README.md

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title: README
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🩹 MedInjection-FR

A French biomedical instruction dataset and model suite for studying how data provenance (native, synthetic, translated) impacts instruction-tuning of LLMs.

📊 Dataset Stats

Total size: 571,436 instruction–response pairs

Components:

• Native: 77,247
• Synthetic: 76,506
• Translated: 417,674

Tasks:

• MCQU (single-answer)
• MCQ (multi-answer)
• OEQ (open-ended)

Paper

@misc{belmadani2026medinjectionfrexploringrolenative,
      title={MedInjection-FR: Exploring the Role of Native, Synthetic, and Translated Data in Biomedical Instruction Tuning}, 
      author={Ikram Belmadani and Oumaima El Khettari and Pacôme Constant dit Beaufils and Benoit Favre and Richard Dufour},
      year={2026},
      eprint={2603.06905},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2603.06905}, 
}

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