{"url":"/dataset/bar","name":"BAR","full_name":"Biased Action Recognition","description_markdown":"**Biased Action Recognition** (**BAR**) dataset is a real-world image dataset categorized as six action classes which are biased to distinct places. The authors settle these six action classes by inspecting imSitu, which provides still action images from Google Image Search with action and place labels. In detail, the authors choose action classes where images for each of these candidate actions share common place characteristics. At the same time, the place characteristics of action class candidates should be distinct in order to classify the action only from place attributes. The select pairs are six typical action-place pairs: (Climbing, RockWall), (Diving, Underwater), (Fishing, WaterSurface), (Racing, APavedTrack), (Throwing, PlayingField),and (Vaulting, Sky).\r\n\r\nSource: [https://github.com/alinlab/BAR](https://github.com/alinlab/BAR)\nImage Source: [https://github.com/alinlab/BAR](https://github.com/alinlab/BAR)","description_withheld":null,"homepage":"https://github.com/alinlab/BAR","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-from-failure-training-debiased","title":"Learning from Failure: Training Debiased Classifier from Biased Classifier","first_author":"Junhyun Nam","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"}],"languages":[],"variants":["BAR"],"data_loaders":[{"repo":"https://github.com/alinlab/BAR","url":"https://github.com/alinlab/BAR","frameworks":[]}],"num_papers_in_archive":22,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-recognition-on-bar","task":"Action Recognition","dataset_variant":"BAR","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"DebiAN","paper":"/paper/discover-and-mitigate-unknown-biases-with","metrics":{"Accuracy":"69.88"},"code_links":[{"title":"zhihengli-UR/DebiAN","url":"https://github.com/zhihengli-UR/DebiAN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/discover-and-mitigate-unknown-biases-with","title":"Discover and Mitigate Unknown Biases with Debiasing Alternate Networks","date":"2022-07-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":2,"samples_unverified":7,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/occamnets-mitigating-dataset-bias-by-favoring","title":"OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses","date":"2022-04-05","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":3,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/biaswap-removing-dataset-bias-with-bias","title":"BiaSwap: Removing dataset bias with bias-tailored swapping augmentation","date":"2021-08-23","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-from-failure-training-debiased","title":"Learning from Failure: Training Debiased Classifier from Biased Classifier","date":"2020-07-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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":3,"samples_harvested":20,"samples_ran":6,"samples_unverified":14,"pointer_only_for_licence":10,"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."}