Datasets › TGIF-QA
TGIF-QA
The TGIF-QA dataset contains 165K QA pairs for the animated GIFs from the TGIF dataset [Li et al. CVPR 2016]. The question & answer pairs are collected via crowdsourcing with a carefully designed user interface to ensure quality. The dataset can be used to evaluate video-based Visual Question Answering techniques.
Source: GitHub Image Source: https://github.com/YunseokJANG/tgif-qa
Benchmarks archive 2025-07-28
All 3 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 | ||||
|---|---|---|---|---|---|---|
| Zero-Shot Video Question Answer | TGIF-QA | Tarsier (34B) Accuracy 82.5 | Tarsier: Recipes for Training and Evaluating Large Video... | bytedance/tarsier | 14 | Compare |
| Visual Question Answering (VQA) | TGIF-QA | HiTeA Accuracy 0.732 | HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training | — | 2 | Compare |
| Video Question Answering | TGIF-QA | LocVLM-Vid-B Accuracy 51.8 | Learning to Localize Objects Improves Spatial Reasoning... | kahnchana/locvlm | 1 | Compare |
Papers archive 2025-07-28
17 shown of 17 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 92. 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
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TGIF-QA
1 variant name, as the archive lists them.
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