{"url":"/dataset/touch-and-go","name":"Touch and Go","full_name":null,"description_markdown":"This dataset encompasses a diverse range of tactile features that are instrumental in bifurcating various material properties. Three downstream tasks are considered: 1) categorization of materials, 2) distinction between hard and soft surfaces, and 3) distinction between smooth and textured surfaces.","description_withheld":null,"homepage":"https://touch-and-go.github.io/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/touch-and-go-learning-from-human-collected","title":"Touch and Go: Learning from Human-Collected Vision and Touch","first_author":"Fengyu Yang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Material Classification","url":"/task/material-classification","datasets_with_task":"/datasets/task/material-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Touch and Go"],"data_loaders":[],"num_papers_in_archive":13,"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."}