Al-Shaibani Maged S, Alyafeai Zaid, Ahmad Irfan
Information and Computer Science Department, KFUPM, Dhahran 31261, Saudi Arabia.
Data Brief. 2020 Nov 4;33:106497. doi: 10.1016/j.dib.2020.106497. eCollection 2020 Dec.
In this data article, we report a dataset related to the research titled "[2]. The dataset was collected from a large repository of Arabic poems, website [1]. The data collection was done using a Python script that scrapes the website to find the poems and their associated meters. The dataset contains the verses and their corresponding meter classes. Meter classes are represented as numbers from 0 to 13. The dataset can be highly useful for further research in order to improve the field of Arabic poems' meter classification.
在本数据文章中,我们报告了一个与题为“[2]”的研究相关的数据集。该数据集是从一个大型阿拉伯诗歌库网站[1]收集而来的。数据收集是通过一个Python脚本完成的,该脚本对网站进行抓取以找到诗歌及其相关的格律。数据集包含诗句及其相应的格律类别。格律类别用从0到13的数字表示。该数据集对于进一步研究以改进阿拉伯诗歌格律分类领域可能非常有用。