{"url":"/dataset/medvidqa","name":"MedVidQA","full_name":"Medical Video Question Answering","description_markdown":"The MedVidQA dataset contains the collection of 3, 010 manually created health-related questions and timestamps as visual answers to those questions from trusted video sources, such as accredited medical schools with an established reputation, health institutes, health education, and medical practitioners.","description_withheld":null,"homepage":"","introduced_date":"2022-01-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-dataset-for-medical-instructional-video","title":"A Dataset for Medical Instructional Video Classification and Question Answering","first_author":"Deepak Gupta","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MedVidQA"],"data_loaders":[{"repo":"https://github.com/deepaknlp/medvidqacl","url":"https://github.com/deepaknlp/medvidqacl","frameworks":["pytorch"]}],"num_papers_in_archive":15,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}