{"url":"/dataset/gscan","name":"GSCAN","full_name":"Grounded SCAN","description_markdown":"Grounded SCAN poses a simple task, where an agent must execute action sequences based on a synthetic language instruction.\r\n\r\nThe agent is presented with a simple grid world containing a collection of objects, each of which is associated with a vector of features. The agent is evaluated on its ability to follow one or more instructions in this environment. Some instructions require interaction with particular kinds of objects.\r\n\r\n![gSCAN Example](https://raw.githubusercontent.com/LauraRuis/groundedSCAN/master/documentation/movie.gif)","description_withheld":null,"homepage":"https://github.com/LauraRuis/groundedSCAN","introduced_date":"2020-03-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-benchmark-for-systematic-generalization-in","title":"A Benchmark for Systematic Generalization in Grounded Language Understanding","first_author":"Laura Ruis","url":null},"license":{"name":"MIT Licence","url":"https://raw.githubusercontent.com/LauraRuis/groundedSCAN/master/LICENSE"},"modalities":[],"tasks":[{"name":"Instruction Following","url":"/task/instruction-following","datasets_with_task":"/datasets/task/instruction-following"},{"name":"Systematic Generalization","url":"/task/systematic-generalization","datasets_with_task":"/datasets/task/systematic-generalization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GSCAN"],"data_loaders":[],"num_papers_in_archive":22,"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."}