Datasets:
Tasks:
Image-to-Text
Modalities:
Image
Formats:
imagefolder
Size:
1K - 10K
ArXiv:
Tags:
Chart-Parsing
License:
| license: apache-2.0 | |
| task_categories: | |
| - image-to-text | |
| language: | |
| - zh | |
| - en | |
| tags: | |
| - Chart-Parsing | |
| pretty_name: ChartArena | |
| size_categories: | |
| - 1K<n<10K | |
| # ChartArena <!-- omit in toc --> | |
| **A Comprehensive Bilingual Benchmark for General Chart Parsing across Families, Scenarios, and Formats** | |
| <p align="center"> | |
| <a href="https://github.com/pspdada/ChartArena">Github Repo</a> • | |
| <a href="https://arxiv.org/abs/2606.01348">Paper</a> | |
| </p> | |
| ## Overview <!-- omit in toc --> | |
| **ChartArena** is a bilingual benchmark for evaluating the **chart parsing** capabilities of vision-language models. It covers the full difficulty spectrum of real-world charts, spanning eight chart families across three visual scenarios and two languages. | |
| <table align="center"> | |
| <p align="center"> | |
| <img src="docs/figures/ChartArena_overview.jpg" width="80%" /> | |
| </p> | |
| </table> | |
| ## Contents <!-- omit in toc --> | |
| - [Statistics](#statistics) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Format](#data-format) | |
| - [Usage](#usage) | |
| - [Citation](#citation) | |
| - [License](#license) | |
| ## Statistics | |
| | Item | Details | | |
| | ---------------- | --------------------------------------------------------------------- | | |
| | Chart Families | 8 (bar, line, pie, radar, box plot, combination, flowchart, mind map) | | |
| | Visual Scenarios | 3 (digital, printed, hand-drawn) | | |
| | Languages | 2 (Chinese, English) | | |
| Chart families | |
| | Family | Bar | Line | Pie | Radar | Box Plot | Combination | Flowchart | Mind Map | | |
| | -------- | ------- | ------- | ------- | ------- | -------- | ----------- | ------------ | ------------ | | |
| | Category | Numeric | Numeric | Numeric | Numeric | Numeric | Numeric | Diagrammatic | Diagrammatic | | |
| Visual scenarios | |
| | Scenario | Description | | |
| | ----------------- | ------------------------------------------ | | |
| | Digital Rendering | Charts rendered directly as digital images | | |
| | Printed Photo | Photos of printed charts | | |
| | Hand-drawn Photo | Photos of hand-drawn charts | | |
| Languages | |
| Bilingual: **Chinese (ZH)** and **English (EN)** | |
| ## Dataset Structure | |
| ``` | |
| data/ | |
| ├── ChartArena.jsonl # annotations for all samples | |
| └── images/ | |
| ``` | |
| ## Data Format | |
| Each line of `ChartArena.jsonl` is a JSON object: | |
| ```json | |
| { | |
| "img_path": "images/xxx.png", | |
| "chart_type": "柱状图", | |
| "img_type": "电子印刷", | |
| "lang_type": "中文", | |
| "anno": "..." | |
| } | |
| ``` | |
| | Field | Type | Description | | |
| | ------------ | ------ | ------------------------------------------------------------------------------------------------ | | |
| | `img_path` | string | Relative path from `data/`; also serves as the unique sample key | | |
| | `chart_type` | string | Chart family in Chinese (e.g. `柱状图` = bar, `流程图` = flowchart) | | |
| | `img_type` | string | Visual scenario in Chinese (`电子印刷` = digital, `印刷照片` = printed, `手绘照片` = hand-drawn) | | |
| | `lang_type` | string | Language of chart content (`中文` = Chinese, `英文` = English) | | |
| | `anno` | string | Ground-truth annotation | | |
| ## Usage | |
| Please refer to the [Github repository](https://github.com/pspdada/ChartArena) for inference and evaluation scripts. | |
| ```bash | |
| # Quick start | |
| git clone https://github.com/pspdada/ChartArena | |
| cd ChartArena | |
| pip install -r requirements.txt | |
| # Run inference | |
| python infer.py --api_type openai_compat --model_name <model> --base_url <url> | |
| # Score | |
| python judge.py | |
| # Generate analysis report | |
| python analyze.py | |
| ``` | |
| ## Citation | |
| ```bibtex | |
| % (coming soon) | |
| ``` | |
| ## License | |
| This dataset is released for **research purposes only**. | |