---
task_categories:
- image-text-to-text
tags:
- chart-qa
- visual-grounding
---

# CCQA: Curriculum Chart Question Answering

**CCQA** (Curriculum Chart Question Answering) is a three-level curriculum dataset introduced in the paper [CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning](https://huggingface.co/papers/2608.02833).

- **Paper:** [CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning](https://huggingface.co/papers/2608.02833)
- **Project Page:** https://xhguo7.github.io/CURV/
- **Repository:** https://github.com/xhguo7/CURV

## Dataset Summary

CCQA is generated entirely from templates, with no model in the loop. Every question, reasoning step, grounding box, and answer is computed deterministically from plotting data, guaranteeing ground-truth correctness at scale. The curriculum systematically progresses from basic single-operation reasoning to complex multi-chart compositional tasks.

## Citation

```bibtex
@article{guo2026curv,
    title={CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning},
    author={Guo, Xuehang and Zhang, Pingyue and Zhang, Ruiyi and Wang, Zhenhailong and Lyu, Hanrui and Ji, Heng and Sun, Tong and Wang, Qingyun and Li, Manling},
    journal={arXiv preprint arXiv:2608.02833},
    year={2026}
}
```