update readme.txt

for more detais in DL3DV-Blur

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+
+# CoherentGS-DL3DV-Blur Dataset
+
+## Motivation 💡
+
+To rigorously assess the generalization capability of **CoherentGS** in complex, unconstrained outdoor environments, we establish a new benchmark named **$\text{DL3DV-Blur}$**. This benchmark is derived from five diverse scenes within the DL3DV-10K dataset \cite{ling2024dl3dv}.
+
+> **Citation Reference:** Ling et al. (2024). DL3DV-10K: A Large-scale Dataset for Deep Learning-based 3D Vision. *[Please supplement with actual paper information]*.
+
+## Dataset Source 🔗
+
+This dataset is constructed from select scenes of the official DL3DV-10K repository.
+
+- **DL3DV-10K GitHub:** https://github.com/DL3DV-10K/Dataset
+
+## Data Format 📂
+
+The dataset structure adheres to standard 3D vision dataset formats, where each scene (e.g., `0001`) contains sub-folders for different view configurations (e.g., `3views`, `6views`, `9views`).
+
+### Structure Overview
+
+The hierarchical structure of the data is as follows:
+
+```text
+dl3dv/
+├── 0641-0720/
+│   ├── 0001/                  # Scene ID 0001
+│   │   ├── .work/
+│   │   ├── 3views/            # 3-View Sub-set
+│   │   │   ├── images/            # Raw input image files 
+│   │   │   ├── ref_image/         # Reference Image
+│   │   │   ├── sparse/            # Sparse reconstruction results 
+│   │   │   ├── cameras.json       # Camera parameter file
+│   │   │   ├── ext_metadata.json  # Additional metadata
+│   │   │   ├── hold=7             # Test set configuration (e.g., hold-out count)
+│   │   │   ├── intrinsics.json    # Camera intrinsics
+│   │   │   ├── poses_bounds.npy   # Camera poses and scene bounds
+│   │   │   ├── train_test_split_3.json # Train/Test split definition
+│   │   │   └── transforms.json    # Coordinate transformation info (e.g., NeRF/GS format)
+│   │   ├── 6views/            # 6-View Sub-set
+│   │   └── 9views/            # 9-View Sub-set
+│   ├── 0002/
+│   ├── 0003/
+│   ├── 0004/
+│   └── 0005/
+└── ...