metadata
languages:
- en
paperswithcode_id: openwebtext
Dataset Card for "openwebtext"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://skylion007.github.io/OpenWebTextCorpus/
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 12283.35 MB
- Size of the generated dataset: 37927.15 MB
- Total amount of disk used: 50210.50 MB
Dataset Summary
An open-source replication of the WebText dataset from OpenAI.
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
plain_text
- Size of downloaded dataset files: 12283.35 MB
- Size of the generated dataset: 37927.15 MB
- Total amount of disk used: 50210.50 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: astringfeature.
Data Splits
| name | train |
|---|---|
| plain_text | 8013769 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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.