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README.md

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 ---
 license: apache-2.0
 ---
+
+# 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="#">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.
+
+## 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 <!-- omit in toc -->
+
+| Family   | Bar     | Line    | Pie     | Radar   | Box Plot | Combination | Flowchart    | Mind Map     |
+| -------- | ------- | ------- | ------- | ------- | -------- | ----------- | ------------ | ------------ |
+| Category | Numeric | Numeric | Numeric | Numeric | Numeric  | Numeric     | Diagrammatic | Diagrammatic |
+
+### Visual Scenarios <!-- omit in toc -->
+
+| 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 <!-- omit in toc -->
+
+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**.