Update README.md

README.md

@@ -6,4 +6,76 @@ tags:
 - engineering
 size_categories:
 - 100M<n<1B
----
+---
+
+# 🏗️ BridgePoint-Seg Dataset
+
+**BridgePoint-Seg** is a synthetic 3D point cloud dataset developed for large-scale masonry bridge segmentation. It provides training and test sets of point clouds with detailed semantic labels across straight and curved masonry bridges.
+
+## 📁 Dataset Structure
+
+```
+BridgePoint-Seg/
+├── syn_data/
+│   ├── train/
+│   │   ├── straight_bridge/      # 2,177 training samples
+│   │   └── curved_bridge/        # 1,500 training samples
+│   └── test/
+│       ├── straight_bridge/      # 87 test samples
+│       └── curved_bridge/        # 500 test samples
+```
+
+Each point cloud sample includes:
+- `points.npz`: A NumPy file containing a point cloud of shape *(N, 3)* with key `'xyz'`.
+- `points_label.npz`: A NumPy file containing per-point semantic labels with key `'sem_label'`.
+
+## 🧾 File Format
+
+| File               | Content                        | Key         | Shape        |
+|--------------------|--------------------------------|-------------|--------------|
+| `points.npz`       | 3D coordinates of point cloud  | `xyz`       | *(N, 3)*     |
+| `points_label.npz` | Semantic labels per point      | `sem_label` | *(N,)*       |
+
+## 📊 Statistics
+
+| Set        | Category         | Samples |
+|------------|------------------|---------|
+| `train`    | `straight_bridge`| 2,177   |
+| `train`    | `curved_bridge`  | 1,500   |
+| `test`     | `straight_bridge`| 87      |
+| `test`     | `curved_bridge`  | 500     |
+
+## 🧠 Applications
+
+BridgePoint-Seg supports research on:
+- Semantic segmentation of large-scale point clouds
+- Generalization to bridge structures with different geometries
+- Training lightweight deep learning architectures for infrastructure monitoring
+
+## Citations
+
+If you find the code is beneficial to your research, please consider citing:
+
+```cite
+@article{jing2024lightweight,
+  title={A lightweight Transformer-based neural network for large-scale masonry arch bridge point cloud segmentation},
+  author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
+  journal={Computer-Aided Civil and Infrastructure Engineering},
+  year={2024},
+  publisher={Wiley Online Library}
+}
+
+@article{jing2022segmentation,
+  title={Segmentation of large-scale masonry arch bridge point clouds with a synthetic simulator and the BridgeNet neural network},
+  author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
+  journal={Automation in Construction},
+  volume={142},
+  pages={104459},
+  year={2022},
+  publisher={Elsevier}
+}
+```
+
+## License
+
+Our work is subjected to MIT License.