SinOCR and SinFUND

We present the SinOCR and SinFUND datasets, two comprehensive resources designed to advance Optical Character Recognition (OCR) and form understanding for the Sinhala language. SinOCR, the first publicly available and the most extensive dataset for Sinhala OCR to date, includes 100,000 images featuring printed text in 200 different Sinhala fonts and 1,135 images of handwritten text, capturing a wide spectrum of writing styles. SinFUND, the first fully annotated dataset of its kind, comprises 100 diverse, manually filled Sinhala forms, offering a robust foundation for developing template-free form understanding models. These datasets are crucial for addressing the challenges posed by paper-based documentation in low-resource languages, enhancing accuracy and efficiency in digital document processing. Both datasets aim to stimulate further research and innovation, providing valuable benchmarks for the OCR and form understanding communities. Access to these datasets will facilitate the development of more sophisticated models, promoting digital transformation and improved administrative processes in Sri Lanka and potentially other regions with similar linguistic challenges. The benchmarks will be published in a research article with the same title.本研究公开了SinOCR与SinFUND两类数据集，这两套综合性资源旨在推动僧伽罗语光学字符识别（Optical Character Recognition）与表单理解领域的发展。其中，SinOCR是目前首个公开可用、规模最大的僧伽罗语OCR数据集，共包含10万幅印刷文本图像（涵盖200种不同僧伽罗语字体）以及1135幅手写文本图像，覆盖了丰富多样的书写风格。SinFUND则是同类首个全标注数据集，包含100份多样化的人工填写僧伽罗语表单，为开发无模板表单理解模型提供了坚实的基础。上述数据集对于解决低资源语言纸质文档处理面临的各类挑战、提升数字文档处理的精度与效率至关重要。两类数据集均旨在推动相关领域的进一步研究与创新，为OCR及表单理解社区提供了极具价值的基准测试集。获取此类数据集将助力更精密复杂模型的研发，推动斯里兰卡乃至其他面临相似语言挑战的地区实现数字化转型与行政流程优化。该基准测试集相关成果将以同名研究论文形式发表。

搜集汇总

背景与挑战

背景概述

SinOCR and SinFUND数据集包含两个关键部分：SinOCR是首个公开且最全面的僧伽罗语光学字符识别（OCR）数据集，提供10万张印刷文本图像和1135张手写文本图像，覆盖多种字体和书写风格；SinFUND是首个完全注释的僧伽罗语表单理解数据集，包含100份手动填写的多样化表单，为开发无模板表单理解模型提供基础。这些数据集旨在解决低资源语言的文档处理难题，推动数字转型和研究创新。