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Update files from the datasets library (from 1.0.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

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dataset_infos.json ADDED
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+ {"wikitext-103-raw-v1": {"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. The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@InProceedings{wikitext,\n author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}\n year=2016\n}\n", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wikitext", "config_name": "wikitext-103-raw-v1", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1306182, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 546951363, "num_examples": 1801350, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1160232, "num_examples": 3760, "dataset_name": "wikitext"}}, "download_checksums": {"https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-raw-v1.zip": {"num_bytes": 191984949, "checksum": "91c00ae287f0d699e18605c84afc9e45c192bc6b7797ff8837e5474655a33794"}}, "download_size": 191984949, "dataset_size": 549417777, "size_in_bytes": 741402726}, "wikitext-2-raw-v1": {"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. The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@InProceedings{wikitext,\n author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}\n year=2016\n}\n", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wikitext", "config_name": "wikitext-2-raw-v1", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1306182, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 11070901, "num_examples": 36718, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1160232, "num_examples": 3760, "dataset_name": "wikitext"}}, "download_checksums": {"https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip": {"num_bytes": 4721645, "checksum": "ef7edb566e3e2b2d31b29c1fdb0c89a4cc683597484c3dc2517919c615435a11"}}, "download_size": 4721645, "dataset_size": 13537315, "size_in_bytes": 18258960}, "wikitext-103-v1": {"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. The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@InProceedings{wikitext,\n author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}\n year=2016\n}\n", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wikitext", "config_name": "wikitext-103-v1", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1296669, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 545592329, "num_examples": 1801350, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1155695, "num_examples": 3760, "dataset_name": "wikitext"}}, "download_checksums": {"https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip": {"num_bytes": 190229076, "checksum": "242ba0f20b329cfdf1ccc61e9e9e5b59becf189db7f7a81cd2a0e2fc31539590"}}, "download_size": 190229076, "dataset_size": 548044693, "size_in_bytes": 738273769}, "wikitext-2-v1": {"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. The dataset is available under the Creative Commons Attribution-ShareAlike License.\n", "citation": "@InProceedings{wikitext,\n author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}\n year=2016\n}\n", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wikitext", "config_name": "wikitext-2-v1", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1272041, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 10927302, "num_examples": 36718, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1135067, "num_examples": 3760, "dataset_name": "wikitext"}}, "download_checksums": {"https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-v1.zip": {"num_bytes": 4475746, "checksum": "92675f1d63015c1c8b51f1656a52d5bdbc33aafa60cc47a218a66e7ee817488c"}}, "download_size": 4475746, "dataset_size": 13334410, "size_in_bytes": 17810156}}
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wikitext.py ADDED
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+ """TODO(wikitext): Add a description here."""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import os
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+
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+ import datasets
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+
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+
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+ # TODO(wikitext): BibTeX citation
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+ _CITATION = """\
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+ @InProceedings{wikitext,
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+ author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}
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+ year={2016}
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+ }
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+ """
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+
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+ # TODO(wikitext):
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+ _DESCRIPTION = """\
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+ The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
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+ Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
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+ """
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+ _URL = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
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+ _DATA_URL = "https://s3.amazonaws.com/research.metamind.io/wikitext"
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+
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+
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+ class WikitextConfig(datasets.BuilderConfig):
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+ """BuilderConfig for GLUE."""
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+
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+ def __init__(self, data_url, **kwargs):
31
+ """BuilderConfig for Wikitext
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+
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+ Args:
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+ data_url: `string`, url to the dataset (word or raw level)
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(WikitextConfig, self).__init__(
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+ version=datasets.Version(
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+ "1.0.0",
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+ ),
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+ **kwargs,
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+ )
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+ self.data_url = data_url
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+
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+
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+ class Wikitext(datasets.GeneratorBasedBuilder):
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+ """TODO(wikitext_103): Short description of my dataset."""
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+
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+ # TODO(wikitext_103): Set up version.
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+ VERSION = datasets.Version("0.1.0")
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+ BUILDER_CONFIGS = [
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+ WikitextConfig(
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+ name="wikitext-103-raw-v1",
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+ data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
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+ description="word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
56
+ ),
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+ WikitextConfig(
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+ name="wikitext-2-raw-v1",
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+ data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
60
+ description="word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
61
+ ),
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+ WikitextConfig(
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+ name="wikitext-103-v1",
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+ data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
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+ description="raw level dataset. The raw tokens before the addition of <unk> tokens. "
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+ "They should only be used for character level work or for creating newly derived datasets.",
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+ ),
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+ WikitextConfig(
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+ name="wikitext-2-v1",
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+ data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
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+ description="raw level dataset. The raw tokens before the addition of <unk> tokens. "
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+ "They should only be used for character level work or for creating newly derived datasets.",
73
+ ),
74
+ ]
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+
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+ def _info(self):
77
+ # TODO(wikitext): Specifies the datasets.DatasetInfo object
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+ return datasets.DatasetInfo(
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+ # This is the description that will appear on the datasets page.
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+ description=_DESCRIPTION,
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+ # datasets.features.FeatureConnectors
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+ features=datasets.Features(
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+ {
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+ "text": datasets.Value("string")
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+ # These are the features of your dataset like images, labels ...
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+ }
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+ ),
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+ # If there's a common (input, target) tuple from the features,
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+ # specify them here. They'll be used if as_supervised=True in
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+ # builder.as_dataset.
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+ supervised_keys=None,
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+ # Homepage of the dataset for documentation
93
+ homepage=_URL,
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+ citation=_CITATION,
95
+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
99
+ # TODO(wikitext): Downloads the data and defines the splits
100
+ # dl_manager is a datasets.download.DownloadManager that can be used to
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+ # download and extract URLs
102
+ if self.config.name == "wikitext-103-v1":
103
+ data_file = dl_manager.download_and_extract(self.config.data_url)
104
+ data_dir = os.path.join(data_file, "wikitext-103")
105
+ return [
106
+ datasets.SplitGenerator(
107
+ name=datasets.Split.TEST,
108
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
109
+ ),
110
+ datasets.SplitGenerator(
111
+ name=datasets.Split.TRAIN,
112
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
113
+ ),
114
+ datasets.SplitGenerator(
115
+ name=datasets.Split.VALIDATION,
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+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
117
+ ),
118
+ ]
119
+ else:
120
+ if self.config.name == "wikitext-103-raw-v1":
121
+ data_file = dl_manager.download_and_extract(self.config.data_url)
122
+ data_dir = os.path.join(data_file, "wikitext-103-raw")
123
+ return [
124
+ datasets.SplitGenerator(
125
+ name=datasets.Split.TEST,
126
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
127
+ ),
128
+ datasets.SplitGenerator(
129
+ name=datasets.Split.TRAIN,
130
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
131
+ ),
132
+ datasets.SplitGenerator(
133
+ name=datasets.Split.VALIDATION,
134
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
135
+ ),
136
+ ]
137
+ else:
138
+ if self.config.name == "wikitext-2-raw-v1":
139
+ data_file = dl_manager.download_and_extract(self.config.data_url)
140
+ data_dir = os.path.join(data_file, "wikitext-2-raw")
141
+ return [
142
+ datasets.SplitGenerator(
143
+ name=datasets.Split.TEST,
144
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
145
+ ),
146
+ datasets.SplitGenerator(
147
+ name=datasets.Split.TRAIN,
148
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
149
+ ),
150
+ datasets.SplitGenerator(
151
+ name=datasets.Split.VALIDATION,
152
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
153
+ ),
154
+ ]
155
+ else:
156
+ if self.config.name == "wikitext-2-v1":
157
+ data_file = dl_manager.download_and_extract(self.config.data_url)
158
+ data_dir = os.path.join(data_file, "wikitext-2")
159
+ return [
160
+ datasets.SplitGenerator(
161
+ name=datasets.Split.TEST,
162
+ gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
163
+ ),
164
+ datasets.SplitGenerator(
165
+ name=datasets.Split.TRAIN,
166
+ gen_kwargs={
167
+ "data_file": os.path.join(data_dir, "wiki.train.tokens"),
168
+ "split": "train",
169
+ },
170
+ ),
171
+ datasets.SplitGenerator(
172
+ name=datasets.Split.VALIDATION,
173
+ gen_kwargs={
174
+ "data_file": os.path.join(data_dir, "wiki.valid.tokens"),
175
+ "split": "valid",
176
+ },
177
+ ),
178
+ ]
179
+
180
+ def _generate_examples(self, data_file, split):
181
+
182
+ """Yields examples."""
183
+ # TODO(wikitext): Yields (key, example) tuples from the dataset
184
+ with open(data_file, encoding="utf-8") as f:
185
+ for idx, row in enumerate(f):
186
+ if row.strip():
187
+ yield idx, {"text": row}
188
+ else:
189
+ yield idx, {"text": ""}