{"url":"/dataset/jrdb-act","name":"JRDB-Act","full_name":null,"description_markdown":"**JRDB-Act** is an extension of the [JRDB](jrdb) dataset to create a large-scale multi-modal dataset for spatio-temporal action, social group and activity detection. \r\n\r\nJRDB-Act has been densely annotated with atomic actions, comprises over 2.8M action labels, constituting a large-scale spatio-temporal action detection dataset. Each human bounding box is labelled with one pose-based action label and multiple (optional) interaction-based action labels. Moreover JRDB-Act comes with social group identification annotations conducive to the task of grouping individuals based on their interactions in the scene to infer their social activities (common activities in each social group).","description_withheld":null,"homepage":"https://jrdb.stanford.edu/","introduced_date":"2021-06-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/jrdb-act-a-large-scale-multi-modal-dataset","title":"JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection","first_author":"Mahsa Ehsanpour","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Spatio-Temporal Action Localization","url":"/task/spatio-temporal-action-localization","datasets_with_task":"/datasets/task/spatio-temporal-action-localization"}],"languages":[],"variants":["JRDB-Act"],"data_loaders":[{"repo":"https://github.com/scubers/JRDB","url":"https://github.com/scubers/JRDB","frameworks":["pytorch"]}],"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."}