license: cc-by-nc-4.0
task_categories:
- audio-classification
- automatic-speech-recognition
language:
- ar
size_categories:
- 1M<n<10M
tags:
- arabic
- arabic-speech
- ASR
- quran
pretty_name: 'Tadabur: A Large-Scale Quran Audio Dataset'
Tadabur: A Large-Scale Quran Audio Dataset
Tadabur is a large-scale, high-diversity Qur’anic speech dataset designed to advance research in Qur’anic Automatic Speech Recognition (ASR), reciter modeling, tajwīd-aware speech processing, and prosodic analysis.
It is one of the most comprehensive publicly available collections of Qur’anic recitation audio to date.
🔗 Paper: Tadabur: A Large-Scale Quran Dataset
🔗 Github https://github.com/fherran/iqraa-dataset
📊 Dataset Summary
| Property | Value |
|---|---|
| Total Audio Duration | ~2,900 hours |
| Verse-Level Segments | 402,718 |
| Distinct Reciters | 312+ |
| Surahs Covered | 114 (complete Qur’an) |
| Verses Covered | 6,236 |
| Language | Classical Arabic (Qur’anic) |
| Alignment | Verse-level + word-level timestamps |
| License | Apache 2.0 |
Iqraa captures wide acoustic and stylistic variation, including:
- Multiple recitation styles (murattal, mujawwad, etc.)
- Diverse recording conditions
- Variable recitation speed and melodic patterns
🎯 Supported Tasks
Iqraa supports a broad range of speech and audio research tasks:
- Automatic Speech Recognition (ASR)
- Forced alignment & word-level timestamping
- Reciter / speaker identification
- And more
🧩 Dataset Structure
Each example in the dataset consists of two components:
- Audio file containing a single Quran verse
- Metadata file (JSON) describing the verse, reciter, and word alignment
The structure of each example is as follows:
{
"reciter_id": ...,
"surah_id": ...,
"ayah_id": ...,
"word_alignments": [...],
"text_ar_simple": "...",
"text_ar_uthmani": "...",
"ayah_duration_s": ...,
"audio_filename": "..."
}
📝 Notes
Some reciters may appear multiple times for the same surah and ayah. These repetitions intentionally capture natural variation in recitation, including differences in pace, melody, pronunciation, and recording conditions.
⚖️ Licensing
This dataset is released under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license.
For research and educational purposes only.
Attribution is required.
🕌 Ethical & Cultural Considerations
The Qur’an holds deep religious and cultural significance.
Iqraa is intended solely for respectful and beneficial use, including:
- Academic research
- Education
🚫 Users must not employ this dataset for:
- Mockery or distortion of Quran recitation
- Disrespectful or misleading content
📚 Citation
If you use Tadabur in your work, please cite:
@article{alherran2025iqraa,
title={Tadabur: A Large-Scale Quran Dataset},
author={Alherran, Faisal},
year={2025}
}