Datasets › PointQA

PointQA

Introduced by Arjun Mani et al. in Point and Ask: Incorporating Pointing into Visual Question Answering27 Nov 2020 archive 2025-07-28

PointQA is a set of datasets for Visual Question Datasets (VQA) that require a pointer to an object in the image to be answered correctly. The different datasets are: PointQA-Local, PointQA-LookTwice and PointQA-General.

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 10 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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PointQA

1 variant name, as the archive lists them.

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