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---
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](https://huggingface.co/datasets/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 `Maghrebi` dialect (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).