---
language:
- ar
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- automatic-speech-recognition
- text-to-speech
- audio-classification
pretty_name: Quranic Recitation Dataset (Word-by-Word)
tags:
- quran
- audio
- speech
- religion
- arabic
- word-by-word
- recitation
- opus
- protobuf
---

# 📖 Quranic Recitation Dataset (Word-by-Word Sync)

A highly optimized, production-ready dataset containing high-quality audio recitations of the Holy Quran synchronized perfectly at the **word-by-word** level. 

This dataset features **34 world-renowned reciters**, with every single Surah (114 chapters) mapped precisely to millisecond-accurate word timestamps.

---

## ✨ Key Features

- **Massive Scope**: 34 distinct reciters, covering all 114 Surahs each (totaling 3,876 audio files and synchronization maps).
- **Highly Optimized Audio**: All audio is converted to **mono-channel, 16000Hz, 32kbps `.opus`** format. This ensures exceptional voice clarity while remaining ultra-lightweight for mobile and web streaming.
- **Dual-Format Timestamps**: 
  - **`.json`**: Standard, easy-to-parse nested JSON timing data.
  - **`.pb` (Protocol Buffers)**: A 33% smaller, binary-encoded format ideal for high-performance applications with strict memory and bandwidth constraints.
- **Word-Level Accuracy**: Timestamps map directly to standard Uthmani script word indices (both 0-based and 1-based arrays), allowing for beautiful karaoke-style highlighting in apps.

---

## 🚀 CDN Implementation (Cloudflare)

This dataset is designed for **instant, scalable fetching over a CDN** without needing to download the entire 17GB repository locally. 

You can use Hugging Face's globally distributed Cloudflare CDN to fetch `.opus` audio and `.pb` / `.json` timing data directly into your frontend or mobile app.

### Fetching a File via CDN URL
Format your endpoint URL as follows:
```text
https://huggingface.co/datasets/zaibihassan/Quranic-Recitation-Data/resolve/main/{Reciter Name}/{Surah Number}/{File}
```

### Example: Loading Protobuf Timings in JavaScript
```javascript
// Example: Fetching Alijon Qari's Surah Al-Fatihah timings
const cdnUrl = "https://huggingface.co/datasets/zaibihassan/Quranic-Recitation-Data/resolve/main/Alijon%20Qari/001/001.pb";

async function loadRecitationTimings() {
    const response = await fetch(cdnUrl);
    const arrayBuffer = await response.arrayBuffer();
    const uint8Array = new Uint8Array(arrayBuffer);
    
    // Decode the binary payload using protobuf.js
    const message = SurahTimestamps.decode(uint8Array);
    const timingData = SurahTimestamps.toObject(message);
    
    console.log("Loaded High-Performance Timings:", timingData);
}
```

### Example: Streaming Audio natively
```html
<!-- Example: Streaming highly optimized Opus audio -->
<audio controls>
  <source src="https://huggingface.co/datasets/zaibihassan/Quranic-Recitation-Data/resolve/main/Alijon%20Qari/001/001.opus" type="audio/ogg; codecs=opus">
</audio>
```

---

## 📂 Dataset Structure

The dataset is organized hierarchically by **Reciter Name** $\rightarrow$ **Surah Number (001-114)**.

Inside each Surah folder, you will find three files:
1. `[SurahNumber].opus` - The compressed audio file.
2. `[SurahNumber].json` - The human-readable timestamp mappings.
3. `[SurahNumber].pb` - The binary Protocol Buffer timestamp mappings.

```text
Quranic-Recitation-Data/
├── Abdul Basit Abdul Samad (Mujawwad – Hafs)/
│   ├── 001/
│   │   ├── 001.opus
│   │   ├── 001.json
│   │   └── 001.pb
│   ├── 002/
│   ...
├── Alijon Qari/
├── Mishari Rashid Al Afasy (Murattal – Hafs)/
...
```

---

## ⏱️ Timing Data Schema

The timing data maps a specific Verse (Ayah) ID to an array of word segments. 
Each segment contains 4 values:
1. `word_index_0_based`: The word index starting from 0.
2. `word_index_1_based`: The word index starting from 1.
3. `timestamp_from`: The start time of the word in milliseconds.
4. `timestamp_to`: The end time of the word in milliseconds.

### JSON Example (`001.json`):
```json
{
  "1:1": {
    "segments": [
      [0, 1, 9410, 10050],
      [1, 2, 10130, 11030],
      [2, 3, 11070, 12580],
      [3, 4, 12660, 15360]
    ]
  }
}
```

### Protocol Buffer Schema (`recitation.proto`):
For strict typing and parsing of the `.pb` files natively inside your application, compile or load the following schema:
```protobuf
syntax = "proto3";
package recitation;

message WordSegment {
  int32 word_index_0_based = 1;
  int32 word_index_1_based = 2;
  int32 timestamp_from = 3;
  int32 timestamp_to = 4;
}

message VerseSegments {
  repeated WordSegment segments = 1;
}

message SurahTimestamps {
  map<string, VerseSegments> verses = 1;
}
```

---

## 🎙️ Included Reciters

This dataset encompasses a diverse range of recitation styles (Murattal, Mujawwad) from 34 prominent reciters:

1. Abdul Basit Abdul Samad (Mujawwad – Hafs)
2. Abdul Basit Abdul Samad (Murattal – Hafs)
3. Abdul Rahman Al Sudais (Murattal – Hafs)
4. Abdullah Hamad Abu Sharida
5. Abu Bakr Al Shatri (Murattal – Hafs)
6. Ahmed ibn Ali Al Ajmy
7. Alijon Qari
8. Alnufais
9. Alzain Mohammad Ahmad
10. Ayman Suwaid (Muallim)
11. Badr Al Turki
12. Bandar Baleela
13. Fatih Seferagic
14. Hani Ar Rifai (Murattal – Hafs)
15. Idris Abkar
16. Khalid Al Jalil (Murattal – Hafs)
17. Khalifa Al Tunaiji (Murattal – Hafs)
18. Maher Al Muaiqly (Murattal – Hafs)
19. Mahmoud Khalil Al Husary (Mujawwad – Hafs)
20. Mahmoud Khalil Al Husary (Murattal – Hafs)
21. Mahmoud Khalil Al Husary (Murattal – Hafs – Version 2)
22. Mishari Rashid Al Afasy (Murattal – Hafs)
23. Mohamed Al Tablawi (Murattal – Hafs)
24. Muhammad Al Luhaidan
25. Muhammad Siddiq Al Minshawi (Kids)
26. Muhammad Siddiq Al Minshawi (Murattal – Hafs)
27. Nabil Ar Rifai
28. Noreen Siddiq (Duri ‘an Abu Amr)
29. Raad Mohammad Al Kurdi
30. Saad Al Ghamdi (Murattal – Hafs)
31. Saud Al Shuraim (Murattal – Hafs)
32. Surah Recitation – Hady Toure
33. Tawfeeq bin Saeed As Sawaaigh
34. Yasser Al Dosari (Murattal – Hafs)

---

## 📜 Data License & Usage

**License:** `Apache-2.0`

This dataset is completely free and open-source for personal, educational, and commercial projects under the **Apache License 2.0**. You are highly encouraged to integrate this directly into mobile apps (Flutter, React Native, iOS, Android) and web platforms without any restrictive encumbrances.

**Attribution:**
While not strictly required by the license, we appreciate attribution linking back to this dataset to support the ongoing development of open-source Islamic infrastructure.