{"url":"/dataset/visual-madlibs","name":"Visual Madlibs","full_name":null,"description_markdown":"Visual Madlibs is a dataset consisting of 360,001 focused natural language descriptions for 10,738 images. This dataset is collected using automatically produced fill-in-the-blank templates designed to gather targeted descriptions about: people and objects, their appearances, activities, and interactions, as well as inferences about the general scene or its broader context.\r\n\r\nSource: [Visual Madlibs: Fill in the blank Image Generation and Question Answering](/paper/visual-madlibs-fill-in-the-blank-image)\r\nImage Source: [Yu et al](https://arxiv.org/pdf/1506.00278v1.pdf)","description_withheld":null,"homepage":"http://tamaraberg.com/visualmadlibs/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/visual-madlibs-fill-in-the-blank-image","title":"Visual Madlibs: Fill in the blank Image Generation and Question Answering","first_author":"Licheng Yu","url":null},"license":{"name":"Unknown","url":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":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"}],"languages":[],"variants":["Visual Madlibs"],"data_loaders":[],"num_papers_in_archive":13,"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":"2026-09-25T09:33:49+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."}