KlingTeam/VWG-Bench

VWG-Bench VWG-Bench (Video World Generalist Benchmark) is an image-to-video reasoning benchmark for evaluating whether video generation models can follow symbolic rules, respect physical and commonsense constraints, and realize intended goals over time. The test split contains 380 initial images and structured annotations organized into 9 reasoning dimensions and 38 ten-sample task groups. Data layout data/test/ ├── metadata.jsonl └── images/ ├── 000000.png… See the full description on the dataset page: https://huggingface.co/datasets/KlingTeam/VWG-Bench.

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