{"url":"/dataset/alfred","name":"ALFRED","full_name":"Action Learning From Realistic Environments and Directives","description_markdown":"ALFRED (Action Learning From Realistic Environments and Directives), is a new benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks.\r\n\r\nSource: [ALFRED](https://github.com/askforalfred/alfred)","description_withheld":null,"homepage":"https://github.com/askforalfred/alfred","introduced_date":"2019-12-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/alfred-a-benchmark-for-interpreting-grounded","title":"ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks","first_author":"Mohit Shridhar","url":null},"license":{"name":"MIT","url":"https://github.com/askforalfred/alfred/blob/master/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[],"languages":[],"variants":["ALFRED"],"data_loaders":[{"repo":"https://github.com/askforalfred/alfred","url":"https://github.com/askforalfred/alfred","frameworks":["pytorch"]}],"num_papers_in_archive":173,"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."}