{"url":"/dataset/hhoi","name":"HHOI","full_name":null,"description_markdown":"A new RGB-D video dataset, i.e., UCLA Human-Human-Object Interaction (HHOI) dataset, which includes 3 types of human-human interactions, i.e., shake hands, high-five, pull up, and 2 types of human-object-human interactions, i.e., throw and catch, and hand over a cup. On average, there are 23.6 instances per interaction performed by totally 8 actors recorded from various views. Each interaction lasts 2-7 seconds presented at 10-15 fps.\r\n\r\nSource: [Learning Social Affordance for Human-Robot Interaction](/paper/learning-social-affordance-for-human-robot)","description_withheld":null,"homepage":"http://www.stat.ucla.edu/~tianmin.shu/SocialAffordance/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-social-affordance-for-human-robot","title":"Learning Social Affordance for Human-Robot Interaction","first_author":"Tianmin Shu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["HHOI"],"data_loaders":[],"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."}