MedMCQA

Dataset Card for MedMCQA
Dataset Summary
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
Supported Tasks and Leaderboards
multiple-choice-QA, open-domain-QA: The dataset can be used to train a model for multi-choice questions answering, open domain questions answering. Questions in these exams are challenging and generally require deeper domain and language understanding as it tests the 10+ reasoning abilities across a wide range of medical subjects & topics.

link:

https://huggingface.co/datasets/openlifescienceai/medmcqa