medical-o1-verifiable-problem
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## Introduction This dataset features open-ended medical problems designed to improve LLMs' medical reasoning. Each entry includes a open-ended question and a ground-truth answer based on challenging medical exams. The verifiable answers enable checking LLM outputs, refining their reasoning processes. For details, see our [paper](https://arxiv.org/pdf/2412.18925) and [GitHub repository](https://github.com/FreedomIntelligence/HuatuoGPT-o1). ## Citation If you find our data useful, please consider citing our work! ``` @misc{chen2024huatuogpto1medicalcomplexreasoning, title={HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs}, author={Junying Chen and Zhenyang Cai and Ke Ji and Xidong Wang and Wanlong Liu and Rongsheng Wang and Jianye Hou and Benyou Wang}, year={2024}, eprint={2412.18925}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2412.18925}, } ```
# 简介 本数据集收录旨在提升大语言模型(LLM)医学推理能力的开放式医学问题。每条数据均包含一道开放式问题与基于高难度医学考试构建的基准真值答案。可验证的基准真值答案可用于校验大语言模型的输出结果,优化其推理流程。 如需了解更多细节,请参阅我们的[论文](https://arxiv.org/pdf/2412.18925)与[GitHub仓库](https://github.com/FreedomIntelligence/HuatuoGPT-o1)。 # 引用 若您认为本数据集对您的研究有所帮助,请引用我们的工作! @misc{chen2024huatuogpto1medicalcomplexreasoning, title={HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs}, author={Junying Chen and Zhenyang Cai and Ke Ji and Xidong Wang and Wanlong Liu and Rongsheng Wang and Jianye Hou and Benyou Wang}, year={2024}, eprint={2412.18925}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2412.18925}, }




