医疗大模型监督微调数据集

数据规模达到50万条，覆盖40余个科室、超千种疾病，涉及80余个字段。该数据集不仅数据准确率高达90%以上，而且覆盖了诊断、检查、检验、手术等多个关键环节的信息，为智能辅助诊断、编码等医学场景提供了有力支持。

This dataset consists of 500,000 records, covering over 40 medical departments and more than 1,000 diseases, with over 80 fields involved. It has an accuracy rate of over 90%, and covers information from multiple key stages including diagnosis, examination, laboratory testing, surgery and other aspects, providing strong support for medical scenarios such as intelligent auxiliary diagnosis and medical coding.