CrossNow/medical-question-answering-datasets

该数据集是一个医疗领域的问答数据集，包含多个子数据集，用于医疗问答和临床对话任务。数据集由多个来源组成，包括ChatDoctor（来自HealthcareMagic和iCliniq的对话数据）、Medical Meadow系列（涵盖CORD-19、健康建议、医学闪卡、MediQA、MedQA、MMLU、PubMed因果推断、WikiDoc和WikiDoc患者信息等多个医疗相关主题）。所有数据均以指令-输入-输出的格式组织，适用于训练医疗对话系统和问答模型。数据集总训练示例超过120万条，涵盖广泛的医疗知识和临床场景。

This dataset is a medical domain question-answering dataset comprising multiple sub-datasets for medical QA and clinical dialogue tasks. It consists of data from various sources, including ChatDoctor (dialogue data from HealthcareMagic and iCliniq) and the Medical Meadow series (covering multiple medical-related topics such as CORD-19, health advice, medical flashcards, MediQA, MedQA, MMLU, PubMed causal inference, WikiDoc, and WikiDoc patient information). All data is organized in an instruction-input-output format, suitable for training medical dialogue systems and QA models. The dataset contains over 1.2 million training examples in total, spanning a wide range of medical knowledge and clinical scenarios.