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+
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - world-model
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+ - minecraft
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+ - video-diffusion
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+ - action-conditioned
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+ pretty_name: ForgeWM Training Data
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # ForgeWM Training Data
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+
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+ Pre-encoded latents for training [ForgeWM](https://github.com/asdfo123/ForgeWM).
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+
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+ This is a **re-packaging** of the [GameFactory](https://github.com/KlingAIResearch/GameFactory)
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+ GF-Minecraft dataset, encoded into Wan2.1 VAE latents and sharded as LMDB for
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+ direct use by ForgeWM training scripts. The underlying gameplay videos are
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+ from GameFactory — we just made them training-ready.
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+
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+ ## Quick Start
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+
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+ ```bash
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+ huggingface-cli download asdfo123/ForgeWM-data \
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+ --local-dir ./data/action_lmdb --repo-type dataset
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+ ```
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+
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+ Then point ForgeWM configs to `./data/action_lmdb`.
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+
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+ ## What's Inside
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+
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+ | Field | Value |
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+ |---|---|
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+ | Clips | 4000 |
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+ | Shards | 10 LMDB files |
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+ | Latent shape | `(21, 16, 44, 80)` — Wan2.1 VAE, 84 frames @ 352×640 decoded |
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+ | Keyboard | one-hot W/S/A/D |
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+ | Mouse | `[yaw, pitch]`, normalized |
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+ | Total size | ~89 GB |
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+
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+ **Processing note**: GameFactory's pitch convention (`+pitch = look-down`) is
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+ flipped to MG2's (`mouse[0] > 0 = look-up`) at encoding time.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{forgewm2026,
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+ title={ForgeWM: A Reproducible Training Recipe for Action-Controllable World Models},
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+ author=ForgeWM Team,
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+ year={2026},
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+ url={https://github.com/asdfo123/ForgeWM}
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+ }
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+ ```
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+
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+ Please also cite **GameFactory** (the underlying data):
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+ ```bibtex
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+ @misc{yu2024gamefactory,
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+ title={GameFactory: Creating New Games with Generative Interactive Videos},
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+ author={Yu, Jiwen and Qin, Yiran and Wang, Xintao and Wan, Pengfei and Zhang, Di and Liu, Xihui},
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+ year={2025},
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+ eprint={2501.08325},
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+ archivePrefix={arXiv},
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+ }
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+ ```
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+
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+ ## License
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+
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+ Apache 2.0 for this repackaging. The underlying GF-Minecraft data follows
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+ [GameFactory's license](https://github.com/KlingAIResearch/GameFactory) —
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+ please consult their terms before redistribution.
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+ ```