MedMCQA Dataset
The MedMCQA dataset is a resource for Multiple-Choice Question Answering (MCQA) in the medical domain, designed to tackle real-world medical entrance exam questions. It boasts over 194,000 questions from AIIMS & NEET PG exams, covering a broad spectrum of 2.4k healthcare topics across 21 medical subjects. Each entry in this English-language dataset includes a question, correct and incorrect answers, detailed explanations, testing knowledge, and reasoning abilities. MedMCQA is an open-source tool for developing and evaluating AI models in medical education and knowledge assessment, primarily aimed at the natural language processing community. It facilitates the comparison of different AI approaches through a leaderboard, making it a valuable asset for AI-driven medical research and development. https://medmcqa.github.io/
MedMCQA Dataset
Latest Posts
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Evaluating Large Language Models in Medicine: A Study on GPT-3.5 and GPT-4’s Accuracy in Answering Medical Questions
In a study exploring the use of Large Language Models (LLMs) like GPT-3.5 and GPT-4 for answering surgical questions from the MedMCQA dataset, GPT-3.5 and GPT-4 achieved accuracies of 53.3% and 64.4%, respectively, indicating significant differences in…

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