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Authors:
(1) Thuat Nguyen, Dept. of Computer Science, University of Oregon, OR, USA;
(2) Chien Van Nguyen, Dept. of Computer Science, University of Oregon, OR, USA;
(3) Viet Dac Lai, Dept. of Computer Science, University of Oregon, OR, USA;
(4) Hieu Man, Dept. of Computer Science, University of Oregon, OR, USA;
(5) Nghia Trung Ngo, Dept. of Computer Science, University of Oregon, OR, USA;
(6) Franck Dernoncourt, Adobe Research, USA;
(7) Ryan A. Rossi, Adobe Research, USA;
(8) Thien Huu Nguyen, Dept. of Computer Science, University of Oregon, OR, USA.
We present CulturaX, a novel multilingual dataset with text data for 167 languages. Our dataset is cleaned and deduplicated via a comprehensive pipeline, producing 6.3 trillion tokens. CulturaX is thus a large-scale and high-quality dataset, which can be readily used to train high-performing LLMs for multiple languages. Our data is openly accessible to the public to promote further research and applications of multilingual learning.
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