{"id":863,"slug":"openlifescienceai--medmcqa","name":"medmcqa","author":"openlifescienceai","description":"\n\t\n\t\t\n\t\tDataset Card for MedMCQA\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nMedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.\nMedMCQA 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.\nEach 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.","tags":"[\"Task_categories:question-Answering\",\"Task_categories:multiple-Choice\",\"Task_ids:multiple-Choice-Qa\",\"Task_ids:open-Domain-Qa\",\"Annotations_creators:no-Annotation\",\"Language_creators:expert-Generated\"]","license":null,"framework":null,"parameters":null,"downloads":126691,"likes":235,"verified":0,"created_at":"2026-09-01 11:23:49","updated_at":"2026-09-01 11:23:49","source_url":"https://huggingface.co/datasets/openlifescienceai/medmcqa","source_platform":"huggingface","hf_repo_id":"openlifescienceai/medmcqa","ollama_name":"","category":"dataset","latest_version":"v1.0.0","version_count":1,"signature_count":1,"risk_level":null,"risk_score":null,"versions":[{"id":862,"model_id":863,"version":"v1.0.0","manifest_hash":"240980a7871d3900e1d2427c09384b7afd0482e4a174ce42b01f1d11be7b2347","file_count":0,"total_size":0,"r2_manifest_key":"manifests/datasets/openlifescienceai--medmcqa/v1.0.0.json","created_at":"2026-09-01 11:23:49"}],"files":[],"signatures":[{"id":1435,"version_id":862,"signer_did":"did:quantamrkt:registry:shield-v1","algorithm":"ML-DSA-65","signature_hex":"8d3544f399c55ee2c7ebdc15cd311dbd4e3fc6ba565fcaee1f5ef6186a36cb22","attestation_type":"registry","signed_at":"2026-09-01 11:23:49"}],"hndl":null}