{"url":"/dataset/minerl-basalt","name":"MineRL BASALT","full_name":null,"description_markdown":"**MineRL BASALT** is an RL competition on solving human-judged tasks. The tasks in this competition do not have a pre-defined reward function: the goal is to produce trajectories that are judged by real humans to be effective at solving a given task.","description_withheld":null,"homepage":"https://minerl.io/basalt/","introduced_date":"2021-07-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-minerl-basalt-competition-on-learning","title":"The MineRL BASALT Competition on Learning from Human Feedback","first_author":"Rohin Shah","url":null},"license":null,"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["MineRL BASALT"],"data_loaders":[],"num_papers_in_archive":12,"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."}