{"url":"/dataset/behavior","name":"BEHAVIOR","full_name":null,"description_markdown":"BEHAVIOR is a benchmark with the 100 household activities that represent a new challenge for embodied AI solutions.\r\n\r\nBEHAVIOR is a challenge in simulation where embodied agents make continuous full-body control decisions based on sensor information. Agents need to navigate and manipulate the simulated environment with the goal of acomplishing 100 household activities. BEHAVIOR tests the ability to perceive the environment, plan, and execute complex long-horizon activities that involve multiple objects, rooms, and state transitions, all with the reproducibility, safety and observability offered by a realistic physics simulation.\r\n\r\nDescription from: [BEHAVIOR Challenge @ ICCV 2021](http://svl.stanford.edu/behavior/challenge.html)","description_withheld":null,"homepage":"http://svl.stanford.edu/behavior/challenge.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"Unknown","url":null},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["BEHAVIOR"],"data_loaders":[],"num_papers_in_archive":0,"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."}