{"url":"/dataset/ma-52","name":"MA-52","full_name":"Micro-Action 52 dataset","description_markdown":"The MA-52 dataset provides the whole-body perspective including gestures, upper- and lower-limb movements, attempting to reveal comprehensive micro-action cues. In detail, MA-52 contains 52 micro-action categories along with seven body part labels, and encompasses a full array of realistic and natural micro-actions, accounting for 205 participants and 22,422 video instances collated from the psychological interviews","description_withheld":null,"homepage":"https://github.com/VUT-HFUT/micro-action","introduced_date":"2024-03-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/benchmarking-micro-action-recognition-dataset","title":"Benchmarking Micro-action Recognition: Dataset, Methods, and Applications","first_author":"Dan Guo","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Micro-Action Recognition","url":"/task/micro-action-recognition","datasets_with_task":"/datasets/task/micro-action-recognition"}],"languages":[],"variants":["MA-52"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/micro-action-recognition-on-ma-52","task":"Micro-Action Recognition","dataset_variant":"MA-52","rows":2,"metrics":["F1_mean","Top-1 Acc [Action]"],"first_row_in_archive_order":{"model":"PCAN","paper":"/paper/prototypical-calibrating-ambiguous-samples","metrics":{"F1_mean":"69.97","Top-1 Acc [Action]":"66.74"},"code_links":[{"title":"vut-hfut/micro-action","url":"https://github.com/vut-hfut/micro-action"},{"title":"kunli-cs/pcan","url":"https://github.com/kunli-cs/pcan"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/prototypical-calibrating-ambiguous-samples","title":"Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition","date":"2024-12-19","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/benchmarking-micro-action-recognition-dataset","title":"Benchmarking Micro-action Recognition: Dataset, Methods, and Applications","date":"2024-03-08","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"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":1,"samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"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."}