| --- |
| title: WRBench |
| emoji: 🎥 |
| colorFrom: blue |
| colorTo: green |
| sdk: static |
| pinned: false |
| short_description: Persistent-state world model benchmark |
| --- |
| |
| # WRBench |
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| WRBench is an open benchmark for camera-controlled generation and diagnostic evaluation of video world models, introduced in *Current World Models Lack a Persistent State Core*. |
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| ## Links |
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| - Paper: https://huggingface.co/papers/2606.20545 |
| - Project page: https://jinplu.github.io/WRBench/ |
| - GitHub: https://github.com/JinPLu/WRBench |
| - Artifact collection: https://huggingface.co/collections/WRBench/wrbench-current-world-models-lack-a-persistent-state-core-6a365c717251293c9fc2cc26 |
| - Leaderboard: https://huggingface.co/spaces/WRBench/wrbench-leaderboard |
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| ## Datasets |
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| - Natural-25 prompts, variants, and first frames: https://huggingface.co/datasets/WRBench/wrbench-natural25 |
| - 23-model evaluation results: https://huggingface.co/datasets/WRBench/wrbench-results |
| - Human annotation verdicts: https://huggingface.co/datasets/WRBench/wrbench-human-annotations |
| - Benchmark videos and per-video scores: https://huggingface.co/datasets/WRBench/wrbench-videos |
