Add dataset card for CCQA

README.md

@@ -0,0 +1,30 @@
+---
+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}
+}
+```