theimc/Chatbot_data_patient

该数据集是一个针对非面对面诊疗环境设计的聊天机器人问答场景数据集，包含467个问题样本，适用于大型语言模型(LLM)的学习和评估。数据集按照5个层次的分类体系组织，涵盖信息类型、主要信息领域、详细信息类型、问题属性和详细属性。数据集已通过AI플러스 인증，可用于医疗专用聊天机器人的开发、RAG系统开发和性能评估及基准测试。

This dataset is designed for chatbot Q&A scenarios in non-face-to-face medical consultation environments, containing 467 question samples suitable for learning and evaluation with large language models (LLM). The dataset is organized according to a 5-level hierarchical classification system, covering information type, main information field, detailed information type, question attribute, and detailed attribute. The dataset has passed the AI플러스 certification and can be used for the development of medical-specific chatbots, RAG system development, and performance evaluation and benchmarking.