DataSet for Arabic Classification

The dataset is a collection of Arabic texts, which covers modern Arabic language used in newspapers articles. The text contains alphabetic, numeric and symbolic words. The existence of numeric and symbolic words in this dataset could tell the efficiency and robustness of many Arabic text classification and indexing documents. The dataset consists of 111,728 documents (cf. Table 1) and 319,254,124 words (cf. Table 2) structured in text files, and collected from 3 Arabic online newspapers: Assabah [9], Hespress [10] and Akhbarona [11] using semi-automatic web crawling process. The documents in the dataset are categorized into 5 classes: sport, politic, culture, economy and diverse. The number of documents and words for each class varies from one class to another (cf. Tables 1-2).

本数据集为阿拉伯语文本集合，涵盖报纸文章中使用的现代阿拉伯语。文本包含字母、数字与符号类词汇。本数据集收录的数字与符号类词汇，可用于测评各类阿拉伯文本分类与文档索引任务的效率与鲁棒性。该数据集包含111,728份文档（详见表1）与319,254,124个词汇（详见表2），以文本文件形式组织，并通过半自动网络爬虫流程从《Assabah》[9]、《Hespress》[10]与《Akhbarona》[11]三家阿拉伯在线报纸采集所得。数据集中的文档被划分为5个类别：体育、政治、文化、经济与综合类。各类别的文档与词汇数量各不相同（详见表1至表2）。