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FVQA

FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases.

Data and Resources

This dataset has no data

Cite this as

Wang et al. (2024). Dataset: FVQA. https://doi.org/10.57702/ovvtiz08

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2402.12846
Citation
  • https://doi.org/10.48550/arXiv.2402.12728
  • https://doi.org/10.48550/arXiv.1811.11903
Author Wang et al.
Homepage https://fvaq.org/