albertvillanova HF staff commited on
Commit
b98072b
1 Parent(s): 1b317da

Support streaming conll2012_ontonotesv5 dataset (#4002)

Browse files

* Make conll2012_ontonotesv5 dataset streamable

* Update metadata JSON

* Update dummy data

* Update dummy data for slow CI tests

Commit from https://github.com/huggingface/datasets/commit/f1692ca497c7bc5a20e02e94b6eb76ba6a9ed197

conll2012_ontonotesv5.py CHANGED
@@ -14,9 +14,9 @@
14
  # limitations under the License.
15
  """CoNLL2012 shared task data based on OntoNotes 5.0"""
16
 
 
17
  import os
18
  from collections import defaultdict
19
- from glob import glob
20
  from typing import DefaultDict, Iterator, List, Optional, Tuple
21
 
22
  import datasets
@@ -63,7 +63,7 @@ See also summaries from paperwithcode, [OntoNotes 5.0](https://paperswithcode.co
63
  For more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.
64
  """
65
 
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- _URL = "https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/zmycy7t9h9-1.zip"
67
 
68
 
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  class Conll2012Ontonotesv5Config(datasets.BuilderConfig):
@@ -153,9 +153,7 @@ class Conll2012Ontonotesv5(datasets.GeneratorBasedBuilder):
153
  lang = self.config.language
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  conll_version = self.config.conll_version
155
  dl_dir = dl_manager.download_and_extract(_URL)
156
- data_zip = glob(os.path.join(dl_dir, "**/conll-2012*"), recursive=True)[0]
157
- ext_dir = dl_manager.extract(data_zip)
158
- data_dir = os.path.join(ext_dir, f"conll-2012/{conll_version}/data")
159
 
160
  return [
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  datasets.SplitGenerator(
@@ -173,8 +171,7 @@ class Conll2012Ontonotesv5(datasets.GeneratorBasedBuilder):
173
  ]
174
 
175
  def _generate_examples(self, conll_files_directory):
176
- """Yields examples."""
177
- conll_files = sorted(glob(os.path.join(conll_files_directory, "**/*gold_conll"), recursive=True))
178
  for idx, conll_file in enumerate(conll_files):
179
  sentences = []
180
  for sent in Ontonotes().sentence_iterator(conll_file):
 
14
  # limitations under the License.
15
  """CoNLL2012 shared task data based on OntoNotes 5.0"""
16
 
17
+ import glob
18
  import os
19
  from collections import defaultdict
 
20
  from typing import DefaultDict, Iterator, List, Optional, Tuple
21
 
22
  import datasets
 
63
  For more detailed info of the dataset like annotation, tag set, etc., you can refer to the documents in the Mendeley repo mentioned above.
64
  """
65
 
66
+ _URL = "https://data.mendeley.com/public-files/datasets/zmycy7t9h9/files/b078e1c4-f7a4-4427-be7f-9389967831ef/file_downloaded"
67
 
68
 
69
  class Conll2012Ontonotesv5Config(datasets.BuilderConfig):
 
153
  lang = self.config.language
154
  conll_version = self.config.conll_version
155
  dl_dir = dl_manager.download_and_extract(_URL)
156
+ data_dir = os.path.join(dl_dir, f"conll-2012/{conll_version}/data")
 
 
157
 
158
  return [
159
  datasets.SplitGenerator(
 
171
  ]
172
 
173
  def _generate_examples(self, conll_files_directory):
174
+ conll_files = sorted(glob.glob(os.path.join(conll_files_directory, "**/*gold_conll"), recursive=True))
 
175
  for idx, conll_file in enumerate(conll_files):
176
  sentences = []
177
  for sent in Ontonotes().sentence_iterator(conll_file):
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"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", "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_v4", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}, "validation": {"name": "validation", "num_bytes": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}, "test": {"name": "test", "num_bytes": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}}, "download_checksums": {"https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/zmycy7t9h9-1.zip": {"num_bytes": 183323987, "checksum": null}}, "download_size": 183323987, "post_processing_size": null, "dataset_size": 0, "size_in_bytes": 183323987}, "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": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}, "validation": {"name": "validation", "num_bytes": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}, "test": {"name": "test", "num_bytes": 0, "num_examples": 0, "dataset_name": "conll2012_ontonotesv5"}}, "download_checksums": {"https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/zmycy7t9h9-1.zip": {"num_bytes": 183323987, "checksum": null}}, "download_size": 183323987, "post_processing_size": null, "dataset_size": 0, "size_in_bytes": 183323987}, "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. 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OntoNotes Release 5.0 LDC2013T19. Web Download. 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Robert Belvin, Ann Houston. 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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. 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