| task_categories: | |
| - image-text-to-text | |
| language: | |
| - en | |
| tags: | |
| - chart-understanding | |
| - vlm | |
| - multimodal | |
| - clip | |
| # Data for CLIP Training on Chart Task | |
| This repository contains the CLIP Training data implementation from our paper "[On the Perception Bottleneck of VLMs for Chart Understanding](https://arxiv.org/abs/2503.18435)". | |
| Code: https://github.com/hkust-nlp/Vision4Chart | |
| ## Data Details | |
| - Data Source: Mainly chart tasks data like ChartQA, FigureQA, and DVQA. | |
| - Data overview: Each data contains image, a correct caption and wrong caption. | |
| ## Citation | |
| If you find this data useful in your research, please consider citing our paper: | |
| ```bibtex | |
| @misc{liu2025perceptionbottleneckvlmschart, | |
| title={On the Perception Bottleneck of VLMs for Chart Understanding}, | |
| author={Junteng Liu and Weihao Zeng and Xiwen Zhang and Yijun Wang and Zifei Shan and Junxian He}, | |
| year={2025}, | |
| eprint={2503.18435}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2503.18435}, | |
| } | |
| ``` |