{"url":"/dataset/iquad","name":"IQUAD","full_name":"Interactive Question Answering Dataset","description_markdown":"IQUAD is a dataset for Visual Question Answering in interactive environments. It is built upon AI2-THOR, a simulated photo-realistic environment of configurable indoor scenes with interactive object. IQUAD V1 has 75,000 questions, each paired with a unique scene configuration.\r\n\r\nSource: [IQA: Visual Question Answering in Interactive Environments](https://arxiv.org/abs/1712.03316)","description_withheld":null,"homepage":"https://github.com/danielgordon10/thor-iqa-cvpr-2018","introduced_date":"2017-12-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/iqa-visual-question-answering-in-interactive","title":"IQA: Visual Question Answering in Interactive Environments","first_author":"Daniel Gordon","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"},{"name":"Visual Navigation","url":"/task/visual-navigation","datasets_with_task":"/datasets/task/visual-navigation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IQUAD"],"data_loaders":[{"repo":"https://github.com/danielgordon10/thor-iqa-cvpr-2018","url":"https://github.com/danielgordon10/thor-iqa-cvpr-2018","frameworks":["tf"]}],"num_papers_in_archive":7,"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."}