Datasets:
File size: 3,220 Bytes
b0cd65e 5b6a822 66e59a1 b0cd65e 66e59a1 91d6d75 50ad690 2932440 66e59a1 6df2890 66e59a1 750ceef 66e59a1 0688b2f 66e59a1 da6f045 66e59a1 48d9e7f 3a3f83e 48d9e7f b3154ac 48d9e7f 66e59a1 b6b5493 66e59a1 b6b5493 66e59a1 b6b5493 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 | ---
license: odc-by
dataset_info:
config_name: ObjectNavType
features:
- name: path
dtype: string
- name: shard_id
dtype: int64
- name: offset
dtype: int64
- name: size
dtype: int64
- name: inflated_size
dtype: int64
splits:
- name: pkgs
num_bytes: 4065356
num_examples: 72620
download_size: 2028907
dataset_size: 4065356
configs:
- config_name: ObjectNavType
data_files:
- split: pkgs
path: ObjectNavType/pkgs-*
tags:
- object navigation
- indoor
- vla
- cross-embodiment
---
# RING-data
๐ [Project page](https://one-ring-policy.allen.ai)   ๐ป [GitHub](https://github.com/Ainaz99/OneRING)   ๐ [Paper](https://arxiv.org/pdf/2412.14401)
This dataset contains training episode data (actions, visual inputs, and other sensor data) with randomized embodiments for `ObjectNavType` tasks.
Please note that every package indexed by the parquet file can contain several instances of episode data.
## Data access
We recommend to use [bulk_download.py](bulk_download.py). For example,
```bash
python bulk_download.py --max_shards 1 --all /path/to/ring_data/
```
will download and extract one shard from the single available task configuration (`ObjectNavType`) under `/path/to/ring_data`.
To launch it you might need to install some dependencies, e.g., by:
```bash
pip install zstandard datasets huggingface_hub tqdm
```
## License
This dataset is licensed under [ODC-BY 1.0](https://opendatacommons.org/licenses/by/1-0/).
It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).
Some scenes in the episode data were generated using a subset of Ai2's Objaverse, consisting of CC-licensed 3D objects from third party sources.
The original license and creator attribution for the Objaverse objects used in this dataset are included in the scene metadata.
Please refer to the instructions below on how to download this information.
The scripts are licensed under [Apache 2.0](CODE_LICENSE).
### Scene license info
Assuming part or all of the data has been downloaded with the [bulk_download.py](bulk_download.py) script, e.g. by using the command shown above,
we can use [license_info.py](license_info.py) to access license info for each scene. For example,
```bash
python license_info.py --split val --house-index 3 /path/to/ring_data/
```
prints the available information for scene with index 3 from the `val` split including licensing and annotation sources (where appropriate) for each included object.
Note that each of the directories under the downloaded `train` and `val` subdirectories are named as the formatted index for the corresponding scene.
## BibTeX
```
@article{eftekhar2024onering_arxiv,
title={The One RING: a Robotic Indoor Navigation Generalist},
author={Eftekhar, Ainaz and Weihs, Luca and Hendrix, Rose and Caglar, Ege and Salvador, Jordi and Herrasti, Alvaro and Han, Winson and VanderBilt, Eli and Kembhavi, Aniruddha and Farhadi, Ali and Krishna, Ranjay and Ehsani, Kiana and Zeng, Kuo-Hao},
year={2024},
eprint={2412.14401},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2412.14401},
}
```
|