Introduction

This dataset is constructed using Qwen2.5-72B-Instruct and QwQ-32B-Preview, and it serves as the foundation for fine-tuning both FineMedLM and FineMedLM-o1.

This repository contains the SFT data used during the training process, including all medical data, fine-grained medical data, and thinking data. To use the dataset, simply download the jsonl file from the folder.

For details, see our paper and GitHub repository.

Citation

If you find our data useful, please consider citing our work!

@misc{yu2025finemedlmo1enhancingmedicalreasoning,
    title={FineMedLM-o1: Enhancing the Medical Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training}, 
    author={Hongzhou Yu and Tianhao Cheng and Ying Cheng and Rui Feng},
    year={2025},
    eprint={2501.09213},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2501.09213}, 
}