{"url":"/dataset/tapos","name":"TAPOS","full_name":"TAPOS","description_markdown":"**TAPOS** is a new dataset developed on sport videos with manual annotations of sub-actions, and conduct a study on temporal action parsing on top. A sport activity usually consists of multiple sub-actions and that the awareness of such temporal structures is beneficial to action recognition.\r\n\r\nTAPOS contains 16,294 valid instances in total, across 21 action classes. These instances have a duration of 9.4\r\nseconds on average. The number of instances within each class is different, where the largest class high jump has over\r\n1,600 instances, and the smallest class beam has 200 instances. The average number of sub-actions also varies\r\nfrom class to class, where parallel bars has 9 sub-actions on average, and long jump has 3 sub-actions on average. All instances are split into train, validation and test sets, of sizes 13094, 1790, and 1763, respectively.","description_withheld":null,"homepage":"https://sdolivia.github.io/TAPOS/","introduced_date":"2020-05-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/intra-and-inter-action-understanding-via","title":"Intra- and Inter-Action Understanding via Temporal Action Parsing","first_author":"Dian Shao","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Generic Event Boundary Detection","url":"/task/generic-event-boundary-detection","datasets_with_task":"/datasets/task/generic-event-boundary-detection"},{"name":"Action Parsing","url":"/task/action-parsing","datasets_with_task":"/datasets/task/action-parsing"}],"languages":[],"variants":["TAPOS"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/generic-event-boundary-detection-on-tapos","task":"Generic Event Boundary Detection","dataset_variant":"TAPOS","rows":1,"metrics":["F1 @ RelDis. 0.05"],"first_row_in_archive_order":{"model":"FlowGEBD","paper":"/paper/what-s-in-the-flow-exploiting-temporal-motion-1","metrics":{"F1 @ RelDis. 0.05":"0.375"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/what-s-in-the-flow-exploiting-temporal-motion-1","title":"What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection","date":"2024-02-15","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}