Datasets › Visual Madlibs
Visual Madlibs
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.
Source: Visual Madlibs: Fill in the blank Image Generation and Question Answering Image Source: Yu et al
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 13 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Visual Madlibs
1 variant name, as the archive lists them.
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