{"url":"/dataset/reascan","name":"ReaSCAN","full_name":"ReaSCAN: Compositional Reasoning in Language Grounding","description_markdown":"ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages.","description_withheld":null,"homepage":"https://reascan.github.io/","introduced_date":"2021-09-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/reascan-compositional-reasoning-in-language","title":"ReaSCAN: Compositional Reasoning in Language Grounding","first_author":"Zhengxuan Wu","url":null},"license":{"name":"Creative Commons Attribution 4.0 International License","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Compositional Zero-Shot Learning","url":"/task/compositional-zero-shot-learning","datasets_with_task":"/datasets/task/compositional-zero-shot-learning"},{"name":"Vision-Language Navigation","url":"/task/vision-language-navigation","datasets_with_task":"/datasets/task/vision-language-navigation"},{"name":"Compositional Generalization (AVG)","url":"/task/compositional-generalization-avg","datasets_with_task":"/datasets/task/compositional-generalization-avg"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ReaSCAN"],"data_loaders":[],"num_papers_in_archive":10,"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."}