Update README.md

README.md

@@ -1,3 +1,86 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-4.0
+language:
+- en
+- zh
+tags:
+- Audio
+- ImpactSound
+size_categories:
+- 100M<n<1B
+---
+
+# SonicGauss Dataset
+
+This dataset contains processed **ObjectFolder 2.0** and **ObjectFolder Real** data for training the [SonicGauss](https://chunshi.wang/SonicGauss/) model - a position-aware physical sound synthesis framework for 3D Gaussian representations.
+
+## Dataset Description
+
+The dataset includes:
+- **3D Gaussian Splatting (3DGS) PLY files** extracted from object scans
+- **Impact sound recordings** at various positions
+- **Rendered images** from multiple viewpoints
+- **Training/validation split files** in JSON format
+
+### Dataset Statistics
+
+- **ObjectFolder 2.0**: 1,000 objects with synthetic impact sounds
+- **ObjectFolder Real**: Real-world recordings with diverse materials
+- **Total Size**: ~24.7 GB (split archive)
+
+## Dataset Structure
+
+```
+datas/
+├── objectfolder_2.0_train.json
+├── objectfolder_2.0_val.json
+├── objectfolder_real_train.json
+├── objectfolder_real_val.json
+├── OF_Real/
+│   └── ObjectFolderResults/
+└── OF_2.0/
+    ├── audio_results/    # Impact sound recordings (.wav)
+    └── vision_results/   # 3DGS PLY files (.ply)
+```
+
+## Usage
+
+```bash
+# Download using huggingface-cli
+pip install huggingface-hub
+huggingface-cli download AiEson2/SonicGauss --repo-type dataset --local-dir ./datas/
+```
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@inproceedings{wang2025sonicgauss,
+  title={SonicGauss: Position-Aware Physical Sound Synthesis for 3D Gaussian Representations},
+  author={Wang, Chunshi and Li, Hongxing and Luo, Yawei},
+  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
+  pages={10886--10895},
+  year={2025}
+}
+
+@inproceedings{gao2023objectfolder,
+  title={The objectfolder benchmark: Multisensory learning with neural and real objects},
+  author={Gao, Ruohan and Dou, Yiming and Li, Hao and Agarwal, Tanmay and Bohg, Jeannette and Li, Yunzhu and Fei-Fei, Li and Wu, Jiajun},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={17276--17286},
+  year={2023}
+}
+
+@inproceedings{gao2022objectfolder,
+  title={Objectfolder 2.0: A multisensory object dataset for sim2real transfer},
+  author={Gao, Ruohan and Si, Zilin and Chang, Yen-Yu and Clarke, Samuel and Bohg, Jeannette and Fei-Fei, Li and Yuan, Wenzhen and Wu, Jiajun},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={10598--10608},
+  year={2022}
+}
+```
+
+## License
+
+This dataset is derived from ObjectFolder and is distributed under the same terms. Please refer to the original [ObjectFolder](https://objectfolder.stanford.edu/) project for licensing details.