{"url":"/dataset/socnav1","name":"SocNav1","full_name":null,"description_markdown":"**SocNav1** is a dataset for social navigation conventions. The aims of SocNav1 are two-fold: a) enabling comparison of the algorithms that robots use to assess the convenience of their presence in a particular position when navigating; b) providing a sufficient amount of data so that modern machine learning algorithms such as deep neural networks can be used. Because of the structured nature of the data, SocNav1 is particularly well-suited to be used to benchmark non-Euclidean machine learning algorithms such as Graph Neural Networks","description_withheld":null,"homepage":"https://github.com/gnns4hri/SocNav1","introduced_date":"2020-01-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/socnav1-a-dataset-to-benchmark-and-learn","title":"SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions","first_author":null,"url":null},"license":{"name":"Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[],"languages":[],"variants":["SocNav1"],"data_loaders":[{"repo":"https://github.com/gnns4hri/SocNav1","url":"https://github.com/gnns4hri/SocNav1","frameworks":[]}],"num_papers_in_archive":6,"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."}