{"url":"/dataset/packit","name":"PackIt","full_name":null,"description_markdown":"The ability to jointly understand the geometry of objects and plan actions for manipulating them is crucial for intelligent agents. This ability is referred to as geometric planning. Recently, many interactive environments have been proposed to evaluate intelligent agents on various skills, however, none of them cater to the needs of geometric planning. PackIt is a virtual environment to evaluate and potentially learn the ability to do geometric planning, where an agent needs to take a sequence of actions to pack a set of objects into a box with limited space.","description_withheld":null,"homepage":"https://github.com/princeton-vl/PackIt","introduced_date":"2020-07-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/packit-a-virtual-environment-for-geometric","title":"PackIt: A Virtual Environment for Geometric Planning","first_author":"Ankit Goyal","url":null},"license":{"name":"BSD-3","url":"https://github.com/princeton-vl/PackIt/blob/master/LICENSE"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"General Reinforcement Learning","url":"/task/general-reinforcement-learning","datasets_with_task":"/datasets/task/general-reinforcement-learning"},{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"},{"name":"Robot Task Planning","url":"/task/robot-task-planning","datasets_with_task":"/datasets/task/robot-task-planning"}],"languages":[],"variants":["PackIt"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/robot-task-planning-on-packit","task":"Robot Task Planning","dataset_variant":"PackIt","rows":4,"metrics":["Average Reward"],"first_row_in_archive_order":{"model":"PackNN","paper":"/paper/packit-a-virtual-environment-for-geometric","metrics":{"Average Reward":"64.9"},"code_links":[{"title":"princeton-vl/PackIt","url":"https://github.com/princeton-vl/PackIt"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/packit-a-virtual-environment-for-geometric","title":"PackIt: A Virtual Environment for Geometric Planning","date":"2020-07-21","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":0,"samples_unverified":8,"pointer_only_for_licence":0,"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":1,"samples_harvested":8,"samples_ran":0,"samples_unverified":8,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}