Calliar

Calliar是由法赫德国王石油与矿业大学创建的一个在线阿拉伯书法数据集，包含2500个句子，用于捕捉多种书法风格。数据集详细记录了笔触、字符、单词和句子的信息，适用于从笔触到句子级别的预测任务。Calliar涵盖了Diwani、Thuluth、Farisi等多种书法风格，旨在通过数字化保存和研究阿拉伯书法艺术，同时支持光学字符识别和书法生成等应用。

Calliar is an online Arabic calligraphy dataset developed by King Fahd University of Petroleum and Minerals. It contains 2500 sentences and is designed to capture diverse calligraphy styles. The dataset meticulously records information at the stroke, character, word, and sentence levels, making it suitable for prediction tasks spanning from stroke-level to sentence-level. Calliar covers multiple calligraphy styles including Diwani, Thuluth, Farisi, and others. It aims to digitally preserve and conduct research on Arabic calligraphy art, while supporting applications such as optical character recognition (OCR) and calligraphy generation.