Datasets › V2VBench
V2VBench
V2VBench is a comprehensive benchmark designed to evaluate video editing methods. It consists of: - 50 standardized videos across 5 categories, and - 3 editing prompts per video, encompassing 4 editing tasks: Huggingface Datasets - 8 evaluation metrics to assess the quality of edited videos: Evaluation Metrics
For detailed information, please refer to the accompanying paper.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
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
- V2VBench
1 variant name, as the archive lists them.
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