{"url":"/dataset/symmetry-ood","name":"Symmetry-OOD","full_name":null,"description_markdown":"**Symmetry-OOD** is a dataset for symmetry perception by deep neural networks.","description_withheld":null,"homepage":"https://dataverse.harvard.edu/dataverse/symmetry","introduced_date":"2021-12-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/symmetry-perception-by-deep-networks","title":"Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections","first_author":"Shobhita Sundaram","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Symmetry-OOD"],"data_loaders":[],"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."}