泌尿科多医学场景对话

收集的网络公开数据，仅用于大模型学习。本数据集为基于医疗泌尿专科知识构造的QA推理数据集，由蚂蚁集团医疗大模型团队（AntGroup Medical LLM）与上海交通大学医学院附属仁济医院泌尿科（Department of Urology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital)专家团队合作研发，简称为RJUA-QA Datasets。数据来源于医生参考临床经验中真实患者情况，改写的虚拟患者临床数据，不涉及任何医患隐私数据，经AI模型和专家团队处理校验，构建为问答对(Q-context-A)。

All collected data are publicly available online resources, solely for large language model learning purposes. This dataset is a QA reasoning dataset built upon specialized medical urology knowledge, co-developed by the AntGroup Medical LLM Team and the expert team of the Department of Urology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, and is abbreviated as RJUA-QA Datasets. The data is derived from virtual patient clinical data rewritten by physicians based on real patient cases referenced from their clinical practice, and contains no doctor-patient privacy information. It has been processed and verified by AI models and expert teams, and structured into question-context-answer (Q-context-A) pairs.

搜集汇总

背景与挑战

背景概述

该数据集名为'泌尿科多医学场景对话'，由LL1112贡献，发布于2025年6月10日，采用Apache License 2.0许可证，可通过ModelScope平台下载。