Update dataset card with metadata, links and usage instructions
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by nielsr HF Staff - opened
README.md
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#
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## Dataset Structure
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All original copyrights of these source datasets are retained by their respective authors.
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##
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The **SeeU45 dataset** (including our processed frames, splits, and annotations) is released under:
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**
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This means:
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- ✅ You may use SeeU45 for **non-commercial academic research**.
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- ✅ You must credit the SeeU paper and dataset when using it.
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- ❌ You may not use SeeU45 for commercial purposes.
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- image-to-video
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---
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# SeeU45 Dataset
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[**Project Page**](https://yuyuan-space.github.io/SeeU/) | [**Paper**](https://huggingface.co/papers/2512.03350) | [**Code**](https://github.com/pandayuanyu/SeeU)
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This is the official dataset for **SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation**, a framework that learns continuous 4D dynamics to generate unseen visual content from sparse monocular frames.
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## Sample Usage
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You can download the dataset using the `huggingface_hub` CLI:
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```bash
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pip install "huggingface_hub[hf_transfer]"
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hf download pandaphd/SeeU45 --repo-type dataset --local-dir SeeU45
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```
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## Dataset Structure
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All original copyrights of these source datasets are retained by their respective authors.
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## License
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The **SeeU45 dataset** (including our processed frames, splits, and annotations) is released under **CC BY-NC-ND 4.0**.
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- ✅ You may use SeeU45 for **non-commercial academic research**.
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- ✅ You must credit the SeeU paper and dataset when using it.
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- ❌ You may not use SeeU45 for commercial purposes.
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## Citation
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```bibtex
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@article{Yuan_2025_SeeU,
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title={{SeeU}: Seeing the Unseen World via 4D Dynamics-aware Generation},
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author={Yuan, Yu and Wickremasinghe, Tharindu and Nadir, Zeeshan and Wang, Xijun and Chi, Yiheng and Chan, Stanley H.},
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journal={arXiv preprint arXiv: 2512.03350},
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year={2025}
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}
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```
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