What is in the corpus? From English source documents to Indic training data The twelve-language workflow The ten-language workflow What changed after Indic continued pretraining? Broader Indic capabilities in Nemotron 3.5 Super VL Start building Load the corpus Adapt the generation recipe Scope and limitations Further reading and acknowledgments Native-script data for 22 languages, romanized data for twelve, and a reusable GPU-accelerated pipeline for translation, quality assessment, and repair.
Authors: AI4Bharat — Mohammed Safi Ur Rahman Khan, Mitesh Khapra, Anoop Kunchukuttan. NVIDIA — Niket Agarwal, Raviraj Joshi, Anusha Kamath, Markus Kliegl, Yev Meyer, Sriharsha Niverty, Kiran Praveen, Utkarsh Vaidya.
