Datasets:
audio
dict | text
large_stringlengths 26
973
| duration
float64 1
60
| source_dataset
large_stringclasses 9
values |
|---|---|---|---|
{"bytes":"UklGRsRlCwBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YaBlCwAP/xb+GP6b/bv9D/7s/Q//kP81/4sAjv(...TRUNCATED)
| "language Arabic<asr_text>الفن اساسا هو جهد بشري\n لان في مشاعر وابد(...TRUNCATED)
| 23.341
|
Omnilingual_acw_Arab
|
{"bytes":"UklGRuTBAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YcDBAACG/8H/1AD6AUIC5ALhAr0BrAESAgYCfw(...TRUNCATED)
|
language Arabic<asr_text>الله يحفظك
| 1.55
|
SADA22_Saudi_60k
|
{"bytes":"UklGRuTxBwBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YcDxBwAL+4D6E/rM+VT5H/kc+en49fgl+R35Jf(...TRUNCATED)
| "language Arabic<asr_text>الجزء الصحراوي الجزء الصحراوي ايش هو الج(...TRUNCATED)
| 16.27
|
SADA22_Saudi_60k
|
{"bytes":"UklGRiSbAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQCbAAAG9mD2Bve29zL4Kvis93D3CPgN+ar5iv(...TRUNCATED)
|
language Arabic<asr_text>ايوه وسخ بالفطرة
| 1.24
|
SADA22_Saudi_60k
|
{"bytes":"UklGRiIkBABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0Yf4jBADR+2D81/zM/Pn8h/2p/XD91P1x/hn+xf(...TRUNCATED)
| "language German<asr_text>wenn das bei der wto durchkommt kann auch jede industriepolitische maßnah(...TRUNCATED)
| 8.479938
|
VoxPopuli_German
|
{"bytes":"UklGRmSwBQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YUCwBQBFM2I/GENqPnY3vzVjLfEX0wAV7uXgOt(...TRUNCATED)
| "language Arabic<asr_text>ها يا شباب نبي مساعدة يا ابشري عطوها عطوه(...TRUNCATED)
| 11.65
|
SADA22_Saudi_30k
|
{"bytes":"UklGRsi4DABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YaS4DAD//wAAAAAAAAYAAgAEAAQAAwACAAMABQ(...TRUNCATED)
| "language Arabic<asr_text>ألف عام <hesitation> أول شي بستكشف المجتمع وأش(...TRUNCATED)
| 26.053125
|
Omnilingual_ars_Arab
|
{"bytes":"UklGRqR/AABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YYB/AAD1IysiHiVmKDco/CQ8I5EiGB6ZFjAPyQ(...TRUNCATED)
|
language Arabic<asr_text>وانتو معاكم
| 1.02
|
SADA22_Saudi_30k
|
{"bytes":"UklGRuKJAQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0Yb6JAQCG/0f/Zf+s/wAA6P+U/6T/xf/j/04AjQ(...TRUNCATED)
|
language Arabic<asr_text>حتى انت يا عتيج حتى انت يا يمه
| 3.149938
|
SADA22_Saudi_60k
|
{"bytes":"UklGRhqsAwBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YfarAwDm/9f/+v8LAA8AEAAMAAgA3v/Y/w4AGw(...TRUNCATED)
| "language English<asr_text>delivering on the sdgs is deeply entwined with our objectives under the t(...TRUNCATED)
| 7.519688
|
VoxPopuli_English
|
End of preview. Expand
in Data Studio
Qwen3-ASR Multilingual Fine-tuning Dataset
This dataset contains 75395 audio samples for fine-tuning Qwen3-ASR model with focus on Arabic dialects while maintaining multilingual capabilities.
Dataset Composition
- Arabic: ~70% (Saudi dialects, MSA, Egyptian)
- Other Languages: ~30% (English, Spanish, French, German, Chinese, Japanese, Korean, Russian)
Dataset Structure
- Train: 71628 samples
- Validation: 3767 samples
Columns
audio: Audio data (16kHz WAV, mono)text: Transcription with language prefix (e.g.,language Arabic<asr_text>...)duration: Audio duration in secondssource_dataset: Source dataset name
Usage
from datasets import load_dataset
dataset = load_dataset("athenasaurav/final_Qwen_multi")
# Cast audio column if needed
dataset = dataset.cast_column("audio", Audio(sampling_rate=16000))
Sources
Arabic
- SADA22_Saudi_60k
- SADA22_Saudi_30k
- Saudi_Podcasts
- Omnilingual (ars_Arab, acw_Arab)
Multilingual
- VoxPopuli (English, Spanish, French, German)
- FLEURS (Chinese, Japanese, Korean, Russian)
License
CC-BY-4.0
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