Add paper and project links to dataset card

README.md

@@ -1,3 +1,36 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- image-to-3d
+---
+
+# VolSplat Dataset
+
+This repository contains preprocessed data for [VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction](https://huggingface.co/papers/2509.19297).
+
+[**Project Page**](https://lhmd.top/volsplat/) | [**GitHub**](https://github.com/ziplab/VolSplat) | [**Paper**](https://huggingface.co/papers/2509.19297)
+
+## Introduction
+VolSplat is a multi-view feed-forward paradigm that replaces pixel alignment with voxel-aligned Gaussians for 3D Gaussian Splatting (3DGS). By directly predicting Gaussians from a predicted 3D voxel grid, it overcomes pixel alignment's reliance on error-prone 2D feature matching, ensuring robust multi-view consistency and adaptive density control.
+
+## Dataset Description
+Due to frequent link breakages for the original RealEstate10K (RE10K) and ACID datasets, the authors provide these preprocessed versions formatted for use with the VolSplat training and evaluation pipeline.
+
+The provided data includes:
+- **RE10K** (RealEstate10K): Preprocessed for torch compatibility.
+- **ACID**: Preprocessed for torch compatibility.
+
+These datasets are primarily used for novel view synthesis and 3D reconstruction tasks.
+
+## Citation
+
+If you find this dataset or the VolSplat method useful for your research, please cite:
+
+```bibtex
+@article{wang2025volsplat,
+  title={VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction},
+  author={Wang, Weijie and Chen, Yeqing and Zhang, Zeyu and Liu, Hengyu and Wang, Haoxiao and Feng, Zhiyuan and Qin, Wenkang and Chen, Feng and Zhu, Zheng and Chen, Donny Y. and Zhuang, Bohan},
+  journal={arXiv preprint arXiv:2509.19297},
+  year={2025}
+}
+```