| --- |
| license: fair-noncommercial-research-license |
| language: |
| - en |
| pretty_name: SANA-WM Example Training Dataset |
| task_categories: |
| - text-to-video |
| - image-to-video |
| tags: |
| - sana-wm |
| - sekai |
| - sekai-game |
| - world-model |
| - video-generation |
| - camera-control |
| - vae-latents |
| size_categories: |
| - 1K<n<10K |
| viewer: false |
| --- |
| |
| # SANA-WM Example Training Dataset |
|
|
| This repository contains the Sekai-Game training subset and LTX2 VAE latent cache used by the SANA-WM stage-1 example training configs. |
|
|
| ## License and Terms |
|
|
| This dataset is redistributed for non-commercial research use only under the same terms as the official Sekai project. See `LICENSE` and `NOTICE.md`. |
|
|
| The raw videos, camera trajectories, annotations, and derived VAE latent cache are all subject to the Sekai non-commercial research-only terms. Do not use this dataset, or derivatives of it, for commercial purposes unless you have obtained separate rights from the original rights holders. |
|
|
| ## Source |
|
|
| This is a redistributed/repacked SANA-WM training subset derived from the official Sekai project: |
|
|
| - Project/code: https://github.com/Lixsp11/sekai-codebase |
| - Official dataset hub: https://huggingface.co/datasets/Lixsp11/Sekai-Project |
| - Paper: https://arxiv.org/abs/2506.15675 |
|
|
| This repository is not the official Sekai release. |
|
|
| ## Contents |
|
|
| ```text |
| data/ |
| sekai_game_train_961frames_16fps_ovl640/ |
| sekai_game_train_00000000.zip |
| sekai_game_train_00000000_camera.npz |
| sekai_game_train_00000000_*.json |
| sekai_game_train_00000000_*.jsonl |
| vae_cache/ |
| LTX2VAE_diffusers_704x1280/ |
| sekai_game_train_961frames_16fps_ovl640/ |
| sekai_game_train_00000000.zip |
| ``` |
|
|
| The raw zip contains 1,618 MP4 clips and 1,618 JSON sidecars. The VAE cache zip contains 1,618 NPZ latent files. See `data_manifest.json` for byte sizes and entry counts. |
|
|
| ## Use with SANA-WM Stage-1 Training |
|
|
| Download the dataset into the root of an NVlabs-Sana checkout so that the `data/...` paths line up with the example configs: |
|
|
| ```bash |
| cd NVlabs-Sana |
| hf download Efficient-Large-Model/SANA-WM-example-training-dataset \ |
| --repo-type dataset \ |
| --local-dir . |
| ``` |
|
|
| Then run a SANA-WM stage-1 config that expects: |
|
|
| ```yaml |
| data: |
| data_dir: |
| sekai_game: data/sekai_game_train_961frames_16fps_ovl640 |
| vae_cache_dir: data/vae_cache/LTX2VAE_diffusers_704x1280/sekai_game_train_961frames_16fps_ovl640 |
| ``` |
|
|
| If you download the dataset elsewhere, update those two config paths accordingly. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{li2025sekai, |
| title={Sekai: A Video Dataset towards World Exploration}, |
| author={Zhen Li and Chuanhao Li and Xiaofeng Mao and Shaoheng Lin and Ming Li and Shitian Zhao and Zhaopan Xu and Xinyue Li and Yukang Feng and Jianwen Sun and Zizhen Li and Fanrui Zhang and Jiaxin Ai and Zhixiang Wang and Yuwei Wu and Tong He and Jiangmiao Pang and Yu Qiao and Yunde Jia and Kaipeng Zhang}, |
| journal={arXiv preprint arXiv:2506.15675}, |
| year={2025} |
| } |
| ``` |
|
|
