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Update files from the datasets library (from 1.0.2)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.2

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  1. dataset_infos.json +1 -1
  2. lince.py +12 -12
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"lid_spaeng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark \n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{molina-etal-2016-overview,\n title = \"Overview for the Second Shared Task on Language Identification in Code-Switched Data\",\n author = \"Molina, Giovanni and\n AlGhamdi, Fahad and\n Ghoneim, Mahmoud and\n Hawwari, Abdelati and\n Rey-Villamizar, Nicolas and\n Diab, Mona and\n Solorio, Thamar\",\n booktitle = \"Proceedings of the Second Workshop on Computational Approaches to Code Switching\",\n month = nov,\n year = \"2016\",\n address = \"Austin, Texas\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/W16-5805\",\n doi = \"10.18653/v1/W16-5805\",\n pages = \"40--49\",\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "lid_spaeng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4745003, "num_examples": 21030, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 739950, "num_examples": 3332, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 1337727, "num_examples": 8289, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/lid_spaeng.zip": {"num_bytes": 1188861, "checksum": "f85c4166f858bb28c6bdf0b5062f9fe4645f5d67d24861fb04258424cccc19e4"}}, "download_size": 1188861, "post_processing_size": 0, "dataset_size": 6822680, "size_in_bytes": 8011541}, "lid_hineng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark \n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{mave-etal-2018-language,\n title = \"Language Identification and Analysis of Code-Switched Social Media Text\",\n author = \"Mave, Deepthi and\n Maharjan, Suraj and\n Solorio, Thamar\",\n booktitle = \"Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching\",\n month = jul,\n year = \"2018\",\n address = \"Melbourne, Australia\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/W18-3206\",\n pages = \"51--61\"\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "lid_hineng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1662284, "num_examples": 4823, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 268930, "num_examples": 744, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 456850, "num_examples": 1854, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/lid_hineng.zip": {"num_bytes": 432854, "checksum": "b36a28c1b05f8575952f8a245edce20ab8e21543c6e11feb80220681a4c81068"}}, "download_size": 432854, "post_processing_size": 0, "dataset_size": 2388064, "size_in_bytes": 2820918}, "lid_msaea": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark \n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{molina-etal-2016-overview,\n title = \"Overview for the Second Shared Task on Language Identification in Code-Switched Data\",\n author = \"Molina, Giovanni and\n AlGhamdi, Fahad and\n Ghoneim, Mahmoud and\n Hawwari, Abdelati and\n Rey-Villamizar, Nicolas and\n Diab, Mona and\n Solorio, Thamar\",\n booktitle = \"Proceedings of the Second Workshop on Computational Approaches to Code Switching\",\n month = nov,\n year = \"2016\",\n address = \"Austin, Texas\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/W16-5805\",\n doi = \"10.18653/v1/W16-5805\",\n pages = \"40--49\",\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. 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Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "pos_hineng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 537541, "num_examples": 1030, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 80886, "num_examples": 160, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 131192, "num_examples": 299, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/pos_hineng.zip": {"num_bytes": 113872, "checksum": "ad8067145f19e4b350969fa3ee422d8f86a393170d6f448bdad2cd157075da53"}}, "download_size": 113872, "post_processing_size": 0, "dataset_size": 749619, "size_in_bytes": 863491}, "ner_spaeng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark\n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{aguilar-etal-2018-named,\n title = {{Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task}},\n author = \"Aguilar, Gustavo and\n AlGhamdi, Fahad and\n Soto, Victor and\n Diab, Mona and\n Hirschberg, Julia and\n Solorio, Thamar\",\n booktitle = {{Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching}},\n month = jul,\n year = \"2018\",\n address = \"Melbourne, Australia\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/W18-3219\",\n pages = \"138--147\"\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"test": {}, "train": {}, "validation": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "ner_spaeng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9836312, "num_examples": 33611, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 2980990, "num_examples": 10085, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 6530956, "num_examples": 23527, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/ner_spaeng.zip": {"num_bytes": 3075520, "checksum": "9ad57558575e156efc12cacf72f46f58ff4f1651808f55afe279495317fca461"}}, "download_size": 3075520, "post_processing_size": 0, "dataset_size": 19348258, "size_in_bytes": 22423778}, "ner_msaea": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark\n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{aguilar-etal-2018-named,\n title = {{Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task}},\n author = \"Aguilar, Gustavo and\n AlGhamdi, Fahad and\n Soto, Victor and\n Diab, Mona and\n Hirschberg, Julia and\n Solorio, Thamar\",\n booktitle = {{Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching}},\n month = jul,\n year = \"2018\",\n address = \"Melbourne, Australia\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/W18-3219\",\n pages = \"138--147\"\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "ner_msaea", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3887684, "num_examples": 10103, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 431414, "num_examples": 1122, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 367310, "num_examples": 1110, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/ner_msaea.zip": {"num_bytes": 938671, "checksum": "77d13c0a5e1b2923ec7fdd2941fda0d08b5fc690756feff12c411c9e73514b69"}}, "download_size": 938671, "post_processing_size": 0, "dataset_size": 4686408, "size_in_bytes": 5625079}, "ner_hineng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark\n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{singh-etal-2018-language,\n title = \"Language Identification and Named Entity Recognition in {H}inglish Code Mixed Tweets\",\n author = \"Singh, Kushagra and\n Sen, Indira and\n Kumaraguru, Ponnurangam\",\n booktitle = \"Proceedings of {ACL} 2018, Student Research Workshop\",\n month = jul,\n year = \"2018\",\n address = \"Melbourne, Australia\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/P18-3008\",\n doi = \"10.18653/v1/P18-3008\",\n pages = \"52--58\",\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"test": {}, "train": {}, "validation": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "ner_hineng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 474639, "num_examples": 1243, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 121403, "num_examples": 314, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 185220, "num_examples": 522, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/ner_hineng.zip": {"num_bytes": 141285, "checksum": "a4abf0672adfbd3c50c9670ecb16df4950c5078473afd8af4b4c15954731772f"}}, "download_size": 141285, "post_processing_size": 0, "dataset_size": 781262, "size_in_bytes": 922547}, "sa_spaeng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark\n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{patwa2020sentimix,\n title={SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets},\n author=\"Patwa, Parth and\n Aguilar, Gustavo and\n Kar, Sudipta and\n Pandey, Suraj and\n PYKL, Srinivas and\n Garrette, Dan and\n Gamb{\"a}ck, Bj{\"o}rn and\n Chakraborty, Tanmoy and\n Solorio, Thamar and\n Das, Amitava\",\n booktitle = \"Proceedings of the 14th International Workshop on Semantic Evaluation ({S}em{E}val-2020)\",\n year = 2020,\n month = sep,\n address = \"Barcelona, Spain\",\n publisher = \"Association for Computational Linguistics\"\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n author = \"Aguilar, Gustavo and\n Kar, Sudipta and\n Solorio, Thamar\",\n booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resources Association\",\n url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n pages = \"1803--1813\",\n language = \"English\",\n ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "sa": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "sa_spaeng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3587783, "num_examples": 12194, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 546692, "num_examples": 1859, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 1349407, "num_examples": 4736, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/sa_spaeng.zip": {"num_bytes": 1031412, "checksum": "e184ec996551e1bebe872910234685119750004da2787e2da132a0580ab74246"}}, "download_size": 1031412, "post_processing_size": 0, "dataset_size": 5483882, "size_in_bytes": 6515294}}
lince.py CHANGED
@@ -277,7 +277,7 @@ class Lince(datasets.GeneratorBasedBuilder):
277
  LinceConfig(
278
  name="lid_spaeng",
279
  data_dir="lid_spaeng",
280
- colnames={"tokens": 0, "lid": 1},
281
  classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
282
  label_column="lid",
283
  description="Spanish-English language identification dataset (Latin script)",
@@ -285,7 +285,7 @@ class Lince(datasets.GeneratorBasedBuilder):
285
  LinceConfig(
286
  name="lid_hineng",
287
  data_dir="lid_hineng",
288
- colnames={"tokens": 0, "lid": 1},
289
  classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
290
  label_column="lid",
291
  description="Hindi-English language identification dataset (Latin script)",
@@ -293,7 +293,7 @@ class Lince(datasets.GeneratorBasedBuilder):
293
  LinceConfig(
294
  name="lid_msaea",
295
  data_dir="lid_msaea",
296
- colnames={"tokens": 0, "lid": 1},
297
  classes={
298
  "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
299
  },
@@ -303,7 +303,7 @@ class Lince(datasets.GeneratorBasedBuilder):
303
  LinceConfig(
304
  name="lid_nepeng",
305
  data_dir="lid_nepeng",
306
- colnames={"tokens": 0, "lid": 1},
307
  classes={
308
  "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
309
  },
@@ -315,7 +315,7 @@ class Lince(datasets.GeneratorBasedBuilder):
315
  LinceConfig(
316
  name="pos_spaeng",
317
  data_dir="pos_spaeng",
318
- colnames={"tokens": 0, "lid": 1, "pos": 2},
319
  classes={
320
  "lid": ["UNK", "eng", "eng&spa", "spa"],
321
  "pos": [
@@ -344,7 +344,7 @@ class Lince(datasets.GeneratorBasedBuilder):
344
  LinceConfig(
345
  name="pos_hineng",
346
  data_dir="pos_hineng",
347
- colnames={"tokens": 0, "lid": 1, "pos": 2},
348
  classes={
349
  "lid": ["en", "hi", "rest"],
350
  "pos": [
@@ -372,7 +372,7 @@ class Lince(datasets.GeneratorBasedBuilder):
372
  LinceConfig(
373
  name="ner_spaeng",
374
  data_dir="ner_spaeng",
375
- colnames={"tokens": 0, "lid": 1, "ner": 2},
376
  classes={
377
  "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
378
  "ner": [
@@ -403,7 +403,7 @@ class Lince(datasets.GeneratorBasedBuilder):
403
  LinceConfig(
404
  name="ner_msaea",
405
  data_dir="ner_msaea",
406
- colnames={"tokens": 0, "ner": 1},
407
  classes={
408
  "ner": [
409
  "O",
@@ -433,7 +433,7 @@ class Lince(datasets.GeneratorBasedBuilder):
433
  LinceConfig(
434
  name="ner_hineng",
435
  data_dir="ner_hineng",
436
- colnames={"tokens": 0, "lid": 1, "ner": 2},
437
  classes={
438
  "lid": ["en", "hi", "rest"],
439
  "ner": ["O", "B-PERSON", "I-PERSON", "B-ORGANISATION", "I-ORGANISATION", "B-PLACE", "I-PLACE"],
@@ -446,7 +446,7 @@ class Lince(datasets.GeneratorBasedBuilder):
446
  LinceConfig(
447
  name="sa_spaeng",
448
  data_dir="sa_spaeng",
449
- colnames={"tokens": 0, "lid": 1, "sa": 2},
450
  classes={
451
  "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
452
  "sa": ["positive", "neutral", "negative"],
@@ -457,7 +457,7 @@ class Lince(datasets.GeneratorBasedBuilder):
457
  ]
458
 
459
  def _info(self):
460
- features = {"idx": datasets.Value("int32"), "tokens": datasets.Sequence(datasets.Value("string"))}
461
 
462
  if self.config.name != "ner_msaea":
463
  features["lid"] = datasets.Sequence(
@@ -543,6 +543,6 @@ class Lince(datasets.GeneratorBasedBuilder):
543
  if self.config.label_column == "sa":
544
  row[self.config.label_column] = ""
545
  else:
546
- row[self.config.label_column] = [""] * len(row["tokens"])
547
 
548
  yield index, row
 
277
  LinceConfig(
278
  name="lid_spaeng",
279
  data_dir="lid_spaeng",
280
+ colnames={"words": 0, "lid": 1},
281
  classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
282
  label_column="lid",
283
  description="Spanish-English language identification dataset (Latin script)",
 
285
  LinceConfig(
286
  name="lid_hineng",
287
  data_dir="lid_hineng",
288
+ colnames={"words": 0, "lid": 1},
289
  classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
290
  label_column="lid",
291
  description="Hindi-English language identification dataset (Latin script)",
 
293
  LinceConfig(
294
  name="lid_msaea",
295
  data_dir="lid_msaea",
296
+ colnames={"words": 0, "lid": 1},
297
  classes={
298
  "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
299
  },
 
303
  LinceConfig(
304
  name="lid_nepeng",
305
  data_dir="lid_nepeng",
306
+ colnames={"words": 0, "lid": 1},
307
  classes={
308
  "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
309
  },
 
315
  LinceConfig(
316
  name="pos_spaeng",
317
  data_dir="pos_spaeng",
318
+ colnames={"words": 0, "lid": 1, "pos": 2},
319
  classes={
320
  "lid": ["UNK", "eng", "eng&spa", "spa"],
321
  "pos": [
 
344
  LinceConfig(
345
  name="pos_hineng",
346
  data_dir="pos_hineng",
347
+ colnames={"words": 0, "lid": 1, "pos": 2},
348
  classes={
349
  "lid": ["en", "hi", "rest"],
350
  "pos": [
 
372
  LinceConfig(
373
  name="ner_spaeng",
374
  data_dir="ner_spaeng",
375
+ colnames={"words": 0, "lid": 1, "ner": 2},
376
  classes={
377
  "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
378
  "ner": [
 
403
  LinceConfig(
404
  name="ner_msaea",
405
  data_dir="ner_msaea",
406
+ colnames={"words": 0, "ner": 1},
407
  classes={
408
  "ner": [
409
  "O",
 
433
  LinceConfig(
434
  name="ner_hineng",
435
  data_dir="ner_hineng",
436
+ colnames={"words": 0, "lid": 1, "ner": 2},
437
  classes={
438
  "lid": ["en", "hi", "rest"],
439
  "ner": ["O", "B-PERSON", "I-PERSON", "B-ORGANISATION", "I-ORGANISATION", "B-PLACE", "I-PLACE"],
 
446
  LinceConfig(
447
  name="sa_spaeng",
448
  data_dir="sa_spaeng",
449
+ colnames={"words": 0, "lid": 1, "sa": 2},
450
  classes={
451
  "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
452
  "sa": ["positive", "neutral", "negative"],
 
457
  ]
458
 
459
  def _info(self):
460
+ features = {"idx": datasets.Value("int32"), "words": datasets.Sequence(datasets.Value("string"))}
461
 
462
  if self.config.name != "ner_msaea":
463
  features["lid"] = datasets.Sequence(
 
543
  if self.config.label_column == "sa":
544
  row[self.config.label_column] = ""
545
  else:
546
+ row[self.config.label_column] = [""] * len(row["words"])
547
 
548
  yield index, row