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OSCAR

The OSCAR corpus is a multilingual web corpus that is used for pre-training large generative language models. It is a document-oriented corpus that is comparable in size and language size distribution to OSCAR 21.09.

Data and Resources

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Cite this as

Julien Launay, Elena Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah (2024). Dataset: OSCAR. https://doi.org/10.57702/10zu2mjt

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Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2201.06642
Citation
  • https://doi.org/10.48550/arXiv.2306.15550
  • https://doi.org/10.48550/arXiv.2010.03813
Author Julien Launay
More Authors
Elena Tommasone
Baptiste Pannier
François Boniface
Amélie Chatelain
Alessandro Cappelli
Iacopo Poli
Djamé Seddah
Homepage https://oscar.nlp.stanford.edu/