Datasets:

Languages: en
Multilinguality: monolingual
Size Categories: 1M<n<10M
Licenses: cc0-1-0
Language Creators: found
Annotations Creators: no-annotation
Source Datasets: original
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Dataset Card for "openwebtext"

Dataset Summary

An open-source replication of the WebText dataset from OpenAI.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

plain_text

  • Size of downloaded dataset files: 12880.03 MB
  • Size of the generated dataset: 39769.50 MB
  • Total amount of disk used: 52649.52 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "text": "\"A magazine supplement with an image of Adolf Hitler and the title 'The Unreadable Book' is pictured in Berlin. No law bans “Mei..."
}

Data Fields

The data fields are the same among all splits.

plain_text

  • text: a string feature.

Data Splits

name train
plain_text 8013769

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

More Information Needed

Citation Information

@misc{Gokaslan2019OpenWeb,
    title={OpenWebText Corpus},
    author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
    howpublished{\url{http://Skylion007.github.io/OpenWebTextCorpus}},
    year={2019}
}

Contributions

Thanks to @richarddwang for adding this dataset.

Update on GitHub
Papers with Code

Models trained or fine-tuned on openwebtext