Datasets › OK-VQA
OK-VQA (Outside Knowledge Visual Question Answering)
Outside Knowledge Visual Question Answering (OK-VQA) includes more than 14,000 questions that require external knowledge to answer.
Source: OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge Image Source: https://okvqa.allenai.org/
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Visual Question Answering (VQA) | OK-VQA | PaLI-X-VPD Accuracy 66.8 | Visual Program Distillation: Distilling Tools and... | — | 37 | Compare |
| Retrieval | OK-VQA | FLMR Recall@5 89.32 | Fine-grained Late-interaction Multi-modal Retrieval for... | linweizhedragon/retrieval-augmented-visual-question-answering | 2 | Compare |
Papers archive 2025-07-28
26 shown of 26 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 368. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
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
Variants archive 2025-07-28
- OK-VQA
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections