Datasets › WildQA

WildQA

Introduced by Santiago Castro et al. in WildQA: In-the-Wild Video Question Answering14 Sep 2022 archive 2025-07-28

WildQA is a video understanding dataset of videos recorded in outside settings. The dataset can be used to evaluate models for video question answering.

Benchmarks archive 2025-07-28

All 1 leaderboard 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)PaperCode
Video Question Answering WildQA Multi (text + video, IO) ROUGE-1 34.0 ± 0.5 WildQA: In-the-Wild Video Question Answering — 5 Compare

Papers archive 2025-07-28

1 shown of 1 paper 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 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
WildQA: In-the-Wild Video Question Answering 0 5 14 Sep 2022 not harvested

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

  • WildQA

1 variant name, as the archive lists them.

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