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UniCalli_dataset

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UniCalli Dataset

A large-scale Chinese calligraphy dataset with dense annotations, built for the UniCalli project.

Overview

The dataset contains Chinese calligraphy images collected from historical works spanning multiple dynasties, covering 95+ calligraphy masters and 5 major script styles. Each sample is annotated with bounding boxes, modern text transcriptions, author attribution, and font style labels.

Webpage

Project Page: https://envision-research.github.io/UniCalli/
GitHub: https://github.com/EnVision-Research/UniCalli
HuggingFace Model: https://huggingface.co/TSXu/Unicalli_Pro
HuggingFace Demo: https://huggingface.co/spaces/TSXu/UniCalli_Dev
ModelScope: https://www.modelscope.cn/models/tianshuo/UniCalli-base
arXiv: https://arxiv.org/abs/2510.13745

Citation

If you use this dataset in your research, please cite:

@article{xu2025unicalli,
  title={UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy},
  author={Xu, Tianshuo and Wang, Kai and Chen, Zhifei and Wu, Leyi and Wen, Tianshui and Chao, Fei and Chen, Ying-Cong},
  journal={arXiv preprint arXiv:2025.13745},
  year={2025}
}

license: cc-by-nc-nd-4.0

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Paper for TSXu/UniCalli_dataset

UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy

Paper • 2510.13745 • Published Oct 15, 2025 • 1