AQQD: Annotated Quranic Qira’at Dataset

Document Type

Article

Source of Publication

Data in Brief

Publication Date

8-1-2026

Abstract

AQQD (Annotated Quranic Qira'at Dataset) is an open audio dataset of Quranic recitations annotated across canonical Qira'at styles. The dataset is designed to support research in machine learning, speech and audio processing, computational linguistics, and Quranic studies. The current release contains 24,183 WAV audio files from 309 reciters and covers 70 selected Quranic Surahs segmented into representative verses and phonetic variation points. Of these, 23,111 recordings were collected from publicly available sources, including official reciter websites, the Midad repository, MP3Quran, and verified YouTube channels, while an additional controlled subset of 1,072 recordings was obtained from a single reciter recorded as a Mus'haf provided by Taibah University (Madinah, Saudi Arabia). This controlled subset enables comparative analysis across Qira'at styles while minimizing speaker variability. Recordings are standardized to 44.1 kHz, 16-bit, mono WAV format and range from 6 to 17 seconds in duration. Structured metadata is embedded directly in filenames, enabling efficient filtering, indexing, and preprocessing. The dataset is publicly available under a CC0 1.0 Public Domain license and supports a range of reuse scenarios, including Qira'at classification, phonetic variation analysis, recitation verification, speaker-independent audio modeling, and the development of educational technologies for Quranic studies.

ISSN

2352-3409

Publisher

Elsevier BV

Volume

67

Disciplines

Mathematics

Keywords

Audio, Classification, Machine learning, Phonetic variation, Quran, Recitation, Speech processing

Scopus ID

105041615321

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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