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📖 Arabic-Myanmar Quran Voice Dataset

🕌 Overview

This dataset contains high-quality MP3 audio recordings of the entire Holy Qur’an with:

  • Arabic recitation of each verse
  • Followed immediately by its Myanmar (Burmese) translation

It is the first complete Arabic-Myanmar Quran audio interpretation of its kind publicly released in Myanmar. The goal is to make the Qur’an more accessible to:

  • Elderly persons
  • Blind or visually impaired people
  • Myanmar speakers who wish to understand the meanings while listening

🎙️ Voice & Production Credits

Narrator / Translator:

  • Qārī-i-Aʿẓam of Myanmar (قاري اعظم ميانمار)
    Hazrat Fadilat al-Shaykh Maulana Hafiz Qari Tin Myint Makki Al-Hanafi Sahib (Hafizahullah)
    فضيلة الشيخ حضرت مولانا حافظ القاري تن منت المكي الحنفي صاحب حفظه الله

Production Team:

"Each ayah is recited in Arabic, then followed by the translated meaning in clear Myanmar language."


📊 Dataset Statistics

Feature Value
Total Surahs 114
Total Duration 2 days, 19 hours, 30 minutes (~67.5 hours)
Shortest Track 1 minute, 12 seconds
Longest Track 5 hours, 20 minutes, 37 seconds
Format .mp3 files + metadata.csv

Each sample includes:

  • audio/XXX.mp3: the audio track for one surah
  • A row in metadata.csv with all details

📦 Usage

import pandas as pd

# Show all columns (disable column truncation)
pd.set_option("display.max_columns", None)
pd.set_option("display.width", 0)

# Load metadata CSV directly from Hugging Face
df = pd.read_csv("https://huggingface.co/datasets/freococo/arabic_myanmar_quran_voices/resolve/main/metadata.csv")

# Preview first 5 rows
print(df.head())

# Optionally, print the full dataset
# print(df)

⚠️ Important Notes

  • This dataset is in folder + CSV format (not .tar).
  • Each row in metadata.csv maps directly to a .mp3 file in the audio/ folder.
  • Some .mp3 files are over 2 to 5 hours long, which may cause the Hugging Face Dataset Viewer to crash or become unresponsive.
  • For reliable access and usage, please load the dataset programmatically using the code in the Usage section above.
  • No Hugging Face streaming logic is required.

📥 Original Source & Downloads


📚 Intended Use

  • Educational & devotional listening
  • Audio access for elderly, blind, or visually impaired
  • Myanmar-language learners of the Qur’an
  • Dataset for religious ASR, TTS, and multilingual research

✨ Acknowledgments

We give all credit and heartfelt thanks to:

  • Maulana Hafiz Qari Tin Myint Makki Al-Hanafi and his scholars
  • MMSY (Myanmar Muslim Student & Youth) for hosting and distributing this resource
  • The volunteers who made this possible for the public

This is a public domain audio dataset meant to serve the Ummah and researchers alike.


⚠️ Disclaimer

I, freococo, am not the creator or copyright owner of the original MP3 recordings or their content. I only curated and published this dataset for:

  • The love of languages and Myanmar accessibility
  • Support for open-source AI development
  • The benefit of education, research, and humanity 💛

💡 Citation

You may cite the dataset as:

@dataset{freococo_arabic_myanmar_quran_voices,
  title  = {Arabic-Myanmar Quran Voice},
  author = {freococo},
  year   = {2025},
  url    = {https://huggingface.co/datasets/freococo/arabic_myanmar_quran_voices},
  note   = {Original narration by Maulana Hafiz Qari Tin Myint Makki Al-Hanafi and team. Curated and released by freococo.}
}
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