# Nemotron-Personas-India: Synthesized Data for Sovereign AI

[Hugging Face](https://yomu.fyi/company/hugging-face) · Kiran Praveen, Utkarsh Vaidya, Evan A, Lipika Ramaswamy, Dhruv Nathawani, Dane Corneil, Yev Meyer · Oct 13, 2025

**Type:** Announcement

## Summary

Most open artificial intelligence datasets reflect Western norms and English-only contexts, limiting model effectiveness across India's multilingual and multi-script landscape. To address this shortage of culturally grounded training data, NVIDIA released Nemotron-Personas-India under a CC BY 4.0 license. The synthetic dataset contains 21 million personas across 3 million records spanning 7.7 billion tokens in English, Devanagari Hindi, and Latin-script Hindi. The generation pipeline utilized NeMo Data Designer, an Apache-2.0 licensed Probabilistic Graphical Model for demographic grounding against 2011 Census distributions, and GPT-OSS-120B for narrative text. All records are entirely synthetic to eliminate re-identification risks while enabling fine-tuning for region-aware AI agents and domain-specific copilots.

## Context

Most open datasets reflect Western norms and English-only contexts, creating a data gap that limits AI adoption in India's multilingual, multi-script environment. Without representative datasets, AI systems struggle with code-switching, fail to understand regional occupations, and miss cultural context.

## Approach / What changed

NVIDIA generated Nemotron-Personas-India using NeMo Data Designer with Jinja templating, Pydantic validation, structured outputs, automated retries, an Apache-2.0 licensed Probabilistic Graphical Model for statistical grounding to official 2011 Census and Electoral Rolls distributions, and GPT-OSS-120B for narrative generation.

## Takeaways

- Nemotron-Personas-India contains 21 million total synthetic personas across 3 million records and 7.7 billion tokens, licensed under CC BY 4.0.
- The dataset covers English, Hindi in Devanagari script (4.7B tokens), and Hindi in Latin script (2B tokens) across all 36 Indian states and 640 districts.
- The pipeline relies on a Probabilistic Graphical Model for demographic statistical alignment and GPT-OSS-120B for synthetic narrative generation without real personal data.

**Tags:** [Data Pipelines](https://yomu.fyi/topic/data-pipelines), [LLMs](https://yomu.fyi/topic/llm), [Machine Learning](https://yomu.fyi/topic/machine-learning), [Open Source](https://yomu.fyi/topic/open-source), [Privacy](https://yomu.fyi/topic/privacy)

[Read original post](https://huggingface.co/blog/nvidia/nemotron-personas-india)