{"url":"/dataset/ambiguous-vqa","name":"Ambiguous VQA","full_name":null,"description_markdown":"The **Ambiguous VQA** dataset is a dataset of ambiguous questions about images. It consists of a set of ambiguous images and their answers. It is used to train and evaluate question generation models in English.\r\n\r\nSource: [Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA](https://arxiv.org/pdf/2211.07516v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.07516v1.pdf](https://arxiv.org/pdf/2211.07516v1.pdf)","description_withheld":null,"homepage":"https://github.com/esteng/ambiguous_vqa","introduced_date":"2022-11-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/why-did-the-chicken-cross-the-road-rephrasing","title":"Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA","first_author":"Elias Stengel-Eskin","url":null},"license":{"name":"MIT License","url":"https://github.com/esteng/ambiguous_vqa/blob/release/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Ambiguous VQA"],"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."}