The DiaChat Dataset is a curated conversational dataset designed to fine-tune very small language models (≈270M parameters) to behave as a warm, emotionally intelligent, Gen Z–style conversational companion called Dia. This dataset focuses on tone, empathy, and emotional awareness, rather than reasoning, knowledge recall, or task completion. It is suitable for client-side, offline, and privacy-first AI systems.

	Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/iteshxt/diachat-dataset.