This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

Last update: Dec 13, 2022

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Overview

OpenWebText2

This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

Very briefly, OpenWebText2 is a large filtered dataset of text documents scraped from URL found on Reddit submisisons.

The plug and play version of OpenWebText2 contains:

17,103,059 documents
65.86GB uncompressed text

Download Dataset / Documentation

For further information please visit our documentation.

Acknowledgements

researcher2 Wrote much of this code, with inspiration and some straight copying of the scraping code found here.
sdtblck kindly put together the Colab notebook, and performed a chunk of the scraping.
leogao2 provided overall design guidance, lm_dataformat, and performed another chunk of scraping.
Colaboratory VMs helped us with about 10% of our overall scraping.
The Eye host our processed datasets.
Read The Docs host our documentation.

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Comments

Fixing an issue with sha256 checking

The pushshift.pushshift_to_sqlite method passes the arguments to best_download.download_file in a wrong order, and the code crashes. Hence, the dataset is not reproducible without this modification.

opened by ardacihaner 0

Releases(v1.0)

v1.0(Aug 29, 2021)

Initial Release.
Source code(tar.gz)
Source code(zip)

Owner

EleutherAI

GitHub Repository

Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

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This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

Related tags

Overview

OpenWebText2

Download Dataset / Documentation

Acknowledgements

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