OpenMed/Medical-Reasoning-SFT-Qwen3-Next-80B

一个大规模医学推理数据集，使用Qwen/Qwen3-Next-80B-A3B-Thinking模型生成，包含超过604,000个样本，每个样本都带有详细的医学和健康问题的思维链推理。数据集采用对话消息格式，包含系统、用户和助理角色，其中助理消息包含详细的内容和推理内容。适用于微调医学推理模型、思维链训练、医学问答系统构建和研究。A large-scale medical reasoning dataset generated using Qwen/Qwen3-Next-80B-A3B-Thinking, containing over 604,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions. The dataset follows a conversational messages format with system, user, and assistant roles, where assistant messages include both content and reasoning content. Intended for fine-tuning medical reasoning models, chain-of-thought training, building medical QA systems, and research.