Update dataset card with paper link, code, and usage instructions

Hi, I'm Niels, part of the community science team at Hugging Face! This PR improves the dataset card by:
- Adding the `other` task category to the metadata.
- Linking the dataset to the corresponding research paper on Hugging Face Papers ([2506.16265](https://huggingface.co/papers/2506.16265)).
- Including a direct link to the official GitHub repository.
- Adding installation and usage instructions directly from the source repository to help researchers get started with the official implementation.

README.md

@@ -1,16 +1,42 @@
 ---
 license: cc-by-4.0
+task_categories:
+- other
 tags:
-  - rockfall
-  - geomonitoring
-  - pointcloud
-  - rgb-image
+- rockfall
+- geomonitoring
+- pointcloud
+- rgb-image
 ---
 
-# Rockfall Simulator dataset
+# Rockfall Simulator Dataset
 
-This dataset contains simulated rockfall measurement dataset using a physical model. For detailed documentation, usage instructions, and data description, please refer to the GitHub repository:  
-https://github.com/zhaoyiww/fusion4landslide. Relevant arXiv paper: arxiv.org/abs/2506.16265.
+This dataset contains simulated rockfall measurement data using a physical model, as presented in the paper [Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images](https://huggingface.co/papers/2506.16265).
+
+[**GitHub Repository**](https://github.com/zhaoyiww/fusion4landslide) | [**Paper**](https://huggingface.co/papers/2506.16265)
+
+## Usage
+
+To use this dataset with the official implementation, follow the steps below from the [GitHub repository](https://github.com/zhaoyiww/fusion4landslide):
+
+### Installation
+
+```bash
+git clone --recursive https://github.com/zhaoyiww/fusion4landslide.git
+cd fusion4landslide
+bash install.sh
+```
+
+### Running the pipeline
+
+Before running, modify the corresponding config file in `/configs/test/[method]_[dataset].yaml`, and update any necessary parameters in `main_[method].py`. Then, run the main pipeline using:
+
+```bash
+python main_fusion.py          # run for TLS+RGB fusion method
+python main_rgb_guided.py      # run for RGB-Guided method
+python main_f2s3.py            # run for F2S3 baseline
+python main_piecewise_icp.py   # run for Piecewise ICP baseline
+```
 
 ## License
 
@@ -18,12 +44,22 @@ This dataset is licensed under the [Creative Commons Attribution 4.0 Internation
 
 ## Citation
 
-If you use this dataset, please cite:
+If you use this dataset, please cite the following works:
 
 ```bibtex
-@inproceedings{Wang2025RGB4landslide,
-  title={An Approach for RGB-Guided Dense 3D Displacement Estimation in TLS-Based Geomonitoring},
-  author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Meyer, Nicholas and Medic, Tomislav and Wieser, Andreas},
-  journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
+@preprint{wang2025fusion4landslide,
+  title={Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images},
+  author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Medic, Tomislav and Wieser, Andreas},
+  journal={arXiv preprint},
   year={2025},}
+```
+
+```bibtex
+@article{wang2025RGB4landslide,
+  title={An approach for rgb-guided dense 3d displacement estimation in tls-based geomonitoring},
+  author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Meyer, Nicholas and Medi{\'c}, Tomislav and Wieser, Andreas},
+  journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
+  pages={953--960},
+  year={2025},
+}
 ```