originlab/game-recordings-v4
Origin Lab Game Recordings v0.4.0 Origin Lab Game Recordings v0.4.0 is a multi-modal video game dataset for training world models, e.g. action-conditioned video generation, depth and camera-pose estimation, and imitation learning from human play: 163 hours of human gameplay from 20 licensed games, recorded inside the game engine at 1080p and 60 FPS, with keyboard and mouse input, depth, surface normals, camera pose, in-engine events and audio on one shared frame clock.… See the full description on the dataset page: https://huggingface.co/datasets/originlab/game-recordings-v4.
| Author / organization | originlab |
|---|---|
| License (as declared) | other |
| Downloads | 8.2K (as reported by Hugging Face) |
| Likes | 14 |
| Created | 17 September 2026 |
| Last updated at source | 14 October 2026 |
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Connected in the knowledge graph
- EgoCS-400K: An Egocentric Gameplay Dataset for World ModelsPaper · cites
- WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric RepresentationPaper · cites
- WildWorld: A Large-Scale Dataset for Dynamic World Modeling with Actions and Explicit State toward Generative ARPGPaper · cites
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