{"url":"/dataset/coat","name":"COAT","full_name":"CommonSense Object Affordance Task","description_markdown":"Useful for checking the physical reasoning capabilities in household agents. Made through human annotations of what type of object configurations we prefer for accomplishing a household task.\r\n\r\nConsists of 4 major datasets that are organized for evaluating such object selection capabilities across 3 major factors 1) Utility [1 dataset] 2) Context [1 dataset] 3) Physical State [2 datasets] \r\n\r\nWe also provide 2 datasets used for evaluating object selection capabilities by applying all 3 factors together. Namely the F_{ideal} and F_{moderate} datasets.","description_withheld":null,"homepage":"https://github.com/Ayush8120/COAT","introduced_date":"2023-11-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/physical-reasoning-and-object-planning-for","title":"Physical Reasoning and Object Planning for Household Embodied Agents","first_author":"Ayush Agrawal","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["COAT"],"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":"2026-09-25T09:33:49+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."}