Datasets:
license: apache-2.0
task_categories:
- visual-question-answering
language:
- en
tags:
- Spatial Reasoning
size_categories:
- n<1K
6-DoF SpatialBench
Paper_link: https://arxiv.org/abs/2502.13143
Project Page: https://qizekun.github.io/sofar/
Github Code: https://github.com/qizekun/SoFar
Previous spatial perception LLMs mainly focused on operations of positional relationships, such as left-right, near-far, size, and counting, etc. In actual object manipulation, the orientation of the object is also a very important factor. Therefore, we proposed a new 6-DoF spatial perception benchmark dataset for evaluating the model's reasoning capabilities in position, orientation, and position-orientation relationships. We evaluated existing spatial perception models on this benchmark dataset.
The evaluation baseline is SoFar, a 6-DoF system for spatial reasoning and robotic manipulation.
Download the images.zip and extract it to ./datasets/6dof_spatialbench/.
The overall directory structure should be:
│SoFar/datasets/6dof_spatialbench/
├── spatial_data.json
└── images/
├── 0.png
└── ...
| Data file name | Size |
|---|---|
| images.zip | 531.7 MB |
| spatial_data.json | 0.8 KB |