WMBench

Dataset Summary Sunain Gameplay is a large-scale multimodal dataset containing synchronized gameplay videos and player input actions from 12 popular video games. The dataset comprises over 1000 curated clips (10-50 seconds each) with 2M+ frames and frame-level action annotations, designed specifically for training embodied AI agents, world models, and video generation systems. This release represents a curated sample of the full Sunain gameplay dataset. For access to the complete… See the full description on the dataset page: https://huggingface.co/datasets/OpenEnvisionLab/WMBench.