metadata
dataset_info:
features:
- name: image
dtype: image
- name: question
dtype: string
- name: answer
dtype: string
- name: dataset
dtype: string
splits:
- name: train
num_bytes: 431968245
num_examples: 951
download_size: 146508804
dataset_size: 431968245
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- visual-question-answering
- image-feature-extraction
language:
- fr
Description
French translation of the lmms-lab/HallusionBench dataset (only the split image is kept) that we processed.
Citations
guan2023hallusionbench,
title={HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models},
author={Tianrui Guan and Fuxiao Liu and Xiyang Wu and Ruiqi Xian and Zongxia Li and Xiaoyu Liu and Xijun Wang and Lichang Chen and Furong Huang and Yaser Yacoob and Dinesh Manocha and Tianyi Zhou},
year={2023},
eprint={2310.14566},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{liu2023mitigating,
title={Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning},
author={Fuxiao Liu and Kevin Lin and Linjie Li and Jianfeng Wang and Yaser Yacoob and Lijuan Wang},
year={2023},
eprint={2306.14565},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{liu2023mmc,
title={MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning},
author={Fuxiao Liu and Xiaoyang Wang and Wenlin Yao and Jianshu Chen and Kaiqiang Song and Sangwoo Cho and Yaser Yacoob and Dong Yu},
year={2023},
eprint={2311.10774},
archivePrefix={arXiv},
primaryClass={cs.CL}
}