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meituan-longcat/WBench

WBench Dataset A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation TL;DR — WBench evaluates 20 video world models across 5 dimensions and 22 metrics. Overview WBench is a comprehensive multi-turn benchmark for interactive video world model evaluation. It contains 289 multi-turn interaction cases with 1,058 interaction turns for evaluating models across 22 metrics and 5 dimensions: Video Quality Setting Adherence… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/WBench.

Author / organizationmeituan-longcat
License (as declared)mit
Downloads2.4K (as reported by Hugging Face)
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Created22 May 2026
Last updated at source29 May 2026
video-generationworld-modelbenchmarkevaluationmulti-turninteractivenavigationvideo-qualityconsistencyphysics
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