Add dataset card and metadata for SeeU45

Hi! I'm Niels from the community science team at Hugging Face. I've updated the dataset card for the SeeU45 dataset to include:
- Task category metadata (`image-to-video`).
- Links to the paper, project page, and official GitHub repository.
- A sample usage section for downloading the dataset via the Hugging Face CLI, as documented in the official repository.
- The BibTeX citation for the work.

README.md

@@ -1,3 +1,35 @@
 ---
-{}
----
+task_categories:
+- image-to-video
+---
+
+# SeeU45 Dataset
+
+This repository contains the SeeU45 dataset introduced in the paper [SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation](https://huggingface.co/papers/2512.03350).
+
+SeeU is a framework that learns continuous 4D dynamics from sparse and monocular 2D frames, enabling the generation of unseen visual content through a 2D $\to$ 4D $\to$ 2D learning process.
+
+- **Project Page:** [https://yuyuanspace.com/SeeU/](https://yuyuanspace.com/SeeU/)
+- **GitHub Repository:** [https://github.com/pandayuanyu/SeeU](https://github.com/pandayuanyu/SeeU)
+
+## Sample Usage
+
+### Download Pre-Processed Dataset
+You can download the pre-processed SeeU45 Dataset using the `huggingface_hub` CLI as shown in the official documentation:
+
+```bash
+pip install "huggingface_hub[hf_transfer]"
+
+hf download pandaphd/SeeU45_PreProcessed --repo-type dataset --local-dir preproc/SeeU45
+```
+
+## Citation
+
+```bibtex
+@article{Yuan_2025_SeeU,
+  title={{SeeU}: Seeing the Unseen World via 4D Dynamics-aware Generation},
+  author={Yuan, Yu and Wickremasinghe, Tharindu and Nadir, Zeeshan and Wang, Xijun and Chi, Yiheng and Chan, Stanley H.},
+  journal={arXiv preprint arXiv: 2512.03350},
+  year={2025}
+}
+```