Datasets:
Add robotics task category, paper link, and usage instructions
#1
by nielsr HF Staff - opened
README.md
CHANGED
|
@@ -1,9 +1,38 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
pretty_name: AION Dataset Files
|
|
|
|
|
|
|
| 4 |
---
|
| 5 |
|
| 6 |
# AION Dataset Files
|
| 7 |
|
| 8 |
-
Scenes, simulation assets, and data accompanying the paper
|
| 9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
pretty_name: AION Dataset Files
|
| 4 |
+
task_categories:
|
| 5 |
+
- robotics
|
| 6 |
---
|
| 7 |
|
| 8 |
# AION Dataset Files
|
| 9 |
|
| 10 |
+
Scenes, simulation assets, and data accompanying the paper **"AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning"**.
|
| 11 |
+
|
| 12 |
+
- **Paper:** [AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning](https://huggingface.co/papers/2601.15614)
|
| 13 |
+
- **Code:** [GitHub Repository](https://github.com/Zichen-Yan/AION)
|
| 14 |
+
|
| 15 |
+
## Dataset Usage
|
| 16 |
+
|
| 17 |
+
According to the official repository, you can download the dataset files using the Hugging Face CLI:
|
| 18 |
+
|
| 19 |
+
```bash
|
| 20 |
+
# Download and extract the main dataset files
|
| 21 |
+
huggingface-cli download ZichenYan/AION-dataset-files --repo-type dataset --include "data.zip" --local-dir ./
|
| 22 |
+
unzip data.zip
|
| 23 |
+
rm -f data.zip
|
| 24 |
+
|
| 25 |
+
# Download IsaacSim assets and scenes for evaluation
|
| 26 |
+
huggingface-cli download ZichenYan/AION-dataset-files --repo-type dataset --local-dir ./DroneSim --include "IsaacSimAssets/*" --include "Scenes/*"
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
## Citation
|
| 30 |
+
|
| 31 |
+
```bibtex
|
| 32 |
+
@article{yan2026aion,
|
| 33 |
+
title={AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning},
|
| 34 |
+
author={Yan, Zichen and Hou, Yuchen and Wang, Shenao and Gao, Yichao and Huang, Rui and Zhao, Lin},
|
| 35 |
+
journal={arXiv preprint arXiv:2601.15614},
|
| 36 |
+
year={2026}
|
| 37 |
+
}
|
| 38 |
+
```
|