{"url":"/dataset/aesvqa","name":"AesVQA","full_name":null,"description_markdown":"AesVQA is a dataset that contains 72168 high-quality images and 324756 pairs of aesthetic questions. This dataset addresses the task of aesthetic VQA and introduces subjectiveness into VQA tasks.\r\n\r\nSource: [Aesthetic Visual Question Answering of Photographs](https://arxiv.org/pdf/2208.05798v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2208.05798v1.pdf](https://arxiv.org/pdf/2208.05798v1.pdf)","description_withheld":null,"homepage":"","introduced_date":"2022-08-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/aesthetic-visual-question-answering-of","title":"Aesthetic Visual Question Answering of Photographs","first_author":"Xin Jin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"}],"languages":[],"variants":["AesVQA"],"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."}