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OSCAR 22.01

The OSCAR 22.01 corpus is a document-oriented corpus that is used for pre-training large generative language models. It is a multilingual corpus that contains documents holding lines in multiple languages.

Data and Resources

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Cite this as

Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, Benoît Sagot (2024). Dataset: OSCAR 22.01. https://doi.org/10.57702/x46uqzai

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2201.06642
Author	Julien Abadji
More Authors	Pedro Ortiz Suarez Laurent Romary Benoît Sagot
Homepage	https://oscar-corpus.com