Datasets › WebVidVQA3M

WebVidVQA3M

Introduced by Antoine Yang et al. in Learning to Answer Visual Questions from Web Videos10 May 2022 archive 2025-07-28

A dataset automatically generated using question generation neural models and alt-text video captions from the WebVid dataset, with 3M video-question-answer triplets.

Homepage JSON

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Visual Question Answering (VQA)

License archive 2025-07-28

Apache 2.0

Modalities archive 2025-07-28

Videos Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

WebVidVQA3M

1 variant name, as the archive lists them.

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