ReasonMed is currently the largest open source medical reasoning dataset, and the related paper results are:ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning", which aims to train and evaluate models for tasks such as medical question answering and text generation.

The dataset contains 370,000 high-quality question-answering examples, covering multiple fields such as clinical knowledge, anatomy, genetics, etc. The data is extracted from 1.75 million initial reasoning paths generated by three large language models (Qwen-2.5-72B, DeepSeek-R1-Distill-Llama-70B, and HuatuoGPT-o1-70B), and is refined through a rigorous multi-agent validation and optimization process.