Datasets › OVBench
OVBench
OVBench is a benchmark tailored for real-time video understanding:
- Memory, Perception, and Prediction of Temporal Contexts: Questions are framed to reference the present state of entities, requiring models to memorize/perceive/predict past/present/future temporal contexts over time.
- Dynamic Spatio-temporal Interaction: The benchmark demands precise real-time interactions with video content, where actions, objects, and events must be understood in the context of their spatial and temporal relationships.
- Contextual Awareness at Specific Moments: Real-time questions are contextual, changing based on the specific timestamp they are asked, requiring a deep understanding of how temporal context evolves.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Video Question Answering | OVBench | Seed1.5-VL AVG 60.0 | Seed1.5-VL Technical Report | — | 16 | Compare |
Papers archive 2025-07-28
14 shown of 14 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 14. 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
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
- OVBench
1 variant name, as the archive lists them.
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