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---
license: cc-by-4.0
language:
- en
tags:
- robotics
---
<div style="display: flex;">
<img src="https://huggingface.co/datasets/nvidia/EVAL-175/resolve/main/gr1_behavior/0_Open%20the%20box.png" width="20%"/>
<img src="https://huggingface.co/datasets/nvidia/EVAL-175/resolve/main/gr1_env/14_Use%20the%20right%20hand%20to%20pick%20up%20paper%20cup%20to%20metal%20container.png" width="20%">
<img src="https://huggingface.co/datasets/nvidia/EVAL-175/resolve/main/gr1_env/28_Use%20the%20right%20hand%20to%20pick%20up%20the%20wooden%20spoon%20and%20perform%20a%20scooping%20motion%20between%20the%20two%20bowls.png" width="20%"/>
<img src="https://huggingface.co/datasets/nvidia/EVAL-175/resolve/main/gr1_env/3_Use%20the%20right%20hand%20to%20close%20the%20lid%20of%20the%20soup%20tureen.png" width="20%"/>
<img src="https://huggingface.co/datasets/nvidia/EVAL-175/resolve/main/gr1_object/0_Use%20the%20left%20hand%20to%20pick%20up%20dark%20green%20cucumber%20from%20on%20circular%20gray%20mat%20to%20above%20beige%20bowl..png" width="20%"/>
</div>
# EVAL-175
## Dataset Description:
123 initial frame pictures from the robot's perspective before performing various tasks in the lab.
This dataset is ready for commercial/non-commercial use.
## Dataset Owner(s):
NVIDIA Corporation (GEAR Lab)
## Dataset Creation Date:
May 1, 2025
## License/Terms of Use:
This dataset is governed by the Creative Commons Attribution 4.0 International License (CC-BY-4.0).<br>
This dataset was created using a Fourier GR1-T2 robot.
## Intended Usage:
Training image dataset for robotics.
## Dataset Characterization
**Data Collection Method**<br>
- Human <br>
**Labeling Method**<br>
- Human <br>
## Dataset Format
- PNG files<br>
- TXT files
## Dataset Quantification
Record Count - 123 images
181.1MB
## Reference(s):
[DreamGen WhitePaper](https://arxiv.org/html/2505.12705v1)<br>
[IDM-GR1 Model](https://huggingface.co/seonghyeonye/IDM_gr1)
## Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).