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Published directly by Hugging Face.
Researchers have developed a pretraining dataset and pipeline for Indic languages (languages of the Indian subcontinent) scaled to 2.8 trillion tokens. The work includes an open data generation pipeline, making the infrastructure and methodology available to the community.
Indic languages have historically received less computational attention than major global languages, so scaling pretraining resources addresses a gap in multilingual AI development. An open pipeline enables reproducible research and broader participation in developing language models for these languages.
| Age | -18.1 |
| Content type | 6 |
| Primary source | 20 |
| Total | 7.9 |
These components add up to 7.899999999999999, not 7.9. The total is what ordered your brief; the difference means a component was not recorded, so treat this breakdown as incomplete rather than as the whole reason.