---
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}
}