4 datasets found

The Qiyas benchmark is a standardized General Aptitude Test (GAT) used for university admissions in Saudi Arabia, ensuring its quality and relevance to real-world assessment. It...

ARAGPT2 is a stacked transformer-decoder model trained using the causal language modeling objective. The model is trained on 77GB of Arabic text.

The Validation Dataset is used for validation, it contains 1428 images from nine distinct rooms.

The training dataset is a collection of the publicly available Arabic corpora listed below: The unshuffled OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump...