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README.md
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---
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dataset_info:
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features:
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- name: sceneId
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dtype: string
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- name: image
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dtype: image
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splits:
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- name: train
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num_bytes: 948991926.0
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num_examples: 900
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download_size: 933926439
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dataset_size: 948991926.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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license: cc-by-nc-sa-3.0
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pretty_name: FreeGraspData
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size_categories:
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- n<1K
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tags:
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- robotics
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- grasping
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- language
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- images
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dataset_info:
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features:
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- name: sceneId
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dtype: string
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- name: image
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dtype: image
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language:
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- en
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---
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# Free-form language-based robotic reasoning and grasping Dataset: FreeGraspData
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## Dataset Description
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- Homepage: https://tev-fbk.github.io/FreeGrasp/
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- Paper: https://arxiv.org/abs/2503.13082
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## Introduction
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## How to use: an example of visualization
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## Data Fields
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```
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index: An integer representing the unique identifier for each example.
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```
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## ArXiv link
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https://arxiv.org/abs/2503.13082
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## APA Citaion
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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.
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## Bibtex
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```
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@article{jiao2025free,
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title={Free-form language-based robotic reasoning and grasping},
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author={Jiao, Runyu and Fasoli, Alice and Giuliari, Francesco and Bortolon, Matteo and Povoli, Sergio and Mei, Guofeng and Wang, Yiming and Poiesi, Fabio},
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journal={arXiv preprint arXiv:2503.13082},
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year={2025}
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}
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```
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## Acknowledgement
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## Partners
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