MetRec: A dataset for meter classification of arabic poetry

Maged S. Al-shaibani; Zaid Alyafeai; Irfan Ahmad

doi:10.1016/j.dib.2020.106497

MetRec: A dataset for meter classification of arabic poetry

Maged S. Al-shaibani
, Zaid Alyafeai
, Irfan Ahmad^*

^*Corresponding author for this work

Department of Information and Computer Science

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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.

Original language	English
Article number	106497
Journal	Data in Brief
Volume	33
DOIs	https://doi.org/10.1016/j.dib.2020.106497
State	Published - Dec 2020

Bibliographical note

Publisher Copyright:
© 2020

Keywords

Arabic
classification
meter
poetry
prosody

ASJC Scopus subject areas

General

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10.1016/j.dib.2020.106497

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title = "MetRec: A dataset for meter classification of arabic poetry",

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{\textquoteright} meter classification.",

keywords = "Arabic, classification, meter, poetry, prosody",

author = "Al-shaibani, \{Maged S.\} and Zaid Alyafeai and Irfan Ahmad",

note = "Publisher Copyright: {\textcopyright} 2020",

year = "2020",

month = dec,

doi = "10.1016/j.dib.2020.106497",

language = "English",

volume = "33",

journal = "Data in Brief",

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T2 - A dataset for meter classification of arabic poetry

AU - Al-shaibani, Maged S.

AU - Alyafeai, Zaid

AU - Ahmad, Irfan

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

KW - Arabic

KW - classification

KW - meter

KW - poetry

KW - prosody

UR - https://www.scopus.com/pages/publications/85095719644

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DO - 10.1016/j.dib.2020.106497

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VL - 33

JO - Data in Brief

JF - Data in Brief

M1 - 106497

ER -

MetRec: A dataset for meter classification of arabic poetry

Abstract

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Keywords

ASJC Scopus subject areas

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