{"url":"/dataset/gd-vcr","name":"GD-VCR","full_name":null,"description_markdown":"Geo-Diverse Visual Commonsense Reasoning (GD-VCR) is a new dataset to test vision-and-language models' ability to understand cultural and geo-location-specific commonsense.\r\n\r\nImage source: [https://arxiv.org/pdf/2109.06860v1.pdf](https://arxiv.org/pdf/2109.06860v1.pdf)","description_withheld":null,"homepage":"https://github.com/WadeYin9712/GD-VCR","introduced_date":"2021-09-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/broaden-the-vision-geo-diverse-visual","title":"Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning","first_author":"Da Yin","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Commonsense Reasoning","url":"/task/visual-commonsense-reasoning","datasets_with_task":"/datasets/task/visual-commonsense-reasoning"}],"languages":[],"variants":["GD-VCR"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-commonsense-reasoning-on-gd-vcr","task":"Visual Commonsense Reasoning","dataset_variant":"GD-VCR","rows":4,"metrics":["Accuracy","Gap (West)"],"first_row_in_archive_order":{"model":"Human","paper":"/paper/broaden-the-vision-geo-diverse-visual","metrics":{"Accuracy":"88.84"},"code_links":[{"title":"wadeyin9712/gd-vcr","url":"https://github.com/wadeyin9712/gd-vcr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/broaden-the-vision-geo-diverse-visual","title":"Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning","date":"2021-09-14","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"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":9,"samples_ran":0,"samples_unverified":9,"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."}