Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
wikitext / README.md
albertvillanova's picture
Explain difference between raw/non-raw variants (#3)
f556296
|
raw
history blame
9.62 kB
metadata
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 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.

Each subset comes in two different variants:

  • Raw (for character level work) contain the raw tokens, before the addition of the (unknown) tokens.
  • Non-raw (for word level work) contain only the tokens in their vocabulary (wiki.train.tokens, wiki.valid.tokens, and wiki.test.tokens). The out-of-vocabulary tokens have been replaced with the the token.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

wikitext-103-raw-v1

  • Size of downloaded dataset files: 191.98 MB
  • Size of the generated dataset: 549.42 MB
  • Total amount of disk used: 741.41 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: 190.23 MB
  • Size of the generated dataset: 548.05 MB
  • Total amount of disk used: 738.27 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: 4.72 MB
  • Size of the generated dataset: 13.54 MB
  • Total amount of disk used: 18.26 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: 4.48 MB
  • Size of the generated dataset: 13.34 MB
  • Total amount of disk used: 17.82 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

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

The dataset is available under the Creative Commons Attribution-ShareAlike License (CC 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, @lewtun, @patrickvonplaten, @mariamabarham for adding this dataset.