DSL Urdu News

DSL Urdu News数据集是由德国人工智能研究中心的研究人员创建的公开可用数据集，包含662篇手动标记为六个不同类别的文档，涵盖健康科学、体育、商业、农业、世界和娱乐等领域。数据集总词数约为130,000，旨在为乌尔都语文本分类提供基准性能。该数据集的创建过程涉及从多个网站爬取文本，并通过Beautiful Soup进行解析。应用领域包括文本分类、情感分析和信息检索等，旨在解决乌尔都语处理中的数据稀缺问题。

The DSL Urdu News Dataset is a publicly available dataset created by researchers at the German Research Centre for Artificial Intelligence. It contains 662 manually annotated documents categorized into six distinct categories: health sciences, sports, business, agriculture, world affairs, and entertainment. The total word count of the dataset is approximately 130,000, and it is designed to serve as a benchmark for Urdu text classification tasks. The construction of the dataset involved crawling text from multiple websites and parsing the harvested content using Beautiful Soup. Its applicable domains include text classification, sentiment analysis and information retrieval, among others. This dataset aims to address the issue of data scarcity in Urdu language processing.