metadata
license: cc-by-nc-4.0
language:
- ar
multilinguality:
- multilingual
task_categories:
- automatic-speech-recognition
- audio-classification
- text-to-speech
tags:
- arabic
- arabic-dialects
- egyptian-arabic
- tunisian-arabic
- gulf-arabic
- levantine-arabic
- speech-data
- voice-ai
- asr
- tts
- middle-east
- north-africa
- msa
- dialectal-arabic
pretty_name: 🇸🇦 Arabic Dialects Speech Dataset
size_categories:
- n<1K
🇸🇦 Arabic Dialects Speech Dataset
🌍 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.
🎯 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
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}
}