{"url":"/dataset/vqa-360deg","name":"VQA 360°","full_name":null,"description_markdown":"VQA 360° is a dataset for visual question answering on 360° images containing around 17,000 real-world image-question-answer triplets for a variety of question types. \r\n\r\nSource: [Visual Question Answering on 360° Images](http://aliensunmin.github.io/project/360-VQA/)","description_withheld":null,"homepage":"http://aliensunmin.github.io/project/360-VQA/","introduced_date":"2020-01-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/visual-question-answering-on-360-images","title":"Visual Question Answering on 360° Images","first_author":"Shih-Han Chou","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"}],"languages":[],"variants":["VQA 360°"],"data_loaders":[],"num_papers_in_archive":2,"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."}