GetSoloTech/endocronology_evals

该数据集是一个包含医疗相关信息的文本数据集，其中包括模型名称、主题、主题描述、对话转录文本和结构化笔记。结构化笔记详细记录了患者的多项医疗信息，如主诉、现病史、饮食史、系统回顾、体格检查、实验室检查结果、病情评估和治疗计划等。此外，数据集还包含了微调后的响应，可能用于指导模型生成更合适的回复。数据集被划分为训练集，供模型训练使用。

This dataset is a collection of medical-related text information, including fields such as model name, topic, topic description, conversation transcripts, and structured notes. The structured notes meticulously record various medical information of the patients, such as chief complaints, history of presenting complaints, dietary history, review of systems, physical examination, lab results, assessment of the condition, and treatment plans. Moreover, the dataset contains fine-tuned responses, possibly used to guide the model in generating more appropriate replies. The dataset is split into a training set for model training purposes.