{"url":"/dataset/tutorialvqa","name":"TutorialVQA","full_name":"TutorialVQA","description_markdown":"**TutorialVQA** is a new type of dataset used to find answer spans in tutorial videos. The dataset includes about 6,000 triples, comprised of videos, questions, and answer spans manually collected from screencast tutorial videos with spoken narratives for a photo-editing software.\r\n\r\nSource: [TutorialVQA: Question Answering Dataset for Tutorial Videos](https://arxiv.org/pdf/1912.01046v2.pdf)","description_withheld":null,"homepage":"https://github.com/acolas1/TutorialVQAData","introduced_date":"2019-12-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/tutorialvqa-question-answering-dataset-for","title":"TutorialVQA: Question Answering Dataset for Tutorial Videos","first_author":"Anthony Colas","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Video Question Answering","url":"/task/video-question-answering","datasets_with_task":"/datasets/task/video-question-answering"}],"languages":[],"variants":["TutorialVQA"],"data_loaders":[{"repo":"https://github.com/acolas1/TutorialVQAData","url":"https://github.com/acolas1/TutorialVQAData","frameworks":[]}],"num_papers_in_archive":5,"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":"2026-09-24T18:15:14+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."}