Create README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+tags:
+- iros 2025
+- navigation challenge
+- visual-language navigation (vln)
+- robotics dataset
+- matterport3d
+- interiornav
+- r2r dataset
+---
+<div id="top" align="center">
+    <img src="https://github.com/InternRobotics/InternNav/raw/main/challenge/demo.gif" width=60% >
+</div>
+
+# IROS-2025-Challenge-Nav Dataset
+
+## Dataset Summary 📖
+
+This dataset includes the R2R dataset and the InteriorNav dataset, constructed from Matterport3D scanned environments and InteriorNav(kujiale) high-quality modeled environments, respectively, with corresponding navigation trajectories and language instructions. 
+
+### Trajectory Statistics by Subset
+
+| Dataset          | Train | Val Seen        | Val Unseen | Test Unseen |
+|------------------|------------------------|-------------------|---------------------|------------------------|
+| VLN-PE-R2R       | 8,679 (stair-filtered) | 778               | 1,839               | 3,408                  |
+| InteriorNav      | 649                    | 44                | 99                  | 165                    |
+| **Total**        | **9,328**              | **822**           | **1,938**           | **3,573**              |
+
+
+# Get started 🔥    
+## Download the Dataset 
+```
+# Make sure git-lfs is installed (https://git-lfs.com)
+git lfs install
+
+git clone https://huggingface.co/datasets/InternRobotics/IROS-2025-Challenge-Nav
+
+# If you want to clone without large files - just their pointers
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/InternRobotics/IROS-2025-Challenge-Nav
+```
+
+
+## Dataset Structure 📁
+
+```
+vln_pe
+├── raw_data/                       # JSON files defining tasks, navigation goals, and dataset splits
+│   └── r2r/
+│       ├── train/
+│       ├── train/
+│       ├── val_seen/
+│       │   └── val_seen.json.gz
+│       ├── val_unseen/
+│       │   └── val_unseen.json.gz
+│       └── embeddings.json.gz
+└── traj_data                       # training sample data for two types of scenes
+    ├── interiornav/
+    │   ├── kujiale_xxxx.tar.gz  
+    │   └── ...
+    └── r2r/
+        ├── traj_index/
+        │   ├── data/
+        │   ├── meta/
+        │   └── videos/
+        └── ...
+```
+        
+
+# License and Citation
+All the data and code within this repo are under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Please consider citing our project if it helps your research.
+
+```BibTeX
+@misc{contributors2025internroboticsrepo,
+  title={IROS-2025-Challenge-Nav Colosseum},
+  author={IROS-2025-Challenge-Nav Colosseum contributors},
+  howpublished={\url{https://github.com/InternRobotics/InternNav/tree/main/challenge}},
+  year={2025}
+}
+```