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README.md

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----
-annotations_creators:
-- no-annotation
-language_creators:
-- crowdsourced
-language:
-- en
-license:
-- cc-by-sa-3.0
-- gfdl
-multilinguality:
-- monolingual
-paperswithcode_id: wikitext-2
-pretty_name: WikiText
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-task_categories:
-- text-generation
-- fill-mask
-task_ids:
-- language-modeling
-- masked-language-modeling
-dataset_info:
-- config_name: wikitext-103-v1
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1295579
-    num_examples: 4358
-  - name: train
-    num_bytes: 545142639
-    num_examples: 1801350
-  - name: validation
-    num_bytes: 1154755
-    num_examples: 3760
-  download_size: 190229076
-  dataset_size: 547592973
-- config_name: wikitext-2-v1
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1270951
-    num_examples: 4358
-  - name: train
-    num_bytes: 10918134
-    num_examples: 36718
-  - name: validation
-    num_bytes: 1134127
-    num_examples: 3760
-  download_size: 4475746
-  dataset_size: 13323212
-- config_name: wikitext-103-raw-v1
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1305092
-    num_examples: 4358
-  - name: train
-    num_bytes: 546501673
-    num_examples: 1801350
-  - name: validation
-    num_bytes: 1159292
-    num_examples: 3760
-  download_size: 191984949
-  dataset_size: 548966057
-- config_name: wikitext-2-raw-v1
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1305092
-    num_examples: 4358
-  - name: train
-    num_bytes: 11061733
-    num_examples: 36718
-  - name: validation
-    num_bytes: 1159292
-    num_examples: 3760
-  download_size: 4721645
-  dataset_size: 13526117
----
-
-# Dataset Card for "wikitext"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **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:** [Pointer Sentinel Mixture Models](https://arxiv.org/abs/1609.07843)
-- **Point of Contact:** [Stephen Merity](mailto:[email protected])
-- **Size of downloaded dataset files:** 373.28 MB
-- **Size of the generated dataset:** 1072.25 MB
-- **Total amount of disk used:** 1445.53 MB
-
-### Dataset Summary
-
- 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)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### wikitext-103-raw-v1
-
-- **Size of downloaded dataset files:** 183.09 MB
-- **Size of the generated dataset:** 523.97 MB
-- **Total amount of disk used:** 707.06 MB
-
-An example of 'validation' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "text": "\" The gold dollar or gold one @-@ dollar piece was a coin struck as a regular issue by the United States Bureau of the Mint from..."
-}
-```
-
-#### wikitext-103-v1
-
-- **Size of downloaded dataset files:** 181.42 MB
-- **Size of the generated dataset:** 522.66 MB
-- **Total amount of disk used:** 704.07 MB
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "text": "\" Senjō no Valkyria 3 : <unk> Chronicles ( Japanese : 戦場のヴァルキュリア3 , lit . Valkyria of the Battlefield 3 ) , commonly referred to..."
-}
-```
-
-#### wikitext-2-raw-v1
-
-- **Size of downloaded dataset files:** 4.50 MB
-- **Size of the generated dataset:** 12.91 MB
-- **Total amount of disk used:** 17.41 MB
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "text": "\" The Sinclair Scientific Programmable was introduced in 1975 , with the same case as the Sinclair Oxford . It was larger than t..."
-}
-```
-
-#### wikitext-2-v1
-
-- **Size of downloaded dataset files:** 4.27 MB
-- **Size of the generated dataset:** 12.72 MB
-- **Total amount of disk used:** 16.99 MB
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "text": "\" Senjō no Valkyria 3 : <unk> Chronicles ( Japanese : 戦場のヴァルキュリア3 , lit . Valkyria of the Battlefield 3 ) , commonly referred to..."
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### wikitext-103-raw-v1
-- `text`: a `string` feature.
-
-#### wikitext-103-v1
-- `text`: a `string` feature.
-
-#### wikitext-2-raw-v1
-- `text`: a `string` feature.
-
-#### wikitext-2-v1
-- `text`: a `string` feature.
-
-### Data Splits
-
-|       name        | train |validation|test|
-|-------------------|------:|---------:|---:|
-|wikitext-103-raw-v1|1801350|      3760|4358|
-|wikitext-103-v1    |1801350|      3760|4358|
-|wikitext-2-raw-v1  |  36718|      3760|4358|
-|wikitext-2-v1      |  36718|      3760|4358|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-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
-
-```
-@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}
-}
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.

dataset_infos.json

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wikitext.py

@@ -1,192 +0,0 @@
-"""TODO(wikitext): Add a description here."""
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-@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}
-}
-"""
-
-_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.
-"""
-_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"
-
-
-class WikitextConfig(datasets.BuilderConfig):
-    """BuilderConfig for GLUE."""
-
-    def __init__(self, data_url, **kwargs):
-        """BuilderConfig for Wikitext
-
-        Args:
-          data_url: `string`, url to the dataset (word or raw level)
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(WikitextConfig, self).__init__(
-            version=datasets.Version(
-                "1.0.0",
-            ),
-            **kwargs,
-        )
-        self.data_url = data_url
-
-
-class Wikitext(datasets.GeneratorBasedBuilder):
-    """TODO(wikitext_103): Short description of my dataset."""
-
-    # TODO(wikitext_103): Set up version.
-    VERSION = datasets.Version("0.1.0")
-    BUILDER_CONFIGS = [
-        WikitextConfig(
-            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-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-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-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.",
-        ),
-    ]
-
-    def _info(self):
-        # TODO(wikitext): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string")
-                    # These are the features of your dataset like images, labels ...
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(wikitext): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        if self.config.name == "wikitext-103-v1":
-            data_file = dl_manager.download_and_extract(self.config.data_url)
-            data_dir = os.path.join(data_file, "wikitext-103")
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
-                ),
-            ]
-        else:
-            if self.config.name == "wikitext-103-raw-v1":
-                data_file = dl_manager.download_and_extract(self.config.data_url)
-                data_dir = os.path.join(data_file, "wikitext-103-raw")
-                return [
-                    datasets.SplitGenerator(
-                        name=datasets.Split.TEST,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
-                    ),
-                    datasets.SplitGenerator(
-                        name=datasets.Split.TRAIN,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
-                    ),
-                    datasets.SplitGenerator(
-                        name=datasets.Split.VALIDATION,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
-                    ),
-                ]
-            else:
-                if self.config.name == "wikitext-2-raw-v1":
-                    data_file = dl_manager.download_and_extract(self.config.data_url)
-                    data_dir = os.path.join(data_file, "wikitext-2-raw")
-                    return [
-                        datasets.SplitGenerator(
-                            name=datasets.Split.TEST,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
-                        ),
-                        datasets.SplitGenerator(
-                            name=datasets.Split.TRAIN,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
-                        ),
-                        datasets.SplitGenerator(
-                            name=datasets.Split.VALIDATION,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
-                        ),
-                    ]
-                else:
-                    if self.config.name == "wikitext-2-v1":
-                        data_file = dl_manager.download_and_extract(self.config.data_url)
-                        data_dir = os.path.join(data_file, "wikitext-2")
-                        return [
-                            datasets.SplitGenerator(
-                                name=datasets.Split.TEST,
-                                gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
-                            ),
-                            datasets.SplitGenerator(
-                                name=datasets.Split.TRAIN,
-                                gen_kwargs={
-                                    "data_file": os.path.join(data_dir, "wiki.train.tokens"),
-                                    "split": "train",
-                                },
-                            ),
-                            datasets.SplitGenerator(
-                                name=datasets.Split.VALIDATION,
-                                gen_kwargs={
-                                    "data_file": os.path.join(data_dir, "wiki.valid.tokens"),
-                                    "split": "valid",
-                                },
-                            ),
-                        ]
-
-    def _generate_examples(self, data_file, split):
-
-        """Yields examples."""
-        # TODO(wikitext): Yields (key, example) tuples from the dataset
-        with open(data_file, encoding="utf-8") as f:
-            for idx, row in enumerate(f):
-                if row.strip():
-                    yield idx, {"text": row}
-                else:
-                    yield idx, {"text": ""}