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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 πŸ“–
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 πŸ”₯
## 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 πŸ“
```
vln_pe
β”œβ”€β”€ raw_data/ # JSON files defining tasks, navigation goals, and dataset splits
β”‚ └── r2r/
β”‚ β”œβ”€β”€ mini/
β”‚ β”‚ └── mini.json.gz # For quick Model and Environments validation
β”‚ β”œβ”€β”€ train/
β”‚ β”œβ”€β”€ val_seen/
β”‚ β”‚ └── val_seen.json.gz
β”‚ β”œβ”€β”€ val_unseen/
β”‚ β”‚ └── val_unseen.json.gz
β”‚ └── embeddings.json.gz
└── traj_data # training sample data for two types of scenes
β”œβ”€β”€ interiornav/
β”‚ β”œβ”€β”€ kujiale_xxxx.tar.gz
β”‚ └── ...
└── r2r/
β”œβ”€β”€ traj_index/
β”‚ β”œβ”€β”€ data/
β”‚ β”œβ”€β”€ meta/
β”‚ └── 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}
}
```