{"url":"/dataset/spatialsense-benchmark","name":"SpatialSense Benchmark","full_name":null,"description_markdown":"SpatialSense Benchmark is a dataset specializing in spatial relation recognition which captures a broad spectrum of such challenges, allowing for proper benchmarking of computer vision techniques. \r\n\r\nSource: [SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition](/paper/spatialsense-an-adversarially-crowdsourced)","description_withheld":null,"homepage":"https://github.com/princeton-vl/SpatialSense","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/spatialsense-an-adversarially-crowdsourced","title":"SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition","first_author":"Kaiyu Yang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Spatial Relation Recognition","url":"/task/spatial-relation-recognition","datasets_with_task":"/datasets/task/spatial-relation-recognition"}],"languages":[],"variants":["SpatialSense Benchmark"],"data_loaders":[{"repo":"https://github.com/princeton-vl/SpatialSense","url":"https://github.com/princeton-vl/SpatialSense","frameworks":["pytorch"]}],"num_papers_in_archive":2,"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."}