Name: MetRec
Description: More than 40K of verses with their meters
Provider: kfupm
Paper Title: MetRec: A dataset for meter classification of arabic poetry
Tasks: meter classification
Venue Name: Data in brief
Authors: Maged S. Al-shaibani,Zaid Alyafeai,Irfan Ahmad
Abstract: In this data article, we report a dataset related to the research titled “Meter Classification of Arabic Poems Using Deep Bidirectional Recurrent Neural Networks”[2]. The dataset was collected from a large repository of Arabic poems, Aldiwan 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.