kppkkp/ChartSE

--- license: apache-2.0 task_categories: - question-answering language: - en - zh pretty_name: ChartY size_categories: - 10K<n<100K --- ## Use Guide 1. unzip imgs.zip in this folder. Except for PlotQA-test, all other images are already included here. 2. Due to the large number of images in PlotQA-test, if you need them, please download them from the [link](https://github.com/NiteshMethani/PlotQA) and place them in the imgs/PlotQA-test folder. 3. Evaluate code is here: [Github-OneChart](https://github.com/LingyvKong/OneChart) ## Acknowledgement Image Source - ChartQA-test: https://github.com/vis-nlp/ChartQA - PlotQA-test: https://github.com/NiteshMethani/PlotQA - ChartX-SE: https://github.com/UniModal4Reasoning/ChartVLM - ChartY: https://github.com/LingyvKong/OneChart This dataset is proposed by OneChart paper: [arxiv](https://arxiv.org/abs/2404.09987)

原始信息汇总

数据集概述

基本信息

• 许可证: Apache-2.0
• 任务类别: 问答
• 语言: 英语、中文
• 名称: ChartY
• 大小: 10K<n<100K

使用指南

• 数据集中的图像文件已包含在imgs.zip中，需解压使用。
• PlotQA-test部分的图像数量较多，如需使用，请从此链接下载并放置于imgs/PlotQA-test目录下。

评估代码

• 评估代码位于Github-OneChart。

图像来源

• ChartQA-test: https://github.com/vis-nlp/ChartQA
• PlotQA-test: https://github.com/NiteshMethani/PlotQA
• ChartX-SE: https://github.com/UniModal4Reasoning/ChartVLM
• ChartY: https://github.com/LingyvKong/OneChart

数据集来源

• 该数据集由OneChart论文提出，论文链接为arxiv。