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Nvidia and AI4Bharat release 2.8T token Indic dataset with open generation pipeline

By PulseAugur Editorial · [1 sources] ·

Nvidia and AI4Bharat have collaborated to create Nemotron-pretraining-Indic-v1, a dataset comprising approximately 2.8 trillion tokens across 22 Indian languages. This initiative aims to address the data scarcity issue for Indian languages, which hinders the development of advanced AI models. The project also includes an open-source, GPU-accelerated data generation pipeline, allowing developers to replicate, adapt, and expand upon the process for their own needs. AI

IMPACT Provides a significant new resource for training AI models in 22 Indian languages, potentially accelerating AI development and accessibility in those regions.

RANK_REASON Release of a large-scale dataset and associated data generation pipeline for multiple languages. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Nvidia and AI4Bharat release 2.8T token Indic dataset with open generation pipeline

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4 / 100
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Release of a large-scale dataset and associated data generation pipeline for multiple languages. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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COVERAGE [1]

  1. Hugging Face Blog TIER_1 English(EN) ·

    Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

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