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satyajitdas/bharatschemes-v1

BharatSchemes Dataset v1 India's first comprehensive instruction-tuning dataset for government welfare schemes, state programs, and corporate CSR/NGO initiatives. Overview This dataset contains 2029 instruction-following Q&A pairs covering: Category Coverage Central Government Schemes MyScheme.gov.in (3000+ schemes) State Government Schemes All 28 states + 8 UTs Corporate CSR Programs Tata, Infosys, Wipro, Reliance, Azim Premji, Adani, Mahindra… See the full description on the dataset page: https://huggingface.co/datasets/satyajitdas/bharatschemes-v1.

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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BharatSchemes Dataset v1

India's first comprehensive instruction-tuning dataset for government welfare schemes, state programs, and corporate CSR/NGO initiatives.

Overview

This dataset contains 2029 instruction-following Q&A pairs covering:

CategoryCoverage
Central Government SchemesMyScheme.gov.in (3000+ schemes)
State Government SchemesAll 28 states + 8 UTs
Corporate CSR ProgramsTata, Infosys, Wipro, Reliance, Azim Premji, Adani, Mahindra
NGO InitiativesPratham, Akshaya Patra, GiveIndia, Teach For India, CRY, Goonj
Multilateral ProgramsUNDP India

What Makes This Unique

  1. 1.Persona-based queries: "I'm a 30-year-old woman farmer in Rajasthan. What schemes can help me?"
  2. 2.Cross-state comparisons: "Compare health insurance schemes across states"
  3. 3.Application guidance: Step-by-step process for each scheme
  4. 4.Unified coverage: Central + State + CSR + NGO in one dataset (first of its kind)

Format

ChatML format (compatible with MLX, Axolotl, LLaMA-Factory):

json
{
  "messages": [
    {"role": "system", "content": "You are BharatSchemes Assistant..."},
    {"role": "user", "content": "What is PM-KISAN?"},
    {"role": "assistant", "content": "PM-KISAN is..."}
  ]
}

Splits

  • —train.jsonl: 1927 examples
  • —valid.jsonl: 102 examples

Usage

python
from datasets import load_dataset
ds = load_dataset("satyajitdas/bharatschemes-v1")

Author

Satyajit Das (IIT Kharagpur alumnus)

  • —Cambridge PhD in Engineering
  • —Consensus Engineer @ Offchain Labs (Ethereum / Prysm)
  • —Protocol Guild Member
  • —Publication: Science (nano architecture, ~1000 citations)

Citation

bibtex
@dataset{bharatschemes2026,
  title={BharatSchemes: Instruction Dataset for Indian Welfare Scheme Navigation},
  author={Das, Satyajit},
  year={2026},
  url={https://huggingface.co/datasets/satyajitdas/bharatschemes-v1}
}

License

Apache 2.0. Source data from public government websites.