{"url":"/dataset/tvseries","name":"TVSeries","full_name":null,"description_markdown":"A realistic dataset composed of 27 episodes from 6 popular TV series. The dataset spans over 16 hours of footage annotated with 30 action classes, totaling 6,231 action instances.\r\n\r\nSource: [Online Action Detection](/paper/online-action-detection)","description_withheld":null,"homepage":"https://homes.esat.kuleuven.be/psi-archive/rdegeest/TVSeries.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/online-action-detection","title":"Online Action Detection","first_author":"Roeland De Geest","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"},{"name":"Action Anticipation","url":"/task/action-anticipation","datasets_with_task":"/datasets/task/action-anticipation"},{"name":"Online Action Detection","url":"/task/online-action-detection","datasets_with_task":"/datasets/task/online-action-detection"}],"languages":[],"variants":["TVSeries"],"data_loaders":[],"num_papers_in_archive":29,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/online-action-detection-on-tvseries","task":"Online Action Detection","dataset_variant":"TVSeries","rows":13,"metrics":["mCAP"],"first_row_in_archive_order":{"model":"GateHUB","paper":"/paper/gatehub-gated-history-unit-with-background-1","metrics":{"mCAP":"89.6"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/miniroad-minimal-rnn-framework-for-online","title":"MiniROAD: Minimal RNN Framework for Online Action Detection","date":"2023-01-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gatehub-gated-history-unit-with-background-1","title":"GateHUB: Gated History Unit with Background Suppression for Online Action Detection","date":"2022-06-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/colar-effective-and-efficient-online-action","title":"Colar: Effective and Efficient Online Action Detection by Consulting Exemplars","date":"2022-03-02","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/continual-transformers-redundancy-free","title":"Continual Transformers: Redundancy-Free Attention for Online Inference","date":"2022-01-17","rows_on_this_dataset":5,"code_links":1,"syntology":null},{"paper":"/paper/long-short-term-transformer-for-online-action","title":"Long Short-Term Transformer for Online Action Detection","date":"2021-07-07","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":1,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/oadtr-online-action-detection-with","title":"OadTR: Online Action Detection with Transformers","date":"2021-06-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/privileged-knowledge-distillation-for-online","title":"Privileged Knowledge Distillation for Online Action Detection","date":"2020-11-18","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-to-discriminate-information-for","title":"Learning to Discriminate Information for Online Action Detection","date":"2019-12-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/temporal-recurrent-networks-for-online-action","title":"Temporal Recurrent Networks for Online Action Detection","date":"2018-11-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":4,"samples_harvested":22,"samples_ran":6,"samples_unverified":16,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":2,"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."}