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Kejue Voice

Unified Arabic speech dataset with transcriptions and continuations, organized by dialect.

Overview

  • 1.6M+ samples across 18 source datasets
  • 17 dialect configs (ar, ar-eg, ar-sa, ar-lb, ar-bh, ar-iq, ar-ae, ar-jo, ar-kw, ar-ma, ar-om, ar-ps, ar-qa, ar-sy, ar-tn, ar-dz, ar-en)
  • Standardized schema: id, audio, text, continuation, dialect, source
  • Audio + text transcription + generated continuation for each sample

Usage

from datasets import load_dataset

# Load all Arabic (general/MSA)
ds = load_dataset("KejueAI/kejue-voice", "ar")

# Load specific dialect
ds_eg = load_dataset("KejueAI/kejue-voice", "ar-eg")  # Egyptian
ds_sa = load_dataset("KejueAI/kejue-voice", "ar-sa")  # Saudi
ds_lb = load_dataset("KejueAI/kejue-voice", "ar-lb")  # Lebanese

# Filter by source dataset
adi17_eg = ds_eg.filter(lambda x: x["source"] == "adi17")

Dialect Configs

Config Dialect Rows
ar Arabic (general/MSA) ~628K
ar-eg Egyptian ~172K
ar-iq Iraqi ~277K
ar-sa Saudi ~159K
ar-bh Bahraini/Gulf ~90K
ar-jo Jordanian ~41K
ar-sy Syrian/Levantine ~37K
ar-ps Palestinian ~35K
ar-lb Lebanese ~35K
ar-ae Emirati ~44K
ar-kw Kuwaiti ~28K
ar-qa Qatari ~24K
ar-ma Moroccan ~18K
ar-om Omani ~17K
ar-en Arabic-English code-switching ~12K
ar-tn Tunisian ~3K
ar-dz Algerian ~1K

Source Datasets

Source Original Dataset Rows
adi17 KejueAI/kejue-voice-adi17 ~650K
mgb2 MohamedRashad/mgb2-arabic ~374K
sada22 MohamedRashad/SADA22 ~232K
arabic-youtube KejueAI/arabic-youtube-corpus-with-continuations ~226K
bahraini-speech KejueAI/bahraini-speech-continuations-v3 ~87K
arabic-voices-clean KejueAI/arabic-voices-clean-v4-continuations ~23K
code-switching MohamedRashad/arabic-english-code-switching ~12K
omnilingual-* facebook/omnilingual-asr-corpus ~15K
mgb3 MohamedRashad/MGB-3-Arabic ~2K
sawtarabi ArabicSpeech/sawtarabi ~2.5K
lebanese-youtube KejueAI/lebanese-youtube-corpus ~1.7K

Schema

Column Type Description
id string Unique row identifier
audio Audio Audio sample
text string Transcription
continuation string Generated continuation (may be empty)
dialect string Dialect code (ar-eg, ar-sa, etc.)
source string Original dataset name

Post-processing

All data has been cleaned:

  • Rows with repeated words (3x consecutive) removed from text and continuation
  • Overlapping words between end of text and start of continuation stripped

Removed: overlap with the Open Universal Arabic ASR Leaderboard test sets

On 2026-10-14 we removed 4,904 rows (21.8 h) from 510 of the 1163 parquet files. Each removed row overlaps the test material of the Open Universal Arabic ASR Leaderboard (test sets with hits: casablanca, casablanca_validation, common_voice, masc_clean, masc_noisy, mgb2, sada).

  • How rows were matched: source ids, normalised text, and audio fingerprints on 100% of the rows (contamination guard version 2, arabic-english-stt #8).
  • Row ids: the removed rows are listed in contamination/removed_ids.txt.
  • Counts per test set: in contamination/summary.json.
  • Unchanged files: all other files are unchanged.
  • Earlier versions: earlier revisions of this repo keep the original files.
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