Datasets:
metadata
license: cc-by-nc-sa-4.0
language:
- ar
task_categories:
- automatic-speech-recognition
- audio-classification
pretty_name: Clean One-Speaker SADA (Split)
size_categories:
- 10K<n<100K
Clean_One_Speaker_SADA_Split
Train/validation/test version of Sebssihakim/Clean_One_Speaker_SADA, a cleaned single-speaker subset of the SADA corpus (SDAIA / Saudi Broadcasting Authority).
Splits
80/10/10, stratified by speaker_dialect, seed 42:
train ~30.8k, validation ~3.9k, test ~3.9k rows.
- The
Maghrebidialect (7 rows) was removed — too few samples to stratify. - Splits are segment-level: the same source show/speaker may appear in more than one split.
- Rare dialects (Yemeni, Shamali, Janubi) have very few validation/test samples; per-dialect metrics on them are not statistically meaningful.
Columns
audio, text, cleaned_text, speaker_age, speaker_gender, speaker_dialect
License & attribution
Derived from SADA (SDAIA & Saudi Broadcasting Authority), CC BY-NC-SA 4.0. This derivative keeps the same license (non-commercial, share-alike).