| --- |
| 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} |
| } |
