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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'
---
<p align="center">
<img src="Iqraa_Final_logo.png" alt="Iqraa logo" width="320">
</p>
# 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**:
1. **Audio file** containing a single Quran verse
2. **Metadata file (JSON)** describing the verse, reciter, and word alignment
The structure of each example is as follows:
```json
{
"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:
```bibtex
@article{alherran2025iqraa,
title={Tadabur: A Large-Scale Quran Dataset},
author={Alherran, Faisal},
year={2025}
} |