README.md

---
license: cc-by-nc-sa-3.0
pretty_name: FreeGraspData
size_categories:
- n<1K
tags:
- robotics
- grasping
- language
- images
dataset_info:
  features:
  - name: __index_level_0__
    dtype: int64
  - name: image
    dtype: image
  - name: sceneId
    dtype: int64
  - name: queryObjId
    dtype: int64
  - name: annotation
    dtype: string
  - name: groundTruthObjIds
    dtype: string
  - name: difficulty
    dtype: string
  - name: ambiguious
    dtype: bool
  - name: split
    dtype: string
language:
- en
---
#  Free-form language-based robotic reasoning and grasping Dataset: FreeGraspData

- Homepage: https://tev-fbk.github.io/FreeGrasp/
- Paper: https://arxiv.org/abs/2503.13082

## Dataset Description


## Introduction



## How to use: an example of visualization


## Data Fields
```
index: An integer representing the unique identifier for each example.

```

## ArXiv link
https://arxiv.org/abs/2503.13082

## APA Citaion
Jiao, R., Fasoli, A., Giuliari, F., Bortolon, M., Povoli, S., Mei, G., ... & Poiesi, F. (2025). Free-form language-based robotic reasoning and grasping. arXiv preprint arXiv:2503.13082.

## Bibtex
```
@article{jiao2025free,
  title={Free-form language-based robotic reasoning and grasping},
  author={Jiao, Runyu and Fasoli, Alice and Giuliari, Francesco and Bortolon, Matteo and Povoli, Sergio and Mei, Guofeng and Wang, Yiming and Poiesi, Fabio},
  journal={arXiv preprint arXiv:2503.13082},
  year={2025}
}
```
## Acknowledgement



## Partners