{"url":"/dataset/baking-large","name":"Baking-Large","full_name":null,"description_markdown":"This is a link to the source code of the Baking-Large domain introduced in the paper.\r\n\r\nThis is considerably larger than existing open-source PDDLGym domains (larger state space and action space), thus making exploration is more difficult.","description_withheld":null,"homepage":"https://github.com/azfeng8/pddlgym/tree/baking-realistic","introduced_date":"2025-02-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/guided-exploration-for-efficient-relational","title":"Guided Exploration for Efficient Relational Model Learning","first_author":"Annie Feng","url":null},"license":{"name":"MIT","url":null},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Baking-Large"],"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":"2026-09-24T18:15:14+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."}