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

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

DOI retrieved: December 2, 2024

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/