raghad23/arabic_eou_sada_dataset

Arabic EOU SADA Dataset (Saudi Dialect)

414,053 conversational Arabic utterances annotated for End-of-Utterance (EOU) detection
Strong focus on natural Saudi dialect (خليجي / نجدي / حجازي)

Task

Binary classification:

• label = 1 → End of speaker turn (EOU)
• label = 0 → Speaker will continue

Columns

• text: Arabic transcription
• label: 0 or 1
• silence_after_seconds: pause duration after this segment
• split: train | validation | test (already included)

Statistics

Split	Samples	% EOU=1	% EOU=0
train	~331k	75.2%	24.8%
validation	~41k	75.1%	24.9%
test	~41k	75.1%	24.9%

How to load with splits

from datasets import load_dataset

ds = load_dataset("raghad23/arabic_eou_sada_dataset", split=None)  # auto-detects splits from column
# or explicitly
train = load_dataset("raghad23/arabic_eou_sada_dataset", split="train")

Citation

If you use this dataset, please cite:

@dataset{raghad23_arabic_eou_sada_2025,
  author       = {Raghad Almutairi},
  title        = {Arabic EOU SADA Dataset - Saudi Dialect},
  year         = 2025,
  month        = dec,
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/raghad23/arabic_eou_sada_dataset},
  note         = {414,053 Arabic utterances annotated for End-of-Utterance (EOU) detection with a focus on Saudi dialect}
}