{"url":"/dataset/agqa","name":"AGQA","full_name":"Action Genome Question Answering","description_markdown":"Action Genome Question Answering (AGQA) is a benchmark for compositional spatio-temporal reasoning. AGQA contains 192M unbalanced question answer pairs for 9.6K videos. It also contains a balanced subset of 3.9M question answer pairs, 3 orders of magnitude larger than existing benchmarks, that minimizes bias by balancing the answer distributions and types of question structures. \r\n\r\nAGQA introduces multiple training/test splits to test for various reasoning abilities, including generalization to novel compositions, to indirect references, and to more compositional steps.","description_withheld":null,"homepage":"https://tinyurl.com/agqavideo","introduced_date":"2021-03-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/agqa-a-benchmark-for-compositional-spatio","title":"AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning","first_author":"Madeleine Grunde-McLaughlin","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Video Question Answering","url":"/task/video-question-answering","datasets_with_task":"/datasets/task/video-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["AGQA"],"data_loaders":[],"num_papers_in_archive":30,"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."}