{"url":"/dataset/phase","name":"PHASE","full_name":"PHysically-grounded Abstract Social Events","description_markdown":"PHASE is a dataset of physically-grounded abstract social events, that resemble a wide range of real-life social interactions by including social concepts such as helping another agent. PHASE consists of 2D animations of pairs of agents moving in a continuous space generated procedurally using a physics engine and a hierarchical planner. Agents have a limited field of view, and can interact with multiple objects, in an environment that has multiple landmarks and obstacles. Using PHASE, we design a social recognition task and a social prediction task. PHASE is validated with human experiments demonstrating that humans perceive rich interactions in the social events, and that the simulated agents behave similarly to humans.","description_withheld":null,"homepage":"https://www.tshu.io/PHASE/","introduced_date":"2021-03-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/phase-physically-grounded-abstract-social","title":"PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception","first_author":"Aviv Netanyahu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["PHASE"],"data_loaders":[],"num_papers_in_archive":6,"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."}