Datasets:
conll2012_ontonotesv5

- {"english_v4": {"description": "OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,\nmultilingual corpus manually annotated with syntactic, semantic and discourse information.\n\nThis dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.\nIt includes v4 train/dev and v9 test data for English/Chinese/Arabic and corrected version v12 train/dev/test data (English only).\n\nThe source of data is the Mendeley Data repo [ontonotes-conll2012](https://data.mendeley.com/datasets/zmycy7t9h9), which seems to be as the same as the official data, but users should use this dataset on their own responsibility.\n\nSee also summaries from paperwithcode, [OntoNotes 5.0](https://paperswithcode.com/dataset/ontonotes-5-0) and [CoNLL-2012](https://paperswithcode.com/dataset/conll-2012-1)\n\nFor more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.\n", "citation": "@inproceedings{pradhan-etal-2013-towards,\n title = \"Towards Robust Linguistic Analysis using {O}nto{N}otes\",\n author = {Pradhan, Sameer and\n Moschitti, Alessandro and\n Xue, Nianwen and\n Ng, Hwee Tou and\n Bj{\"o}rkelund, Anders and\n Uryupina, Olga and\n Zhang, Yuchen and\n Zhong, Zhi},\n booktitle = \"Proceedings of the Seventeenth Conference on Computational Natural Language Learning\",\n month = aug,\n year = \"2013\",\n address = \"Sofia, Bulgaria\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/W13-3516\",\n pages = \"143--152\",\n}\n\nRalph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston. OntoNotes Release 5.0 LDC2013T19. Web Download. Philadelphia: Linguistic Data Consortium, 2013.\n", "homepage": "https://conll.cemantix.org/2012/introduction.html", "license": "", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentences": [{"part_id": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 49, "names": ["XX", "``", "$", "''", ",", "-LRB-", "-RRB-", ".", ":", "ADD", "AFX", "CC", "CD", "DT", "EX", "FW", "HYPH", "IN", "JJ", "JJR", "JJS", "LS", "MD", "NFP", "NN", "NNP", "NNPS", "NNS", "PDT", "POS", "PRP", "PRP$", "RB", "RBR", "RBS", "RP", "SYM", "TO", "UH", "VB", "VBD", "VBG", "VBN", "VBP", "VBZ", "WDT", "WP", "WP$", "WRB"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "parse_tree": {"dtype": "string", "id": null, "_type": "Value"}, "predicate_lemmas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "predicate_framenet_ids": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "word_senses": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "named_entities": {"feature": {"num_classes": 37, "names": ["O", "B-PERSON", "I-PERSON", "B-NORP", "I-NORP", "B-FAC", "I-FAC", "B-ORG", "I-ORG", "B-GPE", "I-GPE", "B-LOC", "I-LOC", "B-PRODUCT", "I-PRODUCT", "B-DATE", "I-DATE", "B-TIME", "I-TIME", "B-PERCENT", "I-PERCENT", "B-MONEY", "I-MONEY", "B-QUANTITY", "I-QUANTITY", "B-ORDINAL", "I-ORDINAL", "B-CARDINAL", "I-CARDINAL", "B-EVENT", "I-EVENT", "B-WORK_OF_ART", "I-WORK_OF_ART", "B-LAW", "I-LAW", "B-LANGUAGE", "I-LANGUAGE"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "srl_frames": [{"verb": {"dtype": "string", 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{"https://data.mendeley.com/public-files/datasets/zmycy7t9h9/files/b078e1c4-f7a4-4427-be7f-9389967831ef/file_downloaded": {"num_bytes": 193644139, "checksum": "24115e5bd97a50560259346d4ef27ed0339228a6ccd80f5c59f05111b9355f8e"}}, "download_size": 193644139, "post_processing_size": null, "dataset_size": 141072090, "size_in_bytes": 334716229}, "chinese_v4": {"description": "OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,\nmultilingual corpus manually annotated with syntactic, semantic and discourse information.\n\nThis dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.\nIt includes v4 train/dev and v9 test data for English/Chinese/Arabic and corrected version v12 train/dev/test data (English only).\n\nThe source of data is the Mendeley Data repo [ontonotes-conll2012](https://data.mendeley.com/datasets/zmycy7t9h9), which seems to be as the same as the official data, but users should use this dataset on their own responsibility.\n\nSee also summaries from paperwithcode, [OntoNotes 5.0](https://paperswithcode.com/dataset/ontonotes-5-0) and [CoNLL-2012](https://paperswithcode.com/dataset/conll-2012-1)\n\nFor more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.\n", "citation": "@inproceedings{pradhan-etal-2013-towards,\n title = \"Towards Robust Linguistic Analysis using {O}nto{N}otes\",\n author = {Pradhan, Sameer and\n Moschitti, Alessandro and\n Xue, Nianwen and\n Ng, Hwee Tou and\n Bj{\"o}rkelund, Anders and\n Uryupina, Olga and\n Zhang, Yuchen and\n Zhong, Zhi},\n booktitle = \"Proceedings of the Seventeenth Conference on Computational Natural Language Learning\",\n month = aug,\n year = \"2013\",\n address = \"Sofia, Bulgaria\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/W13-3516\",\n pages = \"143--152\",\n}\n\nRalph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston. OntoNotes Release 5.0 LDC2013T19. Web Download. Philadelphia: Linguistic Data Consortium, 2013.\n", "homepage": "https://conll.cemantix.org/2012/introduction.html", "license": "", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentences": [{"part_id": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 36, "names": ["X", "AD", "AS", "BA", "CC", "CD", "CS", "DEC", "DEG", "DER", "DEV", "DT", "ETC", "FW", "IJ", "INF", "JJ", "LB", "LC", "M", "MSP", "NN", "NR", "NT", "OD", "ON", "P", "PN", "PU", "SB", "SP", "URL", "VA", "VC", "VE", "VV"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "parse_tree": {"dtype": "string", "id": null, "_type": "Value"}, "predicate_lemmas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "predicate_framenet_ids": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "word_senses": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "named_entities": {"feature": {"num_classes": 37, "names": ["O", "B-PERSON", "I-PERSON", "B-NORP", "I-NORP", "B-FAC", "I-FAC", "B-ORG", "I-ORG", "B-GPE", "I-GPE", "B-LOC", "I-LOC", "B-PRODUCT", "I-PRODUCT", "B-DATE", "I-DATE", "B-TIME", "I-TIME", "B-PERCENT", "I-PERCENT", "B-MONEY", "I-MONEY", "B-QUANTITY", "I-QUANTITY", "B-ORDINAL", "I-ORDINAL", "B-CARDINAL", "I-CARDINAL", "B-EVENT", "I-EVENT", "B-WORK_OF_ART", "I-WORK_OF_ART", "B-LAW", "I-LAW", "B-LANGUAGE", "I-LANGUAGE"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "srl_frames": [{"verb": {"dtype": "string", "id": null, "_type": "Value"}, "frames": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}], "coref_spans": {"feature": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "conll2012_ontonotesv5", "config_name": "chinese_v4", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 77195698, "num_examples": 1391, "dataset_name": "conll2012_ontonotesv5"}, "validation": {"name": "validation", "num_bytes": 10828169, "num_examples": 172, "dataset_name": "conll2012_ontonotesv5"}, "test": {"name": "test", "num_bytes": 9585138, "num_examples": 166, "dataset_name": "conll2012_ontonotesv5"}}, "download_checksums": {"https://data.mendeley.com/public-files/datasets/zmycy7t9h9/files/b078e1c4-f7a4-4427-be7f-9389967831ef/file_downloaded": {"num_bytes": 193644139, "checksum": "24115e5bd97a50560259346d4ef27ed0339228a6ccd80f5c59f05111b9355f8e"}}, "download_size": 193644139, "post_processing_size": null, "dataset_size": 97609005, "size_in_bytes": 291253144}, "arabic_v4": {"description": "OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,\nmultilingual corpus manually annotated with syntactic, semantic and discourse information.\n\nThis dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.\nIt includes v4 train/dev and v9 test data for English/Chinese/Arabic and corrected version v12 train/dev/test data (English only).\n\nThe source of data is the Mendeley Data repo [ontonotes-conll2012](https://data.mendeley.com/datasets/zmycy7t9h9), which seems to be as the same as the official data, but users should use this dataset on their own responsibility.\n\nSee also summaries from paperwithcode, [OntoNotes 5.0](https://paperswithcode.com/dataset/ontonotes-5-0) and [CoNLL-2012](https://paperswithcode.com/dataset/conll-2012-1)\n\nFor more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.\n", "citation": "@inproceedings{pradhan-etal-2013-towards,\n title = \"Towards Robust Linguistic Analysis using {O}nto{N}otes\",\n author = {Pradhan, Sameer and\n Moschitti, Alessandro and\n Xue, Nianwen and\n Ng, Hwee Tou and\n Bj{\"o}rkelund, Anders and\n Uryupina, Olga and\n Zhang, Yuchen and\n Zhong, Zhi},\n booktitle = \"Proceedings of the Seventeenth Conference on Computational Natural Language Learning\",\n month = aug,\n year = \"2013\",\n address = \"Sofia, Bulgaria\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/W13-3516\",\n pages = \"143--152\",\n}\n\nRalph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston. OntoNotes Release 5.0 LDC2013T19. Web Download. Philadelphia: Linguistic Data Consortium, 2013.\n", "homepage": "https://conll.cemantix.org/2012/introduction.html", "license": "", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentences": [{"part_id": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "parse_tree": {"dtype": "string", "id": null, "_type": "Value"}, "predicate_lemmas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "predicate_framenet_ids": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "word_senses": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "named_entities": {"feature": {"num_classes": 37, "names": ["O", "B-PERSON", "I-PERSON", "B-NORP", "I-NORP", "B-FAC", "I-FAC", "B-ORG", "I-ORG", "B-GPE", "I-GPE", "B-LOC", "I-LOC", "B-PRODUCT", "I-PRODUCT", "B-DATE", "I-DATE", "B-TIME", "I-TIME", "B-PERCENT", "I-PERCENT", "B-MONEY", "I-MONEY", "B-QUANTITY", "I-QUANTITY", "B-ORDINAL", "I-ORDINAL", "B-CARDINAL", "I-CARDINAL", "B-EVENT", "I-EVENT", "B-WORK_OF_ART", "I-WORK_OF_ART", "B-LAW", "I-LAW", "B-LANGUAGE", "I-LANGUAGE"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "srl_frames": [{"verb": {"dtype": "string", "id": null, "_type": "Value"}, "frames": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}], "coref_spans": {"feature": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "conll2012_ontonotesv5", "config_name": "arabic_v4", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 42017761, "num_examples": 359, "dataset_name": "conll2012_ontonotesv5"}, "validation": {"name": "validation", "num_bytes": 4859292, "num_examples": 44, "dataset_name": "conll2012_ontonotesv5"}, "test": {"name": "test", "num_bytes": 4900664, "num_examples": 44, "dataset_name": "conll2012_ontonotesv5"}}, "download_checksums": {"https://data.mendeley.com/public-files/datasets/zmycy7t9h9/files/b078e1c4-f7a4-4427-be7f-9389967831ef/file_downloaded": {"num_bytes": 193644139, "checksum": "24115e5bd97a50560259346d4ef27ed0339228a6ccd80f5c59f05111b9355f8e"}}, "download_size": 193644139, "post_processing_size": null, "dataset_size": 51777717, "size_in_bytes": 245421856}, "english_v12": {"description": "OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,\nmultilingual corpus manually annotated with syntactic, semantic and discourse information.\n\nThis dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.\nIt includes v4 train/dev and v9 test data for English/Chinese/Arabic and corrected version v12 train/dev/test data (English only).\n\nThe source of data is the Mendeley Data repo [ontonotes-conll2012](https://data.mendeley.com/datasets/zmycy7t9h9), which seems to be as the same as the official data, but users should use this dataset on their own responsibility.\n\nSee also summaries from paperwithcode, [OntoNotes 5.0](https://paperswithcode.com/dataset/ontonotes-5-0) and [CoNLL-2012](https://paperswithcode.com/dataset/conll-2012-1)\n\nFor more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.\n", "citation": "@inproceedings{pradhan-etal-2013-towards,\n title = \"Towards Robust Linguistic Analysis using {O}nto{N}otes\",\n author = {Pradhan, Sameer and\n Moschitti, Alessandro and\n Xue, Nianwen and\n Ng, Hwee Tou and\n Bj{\"o}rkelund, Anders and\n Uryupina, Olga and\n Zhang, Yuchen and\n Zhong, Zhi},\n booktitle = \"Proceedings of the Seventeenth Conference on Computational Natural Language Learning\",\n month = aug,\n year = \"2013\",\n address = \"Sofia, Bulgaria\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/W13-3516\",\n pages = \"143--152\",\n}\n\nRalph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston. OntoNotes Release 5.0 LDC2013T19. Web Download. Philadelphia: Linguistic Data Consortium, 2013.\n", "homepage": "https://conll.cemantix.org/2012/introduction.html", "license": "", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentences": [{"part_id": {"dtype": "int32", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 51, "names": ["XX", "``", "$", "''", "*", ",", "-LRB-", "-RRB-", ".", ":", "ADD", "AFX", "CC", "CD", "DT", "EX", "FW", "HYPH", "IN", "JJ", "JJR", "JJS", "LS", "MD", "NFP", "NN", "NNP", "NNPS", "NNS", "PDT", "POS", "PRP", "PRP$", "RB", "RBR", "RBS", "RP", "SYM", "TO", "UH", "VB", "VBD", "VBG", "VBN", "VBP", "VBZ", "VERB", "WDT", "WP", "WP$", "WRB"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "parse_tree": {"dtype": "string", "id": null, "_type": "Value"}, "predicate_lemmas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "predicate_framenet_ids": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "word_senses": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "named_entities": {"feature": {"num_classes": 37, "names": ["O", "B-PERSON", "I-PERSON", "B-NORP", "I-NORP", "B-FAC", "I-FAC", "B-ORG", "I-ORG", "B-GPE", "I-GPE", "B-LOC", "I-LOC", "B-PRODUCT", "I-PRODUCT", "B-DATE", "I-DATE", "B-TIME", "I-TIME", "B-PERCENT", "I-PERCENT", "B-MONEY", "I-MONEY", "B-QUANTITY", "I-QUANTITY", "B-ORDINAL", "I-ORDINAL", "B-CARDINAL", "I-CARDINAL", "B-EVENT", "I-EVENT", "B-WORK_OF_ART", "I-WORK_OF_ART", "B-LAW", "I-LAW", "B-LANGUAGE", "I-LANGUAGE"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "srl_frames": [{"verb": {"dtype": "string", "id": null, "_type": "Value"}, "frames": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}], "coref_spans": {"feature": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "conll2012_ontonotesv5", "config_name": "english_v12", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 174173192, "num_examples": 10539, "dataset_name": "conll2012_ontonotesv5"}, "validation": {"name": "validation", "num_bytes": 24264804, "num_examples": 1370, "dataset_name": "conll2012_ontonotesv5"}, "test": {"name": "test", "num_bytes": 18254144, "num_examples": 1200, "dataset_name": "conll2012_ontonotesv5"}}, "download_checksums": {"https://data.mendeley.com/public-files/datasets/zmycy7t9h9/files/b078e1c4-f7a4-4427-be7f-9389967831ef/file_downloaded": {"num_bytes": 193644139, "checksum": "24115e5bd97a50560259346d4ef27ed0339228a6ccd80f5c59f05111b9355f8e"}}, "download_size": 193644139, "post_processing_size": null, "dataset_size": 216692140, "size_in_bytes": 410336279}}