medmcqa
Datasets
All datasets matching “medmcqa”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… See the full description on the dataset page: https://huggingface.co/datasets/openlifescienceai/medmcqa.med_mcqaFrom "MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering"
(Pal et al.), MedMCQA is a "multiple-choice question answering (MCQA) dataset designed to address
real-world medical entrance exam questions." The dataset "...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."
The following is an example from… See the full description on the dataset page: https://huggingface.co/datasets/lighteval/med_mcqa.MedMCQA-Mixtral-CoT
Dataset Card for medmcqa-cot
Synthetically enhanced responses to the medmcqa dataset using mixtral.
Dataset Details
Dataset Description
To increase the quality of answers from the training splits of the MedMCQA dataset, we leverage Mixtral-8x7B to generate Chain of Thought(CoT) answers. We create a custom prompt for the dataset, along with a
hand-crafted list of few-shot examples. For a multichoice answer, we ask the model to rephrase and explain the… See the full description on the dataset page: https://huggingface.co/datasets/HPAI-BSC/MedMCQA-Mixtral-CoT.medical-logits-phi3.5-mini_medmcqa_pubmmedmcqa-gen-by-zephyr-ft-gpqa-allMedMCQA
MedMCQA - Medical Multiple Choice Question Answering
Description
This dataset contains multiple choice questions from Indian medical entrance exams (AIIMS/NEET). Questions cover various medical subjects with detailed explanations. 16 reasoning traces were collected for each example in this task by sampling with DeepSeek-R1, available in the responses column. We greatly appreciate and build from the original data source available at… See the full description on the dataset page: https://huggingface.co/datasets/OctoMed/MedMCQA.