metadata
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}
}