{"url":"/dataset/vqa-hat","name":"VQA-HAT","full_name":"VQA Human Attention","description_markdown":"VQA-HAT (Human ATtention) is a dataset to evaluate the informative regions of an image depending on the question being asked about it. The dataset consists of human visual attention maps over the images in the original VQA dataset. It contains more than 60k attention maps.\r\n\r\nSource: [Human Attention in Visual Question Answering:](https://computing.ece.vt.edu/~abhshkdz/vqa-hat/)","description_withheld":null,"homepage":"https://computing.ece.vt.edu/~abhshkdz/vqa-hat/","introduced_date":"2016-06-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/human-attention-in-visual-question-answering","title":"Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?","first_author":"Abhishek Das","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"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":"Probabilistic Deep Learning","url":"/task/probabilistic-deep-learning","datasets_with_task":"/datasets/task/probabilistic-deep-learning"}],"languages":[],"variants":["VQA-HAT"],"data_loaders":[],"num_papers_in_archive":27,"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."}