Keju
Collection
7 items • Updated
Unified Arabic speech dataset with transcriptions and continuations, organized by dialect.
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")
| 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 | 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 |
| 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 |
All data has been cleaned:
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).
contamination/removed_ids.txt.contamination/summary.json.