SilencioNetwork/arabic-dialects-speech

🇸🇦 Arabic Dialects Speech Dataset

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🌍 Real Arabic dialects from native speakers across the Arab world.

📧 Need more? sofia@silencioai.com — we have 8,000+ hours of Arabic dialect data available.

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🎯 Dataset Overview

187 recordings across 4 major Arabic dialect regions, sourced from native speakers.

Dialect	Code	Samples	Countries
🇪🇬 Egyptian	egyptian	117	Egypt (Cairene, Alexandrian)
🇹🇳 Tunisian/Maghrebi	tunisian	55	Tunisia, Algeria
🇸🇦 Gulf	gulf	11	Saudi Arabia, UAE, Qatar
🇯🇴 Levantine	levantine	4	Jordan, Syria, Lebanon

🚀 Quick Start

from datasets import load_dataset

# Load Egyptian Arabic
egyptian = load_dataset("SilencioNetwork/arabic-dialects-speech", "egyptian")

# Load Gulf Arabic
gulf = load_dataset("SilencioNetwork/arabic-dialects-speech", "gulf")

# Load Tunisian Arabic
tunisian = load_dataset("SilencioNetwork/arabic-dialects-speech", "tunisian")

for sample in egyptian['train']:
    audio = sample['audio']
    transcript = sample['transcript']
    dialect = sample['dialect']
    print(f"[{dialect}] {transcript[:50]}...")

🌍 Why Arabic Dialects?

Arabic has massive dialectal variation — a model trained on MSA (Modern Standard Arabic) often fails on dialectal speech:

• 🇪🇬 Egyptian Arabic — Most widely understood (media/film influence)
• 🇸🇦 Gulf Arabic — Business and energy sector
• 🇲🇦 Maghrebi — North Africa, French influence
• 🇯🇴 Levantine — Syria, Lebanon, Jordan, Palestine

This dataset captures real dialectal speech from native speakers.

📊 Full Data Availability

Dialect	Sample	Full Corpus
Egyptian	117	3,500+ hours
Gulf (Saudi, UAE, Qatar)	11	1,800+ hours
Maghrebi (Tunisia, Morocco, Algeria)	55	1,200+ hours
Levantine (Jordan, Lebanon, Syria)	4	900+ hours
Iraqi	—	400+ hours
Total Arabic	187	8,000+ hours

⚖️ License

CC BY-NC 4.0 — Free for research and non-commercial use.

For commercial licensing, contact sofia@silencioai.com.

📧 Get More Data

📧 Email: sofia@silencioai.com

🌐 Website: silencioai.com

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Citation

@dataset{silencio_arabic_dialects_2025,
    title        = {Arabic Dialects Speech Dataset},
    author       = {Silencio Network},
    year         = {2025},
    publisher    = {Hugging Face},
    license      = {CC BY-NC 4.0}
}