{"url":"/dataset/vasr","name":"VASR","full_name":"Visual Analogies of Situation Recognition","description_markdown":"**Visual Analogies of Situation Recognition (VASR)** is a dataset for visual analogical mapping, adapting the classical word-analogy task into the visual domain. It contains 196K object transitions and 385K activity transitions. Experiments demonstrate that state-of-the-art models do well when distractors are chosen randomly (~86%), but struggle with carefully chosen distractors (~53%, compared to 90% human accuracy)\r\n\r\nSource: [VASR: Visual Analogies of Situation Recognition](https://arxiv.org/pdf/2212.04542v1.pdf)\r\n\r\nImage Source:[https://arxiv.org/pdf/2212.04542v1.pdf](https://arxiv.org/pdf/2212.04542v1.pdf)\r\n\r\nProject Website: https://vasr-dataset.github.io/","description_withheld":null,"homepage":"https://vasr-dataset.github.io/download","introduced_date":"2022-12-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/vasr-visual-analogies-of-situation","title":"VASR: Visual Analogies of Situation Recognition","first_author":"Yonatan Bitton","url":null},"license":{"name":"CC-By 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Visual Reasoning","url":"/task/visual-reasoning","datasets_with_task":"/datasets/task/visual-reasoning"},{"name":"Grounded Situation Recognition","url":"/task/grounded-situation-recognition","datasets_with_task":"/datasets/task/grounded-situation-recognition"}],"languages":[],"variants":["VASR"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/nlphuji/vasr","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-reasoning-on-vasr","task":"Visual Reasoning","dataset_variant":"VASR","rows":4,"metrics":["1:1 Accuracy"],"first_row_in_archive_order":{"model":"Swin","paper":"/paper/vasr-visual-analogies-of-situation","metrics":{"1:1 Accuracy":"52.9"},"code_links":[{"title":"vasr-dataset/vasr","url":"https://github.com/vasr-dataset/vasr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/vasr-visual-analogies-of-situation","title":"VASR: Visual Analogies of Situation Recognition","date":"2022-12-08","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":0,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":8,"samples_ran":0,"samples_unverified":8,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}