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README.md
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- video-games
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# Multi-Drive World Model Data
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Action-conditioned driving gameplay for a multi-game world model, grouped by visual **theme**
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| theme | source games | frames |
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| cartoon | supertuxkart | 589,560 |
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| realistic | forza-horizon
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| arcade | asphalt-9 | 299,231 |
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Each `data/<theme>/<clip>.tar` unpacks to `<clip>/frames/frame_*.jpg` + `<clip>/actions.jsonl` (lines: `{frame_file, actions:[accel,brake,left,right,drift], theme, game}`). `metadata.jsonl` indexes every clip.
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- video-games
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# Multi-Drive World Model Data
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Action-conditioned driving gameplay for training a multi-game world model, grouped by visual **theme** rather than game name. 1,474,041 frames across 155 clips.
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| theme | source games | frames |
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| cartoon | supertuxkart | 589,560 |
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| realistic | forza-horizon, need-for-speed | 585,250 |
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| arcade | asphalt-9 | 299,231 |
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Each `data/<theme>/<clip>.tar` unpacks to `<clip>/frames/frame_*.jpg` + `<clip>/actions.jsonl` (lines: `{frame_file, actions:[accel,brake,left,right,drift], theme, game}`). `metadata.jsonl` indexes every clip.
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Models trained on this dataset are conditioned on the neutral **theme** label.
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