Gabriel Kressin Palacios commited on
Commit
f3eff50
1 Parent(s): 183c5df

dl_manager fix, checksums update

Browse files
Files changed (3) hide show
  1. README.md +4 -4
  2. dataset_infos.json +1 -1
  3. wikitext_linked.py +7 -7
README.md CHANGED
@@ -95,8 +95,8 @@ English.
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  #### wikitext2
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- - **Size of downloaded dataset files:** ?
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- - **Size of the generated dataset:** ?
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  - **Total amount of disk used:** 197.2 MB
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  An example of 'validation' looks as follows.
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@@ -120,8 +120,8 @@ An example of 'validation' looks as follows.
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  #### wikitext103
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- - **Size of downloaded dataset files:** ?
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- - **Size of the generated dataset:** ?
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  - **Total amount of disk used:** 7.82 GB
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  An example of 'train' looks as follows.
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  ```
 
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  #### wikitext2
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+ - **Size of downloaded dataset files:** 27.3 MB
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+ - **Size of the generated dataset:** 197.2 MB
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  - **Total amount of disk used:** 197.2 MB
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  An example of 'validation' looks as follows.
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  #### wikitext103
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+ - **Size of downloaded dataset files:** 1.11 GB
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+ - **Size of the generated dataset:** 7.82 GB
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  - **Total amount of disk used:** 7.82 GB
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  An example of 'train' looks as follows.
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  ```
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"wikitext2": {"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. Dependency Relations, POS, NER tags are marked with trankit and\n entities are linked with entity-fishing.\n The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n\n@inproceedings{nguyen2021trankit,\n title={Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing},\n author={Nguyen, Minh Van and Lai, Viet Dac and Veyseh, Amir Pouran Ben and Nguyen, Thien Huu},\n booktitle=\"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations\",\n year={2021}\n}\n\n@misc{entity-fishing,\n title = {entity-fishing},\n howpublished = {\\url{https://github.com/kermitt2/entity-fishing}},\n publisher = {GitHub},\n year = {2016--2022},\n archivePrefix = {swh},\n eprint = {1:dir:cb0ba3379413db12b0018b7c3af8d0d2d864139c}\n}\n", "homepage": "", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "int64", "id": null, "_type": "Value"}, "tok_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_upos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_xpos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_dephead": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_deprel": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_lemma": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_wikipedia_external_ref": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_domains": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext_linked", "config_name": "wikitext2", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 168970698, "num_examples": 82649, "dataset_name": "wikitext_linked"}, "validation": {"name": "validation", "num_bytes": 17702375, "num_examples": 8606, "dataset_name": "wikitext_linked"}, "test": {"name": "test", "num_bytes": 20013719, "num_examples": 10062, "dataset_name": "wikitext_linked"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 206686792, "size_in_bytes": 206686792}, "wikitext103": {"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. Dependency Relations, POS, NER tags are marked with trankit and\n entities are linked with entity-fishing.\n The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n\n@inproceedings{nguyen2021trankit,\n title={Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing},\n author={Nguyen, Minh Van and Lai, Viet Dac and Veyseh, Amir Pouran Ben and Nguyen, Thien Huu},\n booktitle=\"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations\",\n year={2021}\n}\n\n@misc{entity-fishing,\n title = {entity-fishing},\n howpublished = {\\url{https://github.com/kermitt2/entity-fishing}},\n publisher = {GitHub},\n year = {2016--2022},\n archivePrefix = {swh},\n eprint = {1:dir:cb0ba3379413db12b0018b7c3af8d0d2d864139c}\n}\n", "homepage": "", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "int64", "id": null, "_type": "Value"}, "tok_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_upos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_xpos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_dephead": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_deprel": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_lemma": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_wikipedia_external_ref": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_domains": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext_linked", "config_name": "wikitext103", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8356828955, "num_examples": 4076530, "dataset_name": "wikitext_linked"}, "validation": {"name": "validation", "num_bytes": 17702461, "num_examples": 8607, "dataset_name": "wikitext_linked"}, "test": {"name": "test", "num_bytes": 20013609, "num_examples": 10062, "dataset_name": "wikitext_linked"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 8394545025, "size_in_bytes": 8394545025}}
 
1
+ {"wikitext2": {"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. Dependency Relations, POS, NER tags are marked with trankit and\n entities are linked with entity-fishing.\n The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n\n@inproceedings{nguyen2021trankit,\n title={Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing},\n author={Nguyen, Minh Van and Lai, Viet Dac and Veyseh, Amir Pouran Ben and Nguyen, Thien Huu},\n booktitle=\"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations\",\n year={2021}\n}\n\n@misc{entity-fishing,\n title = {entity-fishing},\n howpublished = {\\url{https://github.com/kermitt2/entity-fishing}},\n publisher = {GitHub},\n year = {2016--2022},\n archivePrefix = {swh},\n eprint = {1:dir:cb0ba3379413db12b0018b7c3af8d0d2d864139c}\n}\n", "homepage": "https://github.com/GabrielKP/svo/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "int64", "id": null, "_type": "Value"}, "tok_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_upos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_xpos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_dephead": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_deprel": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_lemma": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_wikipedia_external_ref": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_domains": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext_linked", "config_name": "wikitext2", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 168970698, "num_examples": 82649, "dataset_name": "wikitext_linked"}, "validation": {"name": "validation", "num_bytes": 17702375, "num_examples": 8606, "dataset_name": "wikitext_linked"}, "test": {"name": "test", "num_bytes": 20013719, "num_examples": 10062, "dataset_name": "wikitext_linked"}}, "download_checksums": {"https://huggingface.co/datasets/gabrielkp/wikitext_linked/resolve/main/wikitext2.zip": {"num_bytes": 27293137, "checksum": "9887782ff6dad83530d7bb4b4d4b120f4c9c08749ecc97800fa38772f2748b2f"}}, "download_size": 27293137, "post_processing_size": null, "dataset_size": 206686792, "size_in_bytes": 233979929}, "wikitext103": {"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. Dependency Relations, POS, NER tags are marked with trankit and\n entities are linked with entity-fishing.\n The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n\n@inproceedings{nguyen2021trankit,\n title={Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing},\n author={Nguyen, Minh Van and Lai, Viet Dac and Veyseh, Amir Pouran Ben and Nguyen, Thien Huu},\n booktitle=\"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations\",\n year={2021}\n}\n\n@misc{entity-fishing,\n title = {entity-fishing},\n howpublished = {\\url{https://github.com/kermitt2/entity-fishing}},\n publisher = {GitHub},\n year = {2016--2022},\n archivePrefix = {swh},\n eprint = {1:dir:cb0ba3379413db12b0018b7c3af8d0d2d864139c}\n}\n", "homepage": "https://github.com/GabrielKP/svo/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "int64", "id": null, "_type": "Value"}, "tok_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_upos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_xpos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_dephead": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_deprel": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_lemma": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tok_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_span": {"feature": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_wikipedia_external_ref": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ent_domains": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext_linked", "config_name": "wikitext103", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8356828955, "num_examples": 4076530, "dataset_name": "wikitext_linked"}, "validation": {"name": "validation", "num_bytes": 17702461, "num_examples": 8607, "dataset_name": "wikitext_linked"}, "test": {"name": "test", "num_bytes": 20013609, "num_examples": 10062, "dataset_name": "wikitext_linked"}}, "download_checksums": {"https://huggingface.co/datasets/gabrielkp/wikitext_linked/resolve/main/wikitext103.zip": {"num_bytes": 1106715044, "checksum": "1f612dc1711160c9c65ee7d4fabd51bfce94ab972761195b4641a466d31e2e92"}}, "download_size": 1106715044, "post_processing_size": null, "dataset_size": 8394545025, "size_in_bytes": 9501260069}}
wikitext_linked.py CHANGED
@@ -82,7 +82,7 @@ FEATURES = datasets.Features(
82
  }
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  )
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85
- _URL = "https://huggingface.co/datasets/gabrielkp/wikitext_linked/raw/main/"
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87
 
88
  class WikitextLinked(datasets.ArrowBasedBuilder):
@@ -98,13 +98,13 @@ class WikitextLinked(datasets.ArrowBasedBuilder):
98
  name="wikitext2",
99
  version=VERSION,
100
  description="The small version",
101
- data_dir="wikitext2.zip",
102
  ),
103
  datasets.BuilderConfig(
104
  name="wikitext103",
105
  version=VERSION,
106
  description="The big version",
107
- data_dir="wikitext103.zip",
108
  ),
109
  ]
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@@ -119,27 +119,27 @@ class WikitextLinked(datasets.ArrowBasedBuilder):
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  )
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121
  def _split_generators(self, dl_manager):
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- data_dir = dl_manager.download_and_extract(f"{_URL}{self.config.data_dir}")
123
  return [
124
  datasets.SplitGenerator(
125
  name=datasets.Split.TRAIN,
126
  # These kwargs will be passed to _generate_examples
127
  gen_kwargs={
128
- "filepath": os.path.join(data_dir, "train.parquet"),
129
  },
130
  ),
131
  datasets.SplitGenerator(
132
  name=datasets.Split.VALIDATION,
133
  # These kwargs will be passed to _generate_examples
134
  gen_kwargs={
135
- "filepath": os.path.join(data_dir, "validation.parquet"),
136
  },
137
  ),
138
  datasets.SplitGenerator(
139
  name=datasets.Split.TEST,
140
  # These kwargs will be passed to _generate_examples
141
  gen_kwargs={
142
- "filepath": os.path.join(data_dir, "test.parquet"),
143
  },
144
  ),
145
  ]
 
82
  }
83
  )
84
 
85
+ _URL = "https://huggingface.co/datasets/gabrielkp/wikitext_linked/resolve/main/"
86
 
87
 
88
  class WikitextLinked(datasets.ArrowBasedBuilder):
 
98
  name="wikitext2",
99
  version=VERSION,
100
  description="The small version",
101
+ data_dir="wikitext2",
102
  ),
103
  datasets.BuilderConfig(
104
  name="wikitext103",
105
  version=VERSION,
106
  description="The big version",
107
+ data_dir="wikitext103",
108
  ),
109
  ]
110
 
 
119
  )
120
 
121
  def _split_generators(self, dl_manager):
122
+ data_dir = dl_manager.download_and_extract(f"{_URL}{self.config.data_dir}.zip")
123
  return [
124
  datasets.SplitGenerator(
125
  name=datasets.Split.TRAIN,
126
  # These kwargs will be passed to _generate_examples
127
  gen_kwargs={
128
+ "filepath": os.path.join(data_dir, self.config.data_dir, "train.parquet"),
129
  },
130
  ),
131
  datasets.SplitGenerator(
132
  name=datasets.Split.VALIDATION,
133
  # These kwargs will be passed to _generate_examples
134
  gen_kwargs={
135
+ "filepath": os.path.join(data_dir, self.config.data_dir, "validation.parquet"),
136
  },
137
  ),
138
  datasets.SplitGenerator(
139
  name=datasets.Split.TEST,
140
  # These kwargs will be passed to _generate_examples
141
  gen_kwargs={
142
+ "filepath": os.path.join(data_dir, self.config.data_dir, "test.parquet"),
143
  },
144
  ),
145
  ]