaemon_mmlu_management', | |
| 'lukaemon_mmlu_marketing', | |
| 'lukaemon_mmlu_medical_genetics', | |
| 'lukaemon_mmlu_miscellaneous', | |
| 'lukaemon_mmlu_nutrition', | |
| 'lukaemon_mmlu_professional_accounting', | |
| 'lukaemon_mmlu_professional_medicine', | |
| 'lukaemon_mmlu_virology', | |
| ]), | |
| dict(name='mmlu-weighted', | |
| subsets=[ | |
| 'lukaemon_mmlu_formal_logic', | |
| 'lukaemon_mmlu_high_school_european_history', | |
| 'lukaemon_mmlu_high_school_us_history', | |
| 'lukaemon_mmlu_high_school_world_history', | |
| 'lukaemon_mmlu_international_law', | |
| 'lukaemon_mmlu_jurisprudence', | |
| 'lukaemon_mmlu_logical_fallacies', | |
| 'lukaemon_mmlu_moral_disputes', | |
| 'lukaemon_mmlu_moral_scenarios', | |
| 'lukaemon_mmlu_philosophy', | |
| 'lukaemon_mmlu_prehistory', | |
| 'lukaemon_mmlu_professional_law', | |
| 'lukaemon_mmlu_world_religions', | |
| 'lukaemon_mmlu_abstract_algebra', | |
| 'lukaemon_mmlu_anatomy', | |
| 'lukaemon_mmlu_astronomy', | |
| 'lukaemon_mmlu_college_biology', | |
| 'lukaemon_mmlu_college_chemistry', | |
| 'lukaemon_mmlu_college_computer_science', | |
| 'lukaemon_mmlu_college_mathematics', | |
| 'lukaemon_mmlu_college_physics', | |
| 'lukaemon_mmlu_computer_security', | |
| 'lukaemon_mmlu_conceptual_physics', | |
| 'lukaemon_mmlu_electrical_engineering', | |
| 'lukaemon_mmlu_elementary_mathematics', | |
| 'lukaemon_mmlu_high_school_biology', | |
| 'lukaemon_mmlu_high_school_chemistry', | |
| 'lukaemon_mmlu_high_school_computer_science', | |
| 'lukaemon_mmlu_high_school_mathematics', | |
| 'lukaemon_mmlu_high_school_physics', | |
| 'lukaemon_mmlu_high_school_statistics', | |
| 'lukaemon_mmlu_machine_learning', | |
| 'lukaemon_mmlu_econometrics', | |
| 'lukaemon_mmlu_high_school_geography', | |
| 'lukaemon_mmlu_high_school_government_and_politics', | |
| 'lukaemon_mmlu_high_school_macroeconomics', | |
| 'lukaemon_mmlu_high_school_microeconomics', | |
| 'lukaemon_mmlu_high_school_psychology', | |
| 'lukaemon_mmlu_human_sexuality', | |
| 'lukaemon_mmlu_professional_psychology', | |
| 'lukaemon_mmlu_public_relations', | |
| 'lukaemon_mmlu_security_studies', | |
| 'lukaemon_mmlu_sociology', | |
| 'lukaemon_mmlu_us_foreign_policy', | |
| 'lukaemon_mmlu_business_ethics', | |
| 'lukaemon_mmlu_clinical_knowledge', | |
| 'lukaemon_mmlu_college_medicine', | |
| 'lukaemon_mmlu_global_facts', | |
| 'lukaemon_mmlu_human_aging', | |
| 'lukaemon_mmlu_management', | |
| 'lukaemon_mmlu_marketing', | |
| 'lukaemon_mmlu_medical_genetics', | |
| 'lukaemon_mmlu_miscellaneous', | |
| 'lukaemon_mmlu_nutrition', | |
| 'lukaemon_mmlu_professional_accounting', | |
| 'lukaemon_mmlu_professional_medicine', | |
| 'lukaemon_mmlu_virology', | |
| ], | |
| weights=dict( | |
| lukaemon_mmlu_abstract_algebra=100, | |
| lukaemon_mmlu_anatomy=135, | |
| lukaemon_mmlu_astronomy=152, | |
| lukaemon_mmlu_business_ethics=100, | |
| lukaemon_mmlu_clinical_knowledge=265, | |
| lukaemon_mmlu_college_biology=144, | |
| lukaemon_mmlu_college_chemistry=100, | |
| lukaemon_mmlu_college_computer_science=100, | |
| lukaemon_mmlu_college_mathematics=100, | |
| lukaemon_mmlu_college_medicine=173, | |
| lukaemon_mmlu_college_physics=102, | |
| lukaemon_mmlu_computer_security=100, | |
| lukaemon_mmlu_conceptual_physics=235, | |
| lukaemon_mmlu_econometrics=114, | |
| lukaemon_mmlu_electrical_engineering=145, | |
| lukaemon_mmlu_elementary_mathematics=378, | |
| lukaemon_mmlu_formal_logic=126, | |
| lukaemon_mmlu_global_facts=100, | |
| lukaemon_mmlu_high_school_biology=310, | |
| lukaemon_mmlu_high_school_chemistry=203, | |
| lukaemon_mmlu_high_school_computer_science=100, | |
| lukaemon_mmlu_high_school_european_history=165, | |
| lukaemon_mmlu_high_school_geography=198, | |
| lukaemon_mmlu_high_school_government_and_politics=193, | |
| lukaemon_mmlu_high_school_macroeconomics=390, | |
| lukaemon_mmlu_high_school_mathematics=270, | |
| lukaemon_mmlu_high_school_microeconomics=238, | |
| lukaemon_mmlu_high_school_physics=151, | |
| lukaemon_mmlu_high_school_psychology=545, | |
| lukaemon_mmlu_high_school_statistics=216, | |
| lukaemon_mmlu_high_school_us_history=204, | |
| lukaemon_mmlu_high_school_world_history=237, | |
| lukaemon_mmlu_human_aging=223, | |
| lukaemon_mmlu_human_sexuality=131, | |
| lukaemon_mmlu_international_law=121, | |
| lukaemon_mmlu_jurisprudence=108, | |
| lukaemon_mmlu_logical_fallacies=163, | |
| lukaemon_mmlu_machine_learning=112, | |
| lukaemon_mmlu_management=103, | |
| lukaemon_mmlu_marketing=234, | |
| lukaemon_mmlu_medical_genetics=100, | |
| lukaemon_mmlu_miscellaneous=783, | |
| lukaemon_mmlu_moral_disputes=346, | |
| lukaemon_mmlu_moral_scenarios=895, | |
| lukaemon_mmlu_nutrition=306, | |
| lukaemon_mmlu_philosophy=311, | |
| lukaemon_mmlu_prehistory=324, | |
| lukaemon_mmlu_professional_accounting=282, | |
| lukaemon_mmlu_professional_law=1534, | |
| lukaemon_mmlu_professional_medicine=272, | |
| lukaemon_mmlu_professional_psychology=612, | |
| lukaemon_mmlu_public_relations=110, | |
| lukaemon_mmlu_security_studies=245, | |
| lukaemon_mmlu_sociology=201, | |
| lukaemon_mmlu_us_foreign_policy=100, | |
| lukaemon_mmlu_virology=166, | |
| lukaemon_mmlu_world_religions=171)), | |
| dict(name='cmmlu-humanities', | |
| subsets=[ | |
| 'cmmlu-arts', | |
| 'cmmlu-chinese_history', | |
| 'cmmlu-chinese_literature', | |
| 'cmmlu-college_law', | |
| 'cmmlu-global_facts', | |
| 'cmmlu-international_law', | |
| 'cmmlu-jurisprudence', | |
| 'cmmlu-logical', | |
| 'cmmlu-marxist_theory', | |
| 'cmmlu-philosophy', | |
| 'cmmlu-professional_law', | |
| 'cmmlu-world_history', | |
| 'cmmlu-world_religions', | |
| ]), | |
| dict(name='cmmlu-stem', | |
| subsets=[ | |
| 'cmmlu-anatomy', | |
| 'cmmlu-astronomy', | |
| 'cmmlu-college_actuarial_science', | |
| 'cmmlu-college_engineering_hydrology', | |
| 'cmmlu-college_mathematics', | |
| 'cmmlu-college_medical_statistics', | |
| 'cmmlu-computer_science', | |
| 'cmmlu-conceptual_physics', | |
| 'cmmlu-electrical_engineering', | |
| 'cmmlu-elementary_mathematics', | |
| 'cmmlu-genetics', | |
| 'cmmlu-high_school_biology', | |
| 'cmmlu-high_school_chemistry', | |
| 'cmmlu-high_school_mathematics', | |
| 'cmmlu-high_school_physics', | |
| 'cmmlu-machine_learning', | |
| 'cmmlu-virology', | |
| ]), | |
| dict(name='cmmlu-social-science', | |
| subsets=[ | |
| 'cmmlu-ancient_chinese', | |
| 'cmmlu-business_ethics', | |
| 'cmmlu-chinese_civil_service_exam', | |
| 'cmmlu-chinese_food_culture', | |
| 'cmmlu-chinese_foreign_policy', | |
| 'cmmlu-chinese_teacher_qualification', | |
| 'cmmlu-college_education', | |
| 'cmmlu-economics', | |
| 'cmmlu-education', | |
| 'cmmlu-elementary_chinese', | |
| 'cmmlu-ethnology', | |
| 'cmmlu-high_school_geography', | |
| 'cmmlu-high_school_politics', | |
| 'cmmlu-journalism', | |
| 'cmmlu-management', | |
| 'cmmlu-marketing', | |
| 'cmmlu-modern_chinese', | |
| 'cmmlu-professional_accounting', | |
| 'cmmlu-professional_psychology', | |
| 'cmmlu-public_relations', | |
| 'cmmlu-security_study', | |
| 'cmmlu-sociology', | |
| ]), | |
| dict(name='cmmlu-other', | |
| subsets=[ | |
| 'cmmlu-agronomy', | |
| 'cmmlu-chinese_driving_rule', | |
| 'cmmlu-clinical_knowledge', | |
| 'cmmlu-college_medicine', | |
| 'cmmlu-computer_security', | |
| 'cmmlu-construction_project_management', | |
| 'cmmlu-elementary_commonsense', | |
| 'cmmlu-elementary_information_and_technology', | |
| 'cmmlu-food_science', | |
| 'cmmlu-human_sexuality', | |
| 'cmmlu-legal_and_moral_basis', | |
| 'cmmlu-nutrition', | |
| 'cmmlu-professional_medicine', | |
| 'cmmlu-sports_science', | |
| 'cmmlu-traditional_chinese_medicine', | |
| ]), | |
| dict(name='cmmlu-china-specific', | |
| subsets=[ | |
| 'cmmlu-ancient_chinese', | |
| 'cmmlu-chinese_civil_service_exam', | |
| 'cmmlu-chinese_driving_rule', | |
| 'cmmlu-chinese_food_culture', | |
| 'cmmlu-chinese_foreign_policy', | |
| 'cmmlu-chinese_history', | |
| 'cmmlu-chinese_literature', | |
| 'cmmlu-chinese_teacher_qualification', | |
| 'cmmlu-construction_project_management', | |
| 'cmmlu-elementary_chinese', | |
| 'cmmlu-elementary_commonsense', | |
| 'cmmlu-ethnology', | |
| 'cmmlu-high_school_politics', | |
| 'cmmlu-modern_chinese', | |
| 'cmmlu-traditional_chinese_medicine', | |
| ]), | |
| dict(name='cmmlu', | |
| subsets=[ | |
| 'cmmlu-agronomy', | |
| 'cmmlu-anatomy', | |
| 'cmmlu-ancient_chinese', | |
| 'cmmlu-arts', | |
| 'cmmlu-astronomy', | |
| 'cmmlu-business_ethics', | |
| 'cmmlu-chinese_civil_service_exam', | |
| 'cmmlu-chinese_driving_rule', | |
| 'cmmlu-chinese_food_culture', | |
| 'cmmlu-chinese_foreign_policy', | |
| 'cmmlu-chinese_history', | |
| 'cmmlu-chinese_literature', | |
| 'cmmlu-chinese_teacher_qualification', | |
| 'cmmlu-college_actuarial_science', | |
| 'cmmlu-college_education', | |
| 'cmmlu-college_engineering_hydrology', | |
| 'cmmlu-college_law', | |
| 'cmmlu-college_mathematics', | |
| 'cmmlu-college_medical_statistics', | |
| 'cmmlu-clinical_knowledge', | |
| 'cmmlu-college_medicine', | |
| 'cmmlu-computer_science', | |
| 'cmmlu-computer_security', | |
| 'cmmlu-conceptual_physics', | |
| 'cmmlu-construction_project_management', | |
| 'cmmlu-economics', | |
| 'cmmlu-education', | |
| 'cmmlu-elementary_chinese', | |
| 'cmmlu-elementary_commonsense', | |
| 'cmmlu-elementary_information_and_technology', | |
| 'cmmlu-electrical_engineering', | |
| 'cmmlu-elementary_mathematics', | |
| 'cmmlu-ethnology', | |
| 'cmmlu-food_science', | |
| 'cmmlu-genetics', | |
| 'cmmlu-global_facts', | |
| 'cmmlu-high_school_biology', | |
| 'cmmlu-high_school_chemistry', | |
| 'cmmlu-high_school_geography', | |
| 'cmmlu-high_school_mathematics', | |
| 'cmmlu-high_school_physics', | |
| 'cmmlu-high_school_politics', | |
| 'cmmlu-human_sexuality', | |
| 'cmmlu-international_law', | |
| 'cmmlu-journalism', | |
| 'cmmlu-jurisprudence', | |
| 'cmmlu-legal_and_moral_basis', | |
| 'cmmlu-logical', | |
| 'cmmlu-machine_learning', | |
| 'cmmlu-management', | |
| 'cmmlu-marketing', | |
| 'cmmlu-marxist_theory', | |
| 'cmmlu-modern_chinese', | |
| 'cmmlu-nutrition', | |
| 'cmmlu-philosophy', | |
| 'cmmlu-professional_accounting', | |
| 'cmmlu-professional_law', | |
| 'cmmlu-professional_medicine', | |
| 'cmmlu-professional_psychology', | |
| 'cmmlu-public_relations', | |
| 'cmmlu-security_study', | |
| 'cmmlu-sociology', | |
| 'cmmlu-sports_science', | |
| 'cmmlu-traditional_chinese_medicine', | |
| 'cmmlu-virology', | |
| 'cmmlu-world_history', | |
| 'cmmlu-world_religions', | |
| ]), | |
| dict(name='ceval-stem', | |
| subsets=[ | |
| 'ceval-computer_network', | |
| 'ceval-operating_system', | |
| 'ceval-computer_architecture', | |
| 'ceval-college_programming', | |
| 'ceval-college_physics', | |
| 'ceval-college_chemistry', | |
| 'ceval-advanced_mathematics', | |
| 'ceval-probability_and_statistics', | |
| 'ceval-discrete_mathematics', | |
| 'ceval-electrical_engineer', | |
| 'ceval-metrology_engineer', | |
| 'ceval-high_school_mathematics', | |
| 'ceval-high_school_physics', | |
| 'ceval-high_school_chemistry', | |
| 'ceval-high_school_biology', | |
| 'ceval-middle_school_mathematics', | |
| 'ceval-middle_school_biology', | |
| 'ceval-middle_school_physics', | |
| 'ceval-middle_school_chemistry', | |
| 'ceval-veterinary_medicine', | |
| ]), | |
| dict(name='ceval-social-science', | |
| subsets=[ | |
| 'ceval-college_economics', | |
| 'ceval-business_administration', | |
| 'ceval-marxism', | |
| 'ceval-mao_zedong_thought', | |
| 'ceval-education_science', | |
| 'ceval-teacher_qualification', | |
| 'ceval-high_school_politics', | |
| 'ceval-high_school_geography', | |
| 'ceval-middle_school_politics', | |
| 'ceval-middle_school_geography', | |
| ]), | |
| dict(name='ceval-humanities', | |
| subsets=[ | |
| 'ceval-modern_chinese_history', | |
| 'ceval-ideological_and_moral_cultivation', | |
| 'ceval-logic', | |
| 'ceval-law', | |
| 'ceval-chinese_language_and_literature', | |
| 'ceval-art_studies', | |
| 'ceval-professional_tour_guide', | |
| 'ceval-legal_professional', | |
| 'ceval-high_school_chinese', | |
| 'ceval-high_school_history', | |
| 'ceval-middle_school_history', | |
| ]), | |
| dict(name='ceval-other', | |
| subsets=[ | |
| 'ceval-civil_servant', | |
| 'ceval-sports_science', | |
| 'ceval-plant_protection', | |
| 'ceval-basic_medicine', | |
| 'ceval-clinical_medicine', | |
| 'ceval-urban_and_rural_planner', | |
| 'ceval-accountant', | |
| 'ceval-fire_engineer', | |
| 'ceval-environmental_impact_assessment_engineer', | |
| 'ceval-tax_accountant', | |
| 'ceval-physician', | |
| ]), | |
| dict(name='ceval-hard', | |
| subsets=[ | |
| 'ceval-advanced_mathematics', | |
| 'ceval-discrete_mathematics', | |
| 'ceval-probability_and_statistics', | |
| 'ceval-college_chemistry', | |
| 'ceval-college_physics', | |
| 'ceval-high_school_mathematics', | |
| 'ceval-high_school_chemistry', | |
| 'ceval-high_school_physics', | |
| ]), | |
| dict(name='ceval', | |
| subsets=[ | |
| 'ceval-computer_network', | |
| 'ceval-operating_system', | |
| 'ceval-computer_architecture', | |
| 'ceval-college_programming', | |
| 'ceval-college_physics', | |
| 'ceval-college_chemistry', | |
| 'ceval-advanced_mathematics', | |
| 'ceval-probability_and_statistics', | |
| 'ceval-discrete_mathematics', | |
| 'ceval-electrical_engineer', | |
| 'ceval-metrology_engineer', | |
| 'ceval-high_school_mathematics', | |
| 'ceval-high_school_physics', | |
| 'ceval-high_school_chemistry', | |
| 'ceval-high_school_biology', | |
| 'ceval-middle_school_mathematics', | |
| 'ceval-middle_school_biology', | |
| 'ceval-middle_school_physics', | |
| 'ceval-middle_school_chemistry', | |
| 'ceval-veterinary_medicine', | |
| 'ceval-college_economics', | |
| 'ceval-business_administration', | |
| 'ceval-marxism', | |
| 'ceval-mao_zedong_thought', | |
| 'ceval-education_science', | |
| 'ceval-teacher_qualification', | |
| 'ceval-high_school_politics', | |
| 'ceval-high_school_geography', | |
| 'ceval-middle_school_politics', | |
| 'ceval-middle_school_geography', | |
| 'ceval-modern_chinese_history', | |
| 'ceval-ideological_and_moral_cultivation', | |
| 'ceval-logic', | |
| 'ceval-law', | |
| 'ceval-chinese_language_and_literature', | |
| 'ceval-art_studies', | |
| 'ceval-professional_tour_guide', | |
| 'ceval-legal_professional', | |
| 'ceval-high_school_chinese', | |
| 'ceval-high_school_history', | |
| 'ceval-middle_school_history', | |
| 'ceval-civil_servant', | |
| 'ceval-sports_science', | |
| 'ceval-plant_protection', | |
| 'ceval-basic_medicine', | |
| 'ceval-clinical_medicine', | |
| 'ceval-urban_and_rural_planner', | |
| 'ceval-accountant', | |
| 'ceval-fire_engineer', | |
| 'ceval-environmental_impact_assessment_engineer', | |
| 'ceval-tax_accountant', | |
| 'ceval-physician', | |
| ]), | |
| dict(name='ceval-test-stem', | |
| subsets=[ | |
| 'ceval-test-computer_network', | |
| 'ceval-test-operating_system', | |
| 'ceval-test-computer_architecture', | |
| 'ceval-test-college_programming', | |
| 'ceval-test-college_physics', | |
| 'ceval-test-college_chemistry', | |
| 'ceval-test-advanced_mathematics', | |
| 'ceval-test-probability_and_statistics', | |
| 'ceval-test-discrete_mathematics', | |
| 'ceval-test-electrical_engineer', | |
| 'ceval-test-metrology_engineer', | |
| 'ceval-test-high_school_mathematics', | |
| 'ceval-test-high_school_physics', | |
| 'ceval-test-high_school_chemistry', | |
| 'ceval-test-high_school_biology', | |
| 'ceval-test-middle_school_mathematics', | |
| 'ceval-test-middle_school_biology', | |
| 'ceval-test-middle_school_physics', | |
| 'ceval-test-middle_school_chemistry', | |
| 'ceval-test-veterinary_medicine', | |
| ]), | |
| dict(name='ceval-test-social-science', | |
| subsets=[ | |
| 'ceval-test-college_economics', | |
| 'ceval-test-business_administration', | |
| 'ceval-test-marxism', | |
| 'ceval-test-mao_zedong_thought', | |
| 'ceval-test-education_science', | |
| 'ceval-test-teacher_qualification', | |
| 'ceval-test-high_school_politics', | |
| 'ceval-test-high_school_geography', | |
| 'ceval-test-middle_school_politics', | |
| 'ceval-test-middle_school_geography', | |
| ]), | |
| dict(name='ceval-test-humanities', | |
| subsets=[ | |
| 'ceval-test-modern_chinese_history', | |
| 'ceval-test-ideological_and_moral_cultivation', | |
| 'ceval-test-logic', | |
| 'ceval-test-law', | |
| 'ceval-test-chinese_language_and_literature', | |
| 'ceval-test-art_studies', | |
| 'ceval-test-professional_tour_guide', | |
| 'ceval-test-legal_professional', | |
| 'ceval-test-high_school_chinese', | |
| 'ceval-test-high_school_history', | |
| 'ceval-test-middle_school_history', | |
| ]), | |
| dict(name='ceval-test-other', | |
| subsets=[ | |
| 'ceval-test-civil_servant', | |
| 'ceval-test-sports_science', | |
| 'ceval-test-plant_protection', | |
| 'ceval-test-basic_medicine', | |
| 'ceval-test-clinical_medicine', | |
| 'ceval-test-urban_and_rural_planner', | |
| 'ceval-test-accountant', | |
| 'ceval-test-fire_engineer', | |
| 'ceval-test-environmental_impact_assessment_engineer', | |
| 'ceval-test-tax_accountant', | |
| 'ceval-test-physician', | |
| ]), | |
| dict(name='ceval-test-hard', | |
| subsets=[ | |
| 'ceval-test-advanced_mathematics', | |
| 'ceval-test-discrete_mathematics', | |
| 'ceval-test-probability_and_statistics', | |
| 'ceval-test-college_chemistry', | |
| 'ceval-test-college_physics', | |
| 'ceval-test-high_school_mathematics', | |
| 'ceval-test-high_school_chemistry', | |
| 'ceval-test-high_school_physics', | |
| ]), | |
| dict(name='ceval-test', | |
| subsets=[ | |
| 'ceval-test-computer_network', | |
| 'ceval-test-operating_system', | |
| 'ceval-test-computer_architecture', | |
| 'ceval-test-college_programming', | |
| 'ceval-test-college_physics', | |
| 'ceval-test-college_chemistry', | |
| 'ceval-test-advanced_mathematics', | |
| 'ceval-test-probability_and_statistics', | |
| 'ceval-test-discrete_mathematics', | |
| 'ceval-test-electrical_engineer', | |
| 'ceval-test-metrology_engineer', | |
| 'ceval-test-high_school_mathematics', | |
| 'ceval-test-high_school_physics', | |
| 'ceval-test-high_school_chemistry', | |
| 'ceval-test-high_school_biology', | |
| 'ceval-test-middle_school_mathematics', | |
| 'ceval-test-middle_school_biology', | |
| 'ceval-test-middle_school_physics', | |
| 'ceval-test-middle_school_chemistry', | |
| 'ceval-test-veterinary_medicine', | |
| 'ceval-test-college_economics', | |
| 'ceval-test-business_administration', | |
| 'ceval-test-marxism', | |
| 'ceval-test-mao_zedong_thought', | |
| 'ceval-test-education_science', | |
| 'ceval-test-teacher_qualification', | |
| 'ceval-test-high_school_politics', | |
| 'ceval-test-high_school_geography', | |
| 'ceval-test-middle_school_politics', | |
| 'ceval-test-middle_school_geography', | |
| 'ceval-test-modern_chinese_history', | |
| 'ceval-test-ideological_and_moral_cultivation', | |
| 'ceval-test-logic', | |
| 'ceval-test-law', | |
| 'ceval-test-chinese_language_and_literature', | |
| 'ceval-test-art_studies', | |
| 'ceval-test-professional_tour_guide', | |
| 'ceval-test-legal_professional', | |
| 'ceval-test-high_school_chinese', | |
| 'ceval-test-high_school_history', | |
| 'ceval-test-middle_school_history', | |
| 'ceval-test-civil_servant', | |
| 'ceval-test-sports_science', | |
| 'ceval-test-plant_protection', | |
| 'ceval-test-basic_medicine', | |
| 'ceval-test-clinical_medicine', | |
| 'ceval-test-urban_and_rural_planner', | |
| 'ceval-test-accountant', | |
| 'ceval-test-fire_engineer', | |
| 'ceval-test-environmental_impact_assessment_engineer', | |
| 'ceval-test-tax_accountant', | |
| 'ceval-test-physician', | |
| ]), | |
| dict(name='bbh', | |
| subsets=[ | |
| 'bbh-temporal_sequences', | |
| 'bbh-disambiguation_qa', | |
| 'bbh-date_understanding', | |
| 'bbh-tracking_shuffled_objects_three_objects', | |
| 'bbh-penguins_in_a_table', | |
| 'bbh-geometric_shapes', | |
| 'bbh-snarks', | |
| 'bbh-ruin_names', | |
| 'bbh-tracking_shuffled_objects_seven_objects', | |
| 'bbh-tracking_shuffled_objects_five_objects', | |
| 'bbh-logical_deduction_three_objects', | |
| 'bbh-hyperbaton', | |
| 'bbh-logical_deduction_five_objects', | |
| 'bbh-logical_deduction_seven_objects', | |
| 'bbh-movie_recommendation', | |
| 'bbh-salient_translation_error_detection', | |
| 'bbh-reasoning_about_colored_objects', | |
| 'bbh-multistep_arithmetic_two', | |
| 'bbh-navigate', | |
| 'bbh-dyck_languages', | |
| 'bbh-word_sorting', | |
| 'bbh-sports_understanding', | |
| 'bbh-boolean_expressions', | |
| 'bbh-object_counting', | |
| 'bbh-formal_fallacies', | |
| 'bbh-causal_judgement', | |
| 'bbh-web_of_lies', | |
| ]), | |
| dict(name='GaokaoBench', | |
| subsets=[ | |
| 'GaokaoBench_2010-2022_Math_II_MCQs', | |
| 'GaokaoBench_2010-2022_Math_I_MCQs', | |
| 'GaokaoBench_2010-2022_History_MCQs', | |
| 'GaokaoBench_2010-2022_Biology_MCQs', | |
| 'GaokaoBench_2010-2022_Political_Science_MCQs', | |
| 'GaokaoBench_2010-2022_Physics_MCQs', | |
| 'GaokaoBench_2010-2022_Chemistry_MCQs', | |
| 'GaokaoBench_2010-2013_English_MCQs', | |
| 'GaokaoBench_2010-2022_Chinese_Modern_Lit', | |
| 'GaokaoBench_2010-2022_English_Fill_in_Blanks', | |
| 'GaokaoBench_2012-2022_English_Cloze_Test', | |
| 'GaokaoBench_2010-2022_Geography_MCQs', | |
| 'GaokaoBench_2010-2022_English_Reading_Comp', | |
| 'GaokaoBench_2010-2022_Chinese_Lang_and_Usage_MCQs', | |
| ], | |
| weights=dict( | |
| {'GaokaoBench_2010-2013_English_MCQs': 105, | |
| 'GaokaoBench_2010-2022_Biology_MCQs': 900, | |
| 'GaokaoBench_2010-2022_Chemistry_MCQs': 744, | |
| 'GaokaoBench_2010-2022_Chinese_Lang_and_Usage_MCQs': 240, | |
| 'GaokaoBench_2010-2022_Chinese_Modern_Lit': 261, | |
| 'GaokaoBench_2010-2022_English_Fill_in_Blanks': 900.0, | |
| 'GaokaoBench_2010-2022_English_Reading_Comp': 940, | |
| 'GaokaoBench_2010-2022_Geography_MCQs': 380, | |
| 'GaokaoBench_2010-2022_History_MCQs': 1148, | |
| 'GaokaoBench_2010-2022_Math_II_MCQs': 1090, | |
| 'GaokaoBench_2010-2022_Math_I_MCQs': 1070, | |
| 'GaokaoBench_2010-2022_Physics_MCQs': 384, | |
| 'GaokaoBench_2010-2022_Political_Science_MCQs': 1280, | |
| 'GaokaoBench_2012-2022_English_Cloze_Test': 260})), | |
| dict(name='flores_100_Indo-European-Germanic_English', | |
| subsets=[ | |
| 'flores_100_afr-eng', | |
| 'flores_100_dan-eng', | |
| 'flores_100_deu-eng', | |
| 'flores_100_isl-eng', | |
| 'flores_100_ltz-eng', | |
| 'flores_100_nld-eng', | |
| 'flores_100_nob-eng', | |
| 'flores_100_swe-eng', | |
| ]), | |
| dict(name='flores_100_English_Indo-European-Germanic', | |
| subsets=[ | |
| 'flores_100_eng-afr', | |
| 'flores_100_eng-dan', | |
| 'flores_100_eng-deu', | |
| 'flores_100_eng-isl', | |
| 'flores_100_eng-ltz', | |
| 'flores_100_eng-nld', | |
| 'flores_100_eng-nob', | |
| 'flores_100_eng-swe', | |
| ]), | |
| dict(name='flores_100_Indo-European-Romance_English', | |
| subsets=[ | |
| 'flores_100_ast-eng', | |
| 'flores_100_cat-eng', | |
| 'flores_100_fra-eng', | |
| 'flores_100_glg-eng', | |
| 'flores_100_oci-eng', | |
| 'flores_100_por-eng', | |
| 'flores_100_ron-eng', | |
| 'flores_100_spa-eng', | |
| ]), | |
| dict(name='flores_100_English_Indo-European-Romance', | |
| subsets=[ | |
| 'flores_100_eng-ast', | |
| 'flores_100_eng-cat', | |
| 'flores_100_eng-fra', | |
| 'flores_100_eng-glg', | |
| 'flores_100_eng-oci', | |
| 'flores_100_eng-por', | |
| 'flores_100_eng-ron', | |
| 'flores_100_eng-spa', | |
| ]), | |
| dict(name='flores_100_Indo-European-Slavic_English', | |
| subsets=[ | |
| 'flores_100_bel-eng', | |
| 'flores_100_bos-eng', | |
| 'flores_100_bul-eng', | |
| 'flores_100_ces-eng', | |
| 'flores_100_hrv-eng', | |
| 'flores_100_mkd-eng', | |
| 'flores_100_pol-eng', | |
| 'flores_100_rus-eng', | |
| 'flores_100_slk-eng', | |
| 'flores_100_slv-eng', | |
| 'flores_100_srp-eng', | |
| 'flores_100_ukr-eng', | |
| ]), | |
| dict(name='flores_100_English_Indo-European-Slavic', | |
| subsets=[ | |
| 'flores_100_eng-bel', | |
| 'flores_100_eng-bos', | |
| 'flores_100_eng-bul', | |
| 'flores_100_eng-ces', | |
| 'flores_100_eng-hrv', | |
| 'flores_100_eng-mkd', | |
| 'flores_100_eng-pol', | |
| 'flores_100_eng-rus', | |
| 'flores_100_eng-slk', | |
| 'flores_100_eng-slv', | |
| 'flores_100_eng-srp', | |
| 'flores_100_eng-ukr', | |
| ]), | |
| dict(name='flores_100_Indo-European-Indo-Aryan_English', | |
| subsets=[ | |
| 'flores_100_asm-eng', | |
| 'flores_100_ben-eng', | |
| 'flores_100_guj-eng', | |
| 'flores_100_hin-eng', | |
| 'flores_100_mar-eng', | |
| 'flores_100_npi-eng', | |
| 'flores_100_ory-eng', | |
| 'flores_100_pan-eng', | |
| 'flores_100_snd-eng', | |
| 'flores_100_urd-eng', | |
| ]), | |
| dict(name='flores_100_English_Indo-European-Indo-Aryan', | |
| subsets=[ | |
| 'flores_100_eng-asm', | |
| 'flores_100_eng-ben', | |
| 'flores_100_eng-guj', | |
| 'flores_100_eng-hin', | |
| 'flores_100_eng-mar', | |
| 'flores_100_eng-npi', | |
| 'flores_100_eng-ory', | |
| 'flores_100_eng-pan', | |
| 'flores_100_eng-snd', | |
| 'flores_100_eng-urd', | |
| ]), | |
| dict(name='flores_100_Indo-European-Other_English', | |
| subsets=[ | |
| 'flores_100_ckb-eng', | |
| 'flores_100_cym-eng', | |
| 'flores_100_ell-eng', | |
| 'flores_100_fas-eng', | |
| 'flores_100_gle-eng', | |
| 'flores_100_hye-eng', | |
| 'flores_100_ita-eng', | |
| 'flores_100_lav-eng', | |
| 'flores_100_lit-eng', | |
| 'flores_100_pus-eng', | |
| 'flores_100_tgk-eng', | |
| ]), | |
| dict(name='flores_100_English_Indo-European-Other', | |
| subsets=[ | |
| 'flores_100_eng-ckb', | |
| 'flores_100_eng-cym', | |
| 'flores_100_eng-ell', | |
| 'flores_100_eng-fas', | |
| 'flores_100_eng-gle', | |
| 'flores_100_eng-hye', | |
| 'flores_100_eng-ita', | |
| 'flores_100_eng-lav', | |
| 'flores_100_eng-lit', | |
| 'flores_100_eng-pus', | |
| 'flores_100_eng-tgk', | |
| ]), | |
| dict(name='flores_100_Austronesian_English', | |
| subsets=[ | |
| 'flores_100_ceb-eng', | |
| 'flores_100_ind-eng', | |
| 'flores_100_jav-eng', | |
| 'flores_100_mri-eng', | |
| 'flores_100_msa-eng', | |
| 'flores_100_tgl-eng', | |
| ]), | |
| dict(name='flores_100_English_Austronesian', | |
| subsets=[ | |
| 'flores_100_eng-ceb', | |
| 'flores_100_eng-ind', | |
| 'flores_100_eng-jav', | |
| 'flores_100_eng-mri', | |
| 'flores_100_eng-msa', | |
| 'flores_100_eng-tgl', | |
| ]), | |
| dict(name='flores_100_Atlantic-Congo_English', | |
| subsets=[ | |
| 'flores_100_ibo-eng', | |
| 'flores_100_kam-eng', | |
| 'flores_100_kea-eng', | |
| 'flores_100_lin-eng', | |
| 'flores_100_lug-eng', | |
| 'flores_100_nso-eng', | |
| 'flores_100_nya-eng', | |
| 'flores_100_sna-eng', | |
| 'flores_100_swh-eng', | |
| 'flores_100_umb-eng', | |
| 'flores_100_wol-eng', | |
| 'flores_100_xho-eng', | |
| 'flores_100_yor-eng', | |
| 'flores_100_zul-eng', | |
| ]), | |
| dict(name='flores_100_English_Atlantic-Congo', | |
| subsets=[ | |
| 'flores_100_eng-ibo', | |
| 'flores_100_eng-kam', | |
| 'flores_100_eng-kea', | |
| 'flores_100_eng-lin', | |
| 'flores_100_eng-lug', | |
| 'flores_100_eng-nso', | |
| 'flores_100_eng-nya', | |
| 'flores_100_eng-sna', | |
| 'flores_100_eng-swh', | |
| 'flores_100_eng-umb', | |
| 'flores_100_eng-wol', | |
| 'flores_100_eng-xho', | |
| 'flores_100_eng-yor', | |
| 'flores_100_eng-zul', | |
| ]), | |
| dict(name='flores_100_Afro-Asiatic_English', | |
| subsets=[ | |
| 'flores_100_amh-eng', | |
| 'flores_100_ara-eng', | |
| 'flores_100_ful-eng', | |
| 'flores_100_mlt-eng', | |
| 'flores_100_orm-eng', | |
| 'flores_100_som-eng', | |
| ]), | |
| dict(name='flores_100_English_Afro-Asiatic', | |
| subsets=[ | |
| 'flores_100_eng-amh', | |
| 'flores_100_eng-ara', | |
| 'flores_100_eng-ful', | |
| 'flores_100_eng-mlt', | |
| 'flores_100_eng-orm', | |
| 'flores_100_eng-som', | |
| ]), | |
| dict(name='flores_100_Turkic_English', | |
| subsets=[ | |
| 'flores_100_azj-eng', | |
| 'flores_100_kaz-eng', | |
| 'flores_100_kir-eng', | |
| 'flores_100_tur-eng', | |
| 'flores_100_uzb-eng', | |
| ]), | |
| dict(name='flores_100_English_Turkic', | |
| subsets=[ | |
| 'flores_100_eng-azj', | |
| 'flores_100_eng-kaz', | |
| 'flores_100_eng-kir', | |
| 'flores_100_eng-tur', | |
| 'flores_100_eng-uzb', | |
| ]), | |
| dict(name='flores_100_Dravidian_English', | |
| subsets=[ | |
| 'flores_100_kan-eng', | |
| 'flores_100_mal-eng', | |
| 'flores_100_tam-eng', | |
| 'flores_100_tel-eng', | |
| ]), | |
| dict(name='flores_100_English_Dravidian', | |
| subsets=[ | |
| 'flores_100_eng-kan', | |
| 'flores_100_eng-mal', | |
| 'flores_100_eng-tam', | |
| 'flores_100_eng-tel', | |
| ]), | |
| dict(name='flores_100_Sino-Tibetan_English', | |
| subsets=[ | |
| 'flores_100_mya-eng', | |
| 'flores_100_zho_simpl-eng', | |
| 'flores_100_zho_trad-eng', | |
| ]), | |
| dict(name='flores_100_English_Sino-Tibetan', | |
| subsets=[ | |
| 'flores_100_eng-mya', | |
| 'flores_100_eng-zho_simpl', | |
| 'flores_100_eng-zho_trad', | |
| ]), | |
| dict(name='flores_100_Other_English', | |
| subsets=[ | |
| 'flores_100_est-eng', | |
| 'flores_100_fin-eng', | |
| 'flores_100_hau-eng', | |
| 'flores_100_heb-eng', | |
| 'flores_100_hun-eng', | |
| 'flores_100_jpn-eng', | |
| 'flores_100_kat-eng', | |
| 'flores_100_khm-eng', | |
| 'flores_100_kor-eng', | |
| 'flores_100_lao-eng', | |
| 'flores_100_luo-eng', | |
| 'flores_100_mon-eng', | |
| 'flores_100_tha-eng', | |
| 'flores_100_vie-eng', | |
| ]), | |
| dict(name='flores_100_English_Other', | |
| subsets=[ | |
| 'flores_100_eng-est', | |
| 'flores_100_eng-fin', | |
| 'flores_100_eng-hau', | |
| 'flores_100_eng-heb', | |
| 'flores_100_eng-hun', | |
| 'flores_100_eng-jpn', | |
| 'flores_100_eng-kat', | |
| 'flores_100_eng-khm', | |
| 'flores_100_eng-kor', | |
| 'flores_100_eng-lao', | |
| 'flores_100_eng-luo', | |
| 'flores_100_eng-mon', | |
| 'flores_100_eng-tha', | |
| 'flores_100_eng-vie', | |
| ]), | |
| dict(name='flores_100', | |
| subsets=[ | |
| 'flores_100_afr-eng', | |
| 'flores_100_dan-eng', | |
| 'flores_100_deu-eng', | |
| 'flores_100_isl-eng', | |
| 'flores_100_ltz-eng', | |
| 'flores_100_nld-eng', | |
| 'flores_100_nob-eng', | |
| 'flores_100_swe-eng', | |
| 'flores_100_ast-eng', | |
| 'flores_100_cat-eng', | |
| 'flores_100_fra-eng', | |
| 'flores_100_glg-eng', | |
| 'flores_100_oci-eng', | |
| 'flores_100_por-eng', | |
| 'flores_100_ron-eng', | |
| 'flores_100_spa-eng', | |
| 'flores_100_bel-eng', | |
| 'flores_100_bos-eng', | |
| 'flores_100_bul-eng', | |
| 'flores_100_ces-eng', | |
| 'flores_100_hrv-eng', | |
| 'flores_100_mkd-eng', | |
| 'flores_100_pol-eng', | |
| 'flores_100_rus-eng', | |
| 'flores_100_slk-eng', | |
| 'flores_100_slv-eng', | |
| 'flores_100_srp-eng', | |
| 'flores_100_ukr-eng', | |
| 'flores_100_asm-eng', | |
| 'flores_100_ben-eng', | |
| 'flores_100_guj-eng', | |
| 'flores_100_hin-eng', | |
| 'flores_100_mar-eng', | |
| 'flores_100_npi-eng', | |
| 'flores_100_ory-eng', | |
| 'flores_100_pan-eng', | |
| 'flores_100_snd-eng', | |
| 'flores_100_urd-eng', | |
| 'flores_100_ckb-eng', | |
| 'flores_100_cym-eng', | |
| 'flores_100_ell-eng', | |
| 'flores_100_fas-eng', | |
| 'flores_100_gle-eng', | |
| 'flores_100_hye-eng', | |
| 'flores_100_ita-eng', | |
| 'flores_100_lav-eng', | |
| 'flores_100_lit-eng', | |
| 'flores_100_pus-eng', | |
| 'flores_100_tgk-eng', | |
| 'flores_100_ceb-eng', | |
| 'flores_100_ind-eng', | |
| 'flores_100_jav-eng', | |
| 'flores_100_mri-eng', | |
| 'flores_100_msa-eng', | |
| 'flores_100_tgl-eng', | |
| 'flores_100_ibo-eng', | |
| 'flores_100_kam-eng', | |
| 'flores_100_kea-eng', | |
| 'flores_100_lin-eng', | |
| 'flores_100_lug-eng', | |
| 'flores_100_nso-eng', | |
| 'flores_100_nya-eng', | |
| 'flores_100_sna-eng', | |
| 'flores_100_swh-eng', | |
| 'flores_100_umb-eng', | |
| 'flores_100_wol-eng', | |
| 'flores_100_xho-eng', | |
| 'flores_100_yor-eng', | |
| 'flores_100_zul-eng', | |
| 'flores_100_amh-eng', | |
| 'flores_100_ara-eng', | |
| 'flores_100_ful-eng', | |
| 'flores_100_mlt-eng', | |
| 'flores_100_orm-eng', | |
| 'flores_100_som-eng', | |
| 'flores_100_azj-eng', | |
| 'flores_100_kaz-eng', | |
| 'flores_100_kir-eng', | |
| 'flores_100_tur-eng', | |
| 'flores_100_uzb-eng', | |
| 'flores_100_kan-eng', | |
| 'flores_100_mal-eng', | |
| 'flores_100_tam-eng', | |
| 'flores_100_tel-eng', | |
| 'flores_100_mya-eng', | |
| 'flores_100_zho_simpl-eng', | |
| 'flores_100_zho_trad-eng', | |
| 'flores_100_est-eng', | |
| 'flores_100_fin-eng', | |
| 'flores_100_hau-eng', | |
| 'flores_100_heb-eng', | |
| 'flores_100_hun-eng', | |
| 'flores_100_jpn-eng', | |
| 'flores_100_kat-eng', | |
| 'flores_100_khm-eng', | |
| 'flores_100_kor-eng', | |
| 'flores_100_lao-eng', | |
| 'flores_100_luo-eng', | |
| 'flores_100_mon-eng', | |
| 'flores_100_tha-eng', | |
| 'flores_100_vie-eng', | |
| 'flores_100_eng-afr', | |
| 'flores_100_eng-dan', | |
| 'flores_100_eng-deu', | |
| 'flores_100_eng-isl', | |
| 'flores_100_eng-ltz', | |
| 'flores_100_eng-nld', | |
| 'flores_100_eng-nob', | |
| 'flores_100_eng-swe', | |
| 'flores_100_eng-ast', | |
| 'flores_100_eng-cat', | |
| 'flores_100_eng-fra', | |
| 'flores_100_eng-glg', | |
| 'flores_100_eng-oci', | |
| 'flores_100_eng-por', | |
| 'flores_100_eng-ron', | |
| 'flores_100_eng-spa', | |
| 'flores_100_eng-bel', | |
| 'flores_100_eng-bos', | |
| 'flores_100_eng-bul', | |
| 'flores_100_eng-ces', | |
| 'flores_100_eng-hrv', | |
| 'flores_100_eng-mkd', | |
| 'flores_100_eng-pol', | |
| 'flores_100_eng-rus', | |
| 'flores_100_eng-slk', | |
| 'flores_100_eng-slv', | |
| 'flores_100_eng-srp', | |
| 'flores_100_eng-ukr', | |
| 'flores_100_eng-asm', | |
| 'flores_100_eng-ben', | |
| 'flores_100_eng-guj', | |
| 'flores_100_eng-hin', | |
| 'flores_100_eng-mar', | |
| 'flores_100_eng-npi', | |
| 'flores_100_eng-ory', | |
| 'flores_100_eng-pan', | |
| 'flores_100_eng-snd', | |
| 'flores_100_eng-urd', | |
| 'flores_100_eng-ckb', | |
| 'flores_100_eng-cym', | |
| 'flores_100_eng-ell', | |
| 'flores_100_eng-fas', | |
| 'flores_100_eng-gle', | |
| 'flores_100_eng-hye', | |
| 'flores_100_eng-ita', | |
| 'flores_100_eng-lav', | |
| 'flores_100_eng-lit', | |
| 'flores_100_eng-pus', | |
| 'flores_100_eng-tgk', | |
| 'flores_100_eng-ceb', | |
| 'flores_100_eng-ind', | |
| 'flores_100_eng-jav', | |
| 'flores_100_eng-mri', | |
| 'flores_100_eng-msa', | |
| 'flores_100_eng-tgl', | |
| 'flores_100_eng-ibo', | |
| 'flores_100_eng-kam', | |
| 'flores_100_eng-kea', | |
| 'flores_100_eng-lin', | |
| 'flores_100_eng-lug', | |
| 'flores_100_eng-nso', | |
| 'flores_100_eng-nya', | |
| 'flores_100_eng-sna', | |
| 'flores_100_eng-swh', | |
| 'flores_100_eng-umb', | |
| 'flores_100_eng-wol', | |
| 'flores_100_eng-xho', | |
| 'flores_100_eng-yor', | |
| 'flores_100_eng-zul', | |
| 'flores_100_eng-amh', | |
| 'flores_100_eng-ara', | |
| 'flores_100_eng-ful', | |
| 'flores_100_eng-mlt', | |
| 'flores_100_eng-orm', | |
| 'flores_100_eng-som', | |
| 'flores_100_eng-azj', | |
| 'flores_100_eng-kaz', | |
| 'flores_100_eng-kir', | |
| 'flores_100_eng-tur', | |
| 'flores_100_eng-uzb', | |
| 'flores_100_eng-kan', | |
| 'flores_100_eng-mal', | |
| 'flores_100_eng-tam', | |
| 'flores_100_eng-tel', | |
| 'flores_100_eng-mya', | |
| 'flores_100_eng-zho_simpl', | |
| 'flores_100_eng-zho_trad', | |
| 'flores_100_eng-est', | |
| 'flores_100_eng-fin', | |
| 'flores_100_eng-hau', | |
| 'flores_100_eng-heb', | |
| 'flores_100_eng-hun', | |
| 'flores_100_eng-jpn', | |
| 'flores_100_eng-kat', | |
| 'flores_100_eng-khm', | |
| 'flores_100_eng-kor', | |
| 'flores_100_eng-lao', | |
| 'flores_100_eng-luo', | |
| 'flores_100_eng-mon', | |
| 'flores_100_eng-tha', | |
| 'flores_100_eng-vie', | |
| ]), | |
| dict(name='tydiqa-goldp', | |
| subsets=[ | |
| 'tydiqa-goldp_arabic', | |
| 'tydiqa-goldp_bengali', | |
| 'tydiqa-goldp_english', | |
| 'tydiqa-goldp_finnish', | |
| 'tydiqa-goldp_indonesian', | |
| 'tydiqa-goldp_japanese', | |
| 'tydiqa-goldp_korean', | |
| 'tydiqa-goldp_russian', | |
| 'tydiqa-goldp_swahili', | |
| 'tydiqa-goldp_telugu', | |
| 'tydiqa-goldp_thai', | |
| ]), | |
| dict(name='xiezhi', | |
| subsets=[ | |
| 'xiezhi-spec_eng', | |
| 'xiezhi-spec_chn', | |
| 'xiezhi-inter_eng', | |
| 'xiezhi-inter_chn', | |
| ]), | |
| dict(name='scibench', | |
| subsets=[ | |
| 'scibench-atkins', | |
| 'scibench-calculus', | |
| 'scibench-chemmc', | |
| 'scibench-class', | |
| 'scibench-diff', | |
| 'scibench-fund', | |
| 'scibench-matter', | |
| 'scibench-quan', | |
| 'scibench-stat', | |
| 'scibench-thermo', | |
| ]), | |
| dict(name='scibench_zs-cot', | |
| subsets=[ | |
| 'scibench-atkins_zs-cot', | |
| 'scibench-calculus_zs-cot', | |
| 'scibench-chemmc_zs-cot', | |
| 'scibench-class_zs-cot', | |
| 'scibench-diff_zs-cot', | |
| 'scibench-fund_zs-cot', | |
| 'scibench-matter_zs-cot', | |
| 'scibench-quan_zs-cot', | |
| 'scibench-stat_zs-cot', | |
| 'scibench-thermo_zs-cot', | |
| ]), | |
| dict(name='scibench_fs', | |
| subsets=[ | |
| 'scibench-atkins_fs', | |
| 'scibench-calculus_fs', | |
| 'scibench-chemmc_fs', | |
| 'scibench-class_fs', | |
| 'scibench-diff_fs', | |
| 'scibench-fund_fs', | |
| 'scibench-matter_fs', | |
| 'scibench-quan_fs', | |
| 'scibench-stat_fs', | |
| 'scibench-thermo_fs', | |
| ]), | |
| dict(name='scibench_fs-cot', | |
| subsets=[ | |
| 'scibench-atkins_fs-cot', | |
| 'scibench-calculus_fs-cot', | |
| 'scibench-chemmc_fs-cot', | |
| 'scibench-class_fs-cot', | |
| 'scibench-diff_fs-cot', | |
| 'scibench-fund_fs-cot', | |
| 'scibench-matter_fs-cot', | |
| 'scibench-quan_fs-cot', | |
| 'scibench-stat_fs-cot', | |
| 'scibench-thermo_fs-cot', | |
| ]), | |
| ]) | |
| work_dir='./outputs/default/20240306_150333' |