metadata
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: OpenWebText
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswithcode_id: openwebtext
dataset_info:
features:
- name: text
dtype: string
config_name: plain_text
splits:
- name: train
num_bytes: 39769494896
num_examples: 8013769
download_size: 12880027468
dataset_size: 39769494896
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: 12880.03 MB
- Size of the generated dataset: 39769.50 MB
- Total amount of disk used: 52649.52 MB
Dataset Summary
An open-source replication of the WebText dataset from OpenAI.
Supported Tasks and Leaderboards
Languages
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: 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.