{"url":"/dataset/russ-dataset","name":"RUSS Dataset","full_name":null,"description_markdown":"RUSS (Rapid Universal Support Service) is a dataset that consists of a collection of 741 real-world step-by-step natural language instructions (raw and annotated) from the open web, and for each: its corresponding webpage DOM, ground-truth ThingTalk, and ground-truth actions.","description_withheld":null,"homepage":"https://github.com/xnancy/russ","introduced_date":"2021-03-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/grounding-open-domain-instructions-to","title":"Grounding Open-Domain Instructions to Automate Web Support Tasks","first_author":"Nancy Xu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RUSS Dataset"],"data_loaders":[{"repo":"https://github.com/xnancy/russ","url":"https://github.com/xnancy/russ","frameworks":["pytorch"]}],"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."}