{"url":"/dataset/bear","name":"BEAR","full_name":"Benchmark on video Action Recognition","description_markdown":"**BEAR (Benchmark on video Action Recognition)** is a collection of 18 video datasets grouped into 5 categories (anomaly, gesture, daily, sports, and instructional), which covers a diverse set of real-world applications.\r\n\r\nSource: [A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition](https://arxiv.org/pdf/2303.13505v1.pdf)\r\n\r\nImage Source: [A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition](https://arxiv.org/pdf/2303.13505v1.pdf)","description_withheld":null,"homepage":"https://github.com/AndongDeng/BEAR","introduced_date":"2023-03-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-large-scale-study-of-spatiotemporal","title":"A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition","first_author":"Andong Deng","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"}],"languages":[],"variants":["BEAR"],"data_loaders":[],"num_papers_in_archive":1,"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."}