{"url":"/dataset/visual-question-answering","name":"Visual Question Answering","full_name":"VQA","description_markdown":"**Visual Question Answering (VQA)** is a dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. The first version of the dataset was released in October 2015. [VQA v2.0](/dataset/visual-question-answering-v2-0) was released in April 2017.","description_withheld":null,"homepage":"http://visualqa.org/","introduced_date":"2015-05-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/vqa-visual-question-answering","title":"VQA: Visual Question Answering","first_author":"Aishwarya Agrawal","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["Visual Question Answering"],"data_loaders":[{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#vqav1","frameworks":["pytorch"]}],"num_papers_in_archive":1834,"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."}