Update files from the datasets library (from 1.16.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.16.0

README.md

@@ -1,7 +1,25 @@
 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- crowdsourced
 languages:
 - en
+licenses:
+- cc-by-sa-3-0
+- gfdl-1-3-or-later
+multilinguality:
+- monolingual
 paperswithcode_id: wikitext-2
+pretty_name: WikiText
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
 ---
 
 # Dataset Card for "wikitext"
@@ -34,8 +52,8 @@ paperswithcode_id: wikitext-2
 
 - **Homepage:** [https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/](https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/)
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [Pointer Sentinel Mixture Models](https://arxiv.org/abs/1609.07843)
+- **Point of Contact:** [Stephen Merity](mailto:smerity@salesforce.com)
 - **Size of downloaded dataset files:** 373.28 MB
 - **Size of the generated dataset:** 1072.25 MB
 - **Total amount of disk used:** 1445.53 MB
@@ -45,6 +63,11 @@ paperswithcode_id: wikitext-2
  The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
  Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
 
+Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over
+110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation
+and numbers - all of which are removed in PTB. As it is composed of full articles, the dataset is well suited for models
+that can take advantage of long term dependencies.
+
 ### Supported Tasks and Leaderboards
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -196,16 +219,19 @@ The data fields are the same among all splits.
 
 ### Licensing Information
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+The dataset is available under the [Creative Commons Attribution-ShareAlike License (CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/).
 
 ### Citation Information
 
 ```
-@InProceedings{wikitext,
-    author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}
-    year=2016
+@misc{merity2016pointer,
+      title={Pointer Sentinel Mixture Models},
+      author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
+      year={2016},
+      eprint={1609.07843},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
-
 ```
 
 

dataset_infos.json

@@ -1 +1 @@
-{"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}}
+{"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\n 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", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext", "config_name": "wikitext-103-v1", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1295579, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 545142639, "num_examples": 1801350, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1154755, "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, "post_processing_size": null, "dataset_size": 547592973, "size_in_bytes": 737822049}, "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\n 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", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext", "config_name": "wikitext-2-v1", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1270951, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 10918134, "num_examples": 36718, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1134127, "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, "post_processing_size": null, "dataset_size": 13323212, "size_in_bytes": 17798958}, "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\n 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", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext", "config_name": "wikitext-103-raw-v1", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1305092, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 546501673, "num_examples": 1801350, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1159292, "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, "post_processing_size": null, "dataset_size": 548966057, "size_in_bytes": 740951006}, "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\n 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", "homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/", "license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wikitext", "config_name": "wikitext-2-raw-v1", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1305092, "num_examples": 4358, "dataset_name": "wikitext"}, "train": {"name": "train", "num_bytes": 11061733, "num_examples": 36718, "dataset_name": "wikitext"}, "validation": {"name": "validation", "num_bytes": 1159292, "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, "post_processing_size": null, "dataset_size": 13526117, "size_in_bytes": 18247762}}

wikitext.py

@@ -6,20 +6,24 @@ import os
 import datasets
 
 
-# TODO(wikitext): BibTeX citation
 _CITATION = """\
-@InProceedings{wikitext,
-    author={Stephen, Merity and Caiming ,Xiong and James, Bradbury and Richard Socher}
-    year={2016}
+@misc{merity2016pointer,
+      title={Pointer Sentinel Mixture Models},
+      author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
+      year={2016},
+      eprint={1609.07843},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
 """
 
-# TODO(wikitext):
 _DESCRIPTION = """\
  The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
- Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
+ Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike
+ License.
 """
-_URL = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
+_HOMEPAGE = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
+_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
 _DATA_URL = "https://s3.amazonaws.com/research.metamind.io/wikitext"
 
 
@@ -49,25 +53,25 @@ class Wikitext(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("0.1.0")
     BUILDER_CONFIGS = [
         WikitextConfig(
-            name="wikitext-103-raw-v1",
-            data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
-            description="word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
+            name="wikitext-103-v1",
+            data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
+            description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
         ),
         WikitextConfig(
-            name="wikitext-2-raw-v1",
-            data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
-            description="word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
+            name="wikitext-2-v1",
+            data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
+            description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
         ),
         WikitextConfig(
-            name="wikitext-103-v1",
-            data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
-            description="raw level dataset. The raw tokens before the addition of <unk> tokens. "
+            name="wikitext-103-raw-v1",
+            data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
+            description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
             "They should only be used for character level work or for creating newly derived datasets.",
         ),
         WikitextConfig(
-            name="wikitext-2-v1",
-            data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
-            description="raw level dataset. The raw tokens before the addition of <unk> tokens. "
+            name="wikitext-2-raw-v1",
+            data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
+            description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
             "They should only be used for character level work or for creating newly derived datasets.",
         ),
     ]
@@ -88,8 +92,8 @@ class Wikitext(datasets.GeneratorBasedBuilder):
             # specify them here. They'll be used if as_supervised=True in
             # builder.as_dataset.
             supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage=_URL,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
             citation=_CITATION,
         )