Data Set Information:

该数据集最重要的特点是其使用简单且有良好的文档记录，可广泛用于有关库尔德索拉尼新闻和文章的各种文本分析研究。

这些文件包括八个类别，即体育、宗教、艺术、经济、教育、社会、风格和健康。每个文档由500个文本文档组成，其中语料库的总大小为4007个文本文件。

数据集和文档可以自由访问，以便获得可重复的实验评估结果。

Attribute Information:

There is four collection:
- ST-Ds datasets, just stop words elimination is performed by using Kurdish preprocessing-step approach.
- The pre-ds dataset, Kurdish preprocessing-step approach is used.
- The Pre+TW-Ds dataset, TF?—IDF term weighting on the Pre-Ds dataset is performed.
- Orig-Ds datasets, no process is used which is the original dataset.

Relevant Papers:

[1] Arazo M. Mustafa and Tarik A. Rashid,a€? Kurdish Stemmer Pre-processing Steps for Improving Information Retrievala€?, Journal of Information Science, First published date: january-01-2017, 10.1177/0165551516683617.
[2] Tarik A. Rashid, Arazo M. Mustafa and Ari M. Saeed, 2017.'A Robust Categorization System for Kurdish Sorani Text documents'. Information Technology Journal, 16: 27-34.
[3] Tarik A. Rashid, Arazu M. Mustafa, Ari M. Saeed Automatic Kurdish Text Classification Using KDC 4007 Dataset, accepted in Springer book, Series Title: Lecture Notes on Data Engineering and Communications Technologies: Book title: Advances in Internetworking, Data & Web Technologies, Indexing: The books of this series are submitted to ISI Proceedings, EI, Scopus, metaPress, Springerlink, 2017.

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Arazo M. Mustafa, (arazo.2007 '@' yahoo.com),
School of Computer Science University of Sulaimania, Kurdistan, Iraq