TIGER-Lab/VideoFeedback2
📃Paper | 🌐Website | 💻Code | 🛢️Dataset (VideoFeedback2) | 🤗Model (VideoScore2) | 🤗Space (VideoScore2) | 🤗50K videos cache Overview VideoFeedback2 is a large-scale, human-annotated dataset designed for training and evaluating multi-dimensional video evaluator 🤗Model (VideoScore2). It contains 27,168 AI-generated videos paired with fine-grained human feedback scores and reasoning traces across three evaluation dimensions: (1) Visual Quality; (2) Text Alignment; (3)… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/VideoFeedback2.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 June 2025 |
| Last updated at source | 8 December 2025 |
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Connected in the knowledge graph
- mradermacher/VideoScore2-GGUFModel · used to train
- mradermacher/VideoScore2-i1-GGUFModel · used to train
- mradermacher/VideoScore2-SFT-no-CoT-GGUFModel · used to train
- mradermacher/VideoScore2-RL-no-SFT-GGUFModel · used to train
- mradermacher/VideoScore2-SFT-GGUFModel · used to train
- TIGER-Lab/VideoScore2Model · used to train
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