quantiles/medmcqa

MedMCQA是一个大规模的多选题问答（MCQA）数据集，旨在处理现实世界中的医学入学考试问题。该数据集包含超过194,000个高质量的AIIMS和NEET PG入学考试多选题，涵盖2,400个医疗主题和21个医学学科，平均标记长度为12.77，并具有高主题多样性。每个样本包含一个问题、正确答案（或多个答案）以及其他选项，这需要更深层的语言理解，因为它在广泛的医学学科和主题中测试模型的10多种推理能力。本研究提供了解决方案的详细解释以及上述信息。MedMCQA为自然语言处理社区提供了一个开源数据集，预计将促进未来研究以实现更好的问答系统。数据集涵盖的主题包括麻醉学、解剖学、生物化学、牙科、耳鼻喉科、法医学、妇产科、内科、微生物学、眼科学、骨科、病理学、儿科学、药理学、生理学、精神病学、放射学、皮肤科、预防与社会医学以及外科学。MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. MedMCQA has more than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity. Each sample contains a question, correct answer(s), and other options which require a deeper language understanding as it tests the 10+ reasoning abilities of a model across a wide range of medical subjects & topics. A detailed explanation of the solution, along with the above information, is provided in this study. MedMCQA provides an open-source dataset for the Natural Language Processing community. It is expected that this dataset would facilitate future research toward achieving better QA systems. The dataset contains questions about the following topics: Anesthesia, Anatomy, Biochemistry, Dental, ENT, Forensic Medicine (FM), Obstetrics and Gynecology (O&G), Medicine, Microbiology, Ophthalmology, Orthopedics, Pathology, Pediatrics, Pharmacology, Physiology, Psychiatry, Radiology, Skin, Preventive & Social Medicine (PSM), Surgery.