A supervised fine-tuning (SFT) dataset of ~31,000 question-answer pairs in Tunisian Arabic dialect (Darija). The dataset was designed to support the development of language models that can understand and generate natural Tunisian dialect, a historically under-resourced Arabic variety with strong French code-switching influence.