医疗大模型医学事件检索增强数据集

本数据集是由我司构建的一个医疗文本数据集，用于大模型问答场景下的检索增强。数据集汇集了丰富的临床病例、诊断记录、治疗过程及患者反馈等多维度信息，旨在通过高度结构化的数据组织形式，模拟并优化复杂医疗场景下的信息检索与生成任务。数据集规模达到50余万条，涵盖120万次就诊数据。该数据可进行进一步向量化处理，进而用于大模型问答场景的检索增强.

This medical text dataset was developed by our company for retrieval augmentation in LLM-based question answering scenarios. It collects multi-dimensional information including abundant clinical cases, diagnostic records, treatment courses and patient feedback, aiming to simulate and optimize information retrieval and generation tasks in complex medical scenarios through highly structured data organization. The dataset contains over 500,000 entries, covering 1.2 million patient visit records. This data can be further vectorized for retrieval augmentation in LLM-based question answering scenarios.

搜集汇总

数据集介绍

特点

医疗大模型医学事件检索增强数据集是一个包含50余万条医疗文本数据的数据集，涵盖120万次就诊数据，用于大模型问答场景下的检索增强，支持精准医疗知识检索和辅助诊断等应用场景。