lmms-lab/ChartQA

---
dataset_info:
features:
- name: type
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: image
dtype: image
splits:
- name: test
num_bytes: 122161182.0
num_examples: 2500
download_size: 72610993
dataset_size: 122161182.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---

<p align="center" width="100%">
<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%">
</p>

# Large-scale Multi-modality Models Evaluation Suite

> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`

🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)

# This Dataset

This is a formatted version of [ChartQA](https://github.com/vis-nlp/ChartQA). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@article{masry2022chartqa,
title={ChartQA: A benchmark for question answering about charts with visual and logical reasoning},
author={Masry, Ahmed and Long, Do Xuan and Tan, Jia Qing and Joty, Shafiq and Hoque, Enamul},
journal={arXiv preprint arXiv:2203.10244},
year={2022}
}
```

原始信息汇总

数据集概述

数据集信息

特征

• 类型: 字符串
• 问题: 字符串
• 答案: 字符串
• 图像: 图像

数据分割

• 测试集:
  • 字节数: 122161182.0
  • 样本数: 2500

数据大小

• 下载大小: 72610993
• 数据集大小: 122161182.0

配置

• 默认配置:
  • 数据文件路径: data/test-*

数据集来源

• 该数据集是ChartQA的格式化版本，用于lmms-eval管道中，以支持一键评估大型多模态模型。