zengziyun/VideoArgusBench
VideoArgusBench Sample-specific rubric benchmark for conditioned video generation. VideoArgusBench is the evaluation benchmark for VideoArgus, a framework that scores a generated video against a rubric written for that specific prompt rather than a fixed global metric. This dataset ships the inputs (conditioning assets + prompts) and, for each input, a rubric. It does not contain generated videos — you bring your own model's outputs and score them with the VideoArgus evaluation… See the full description on the dataset page: https://huggingface.co/datasets/zengziyun/VideoArgusBench.
| Author / organization | zengziyun |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 812 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 30 July 2026 |
| Last updated at source | 7 August 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.