This dataset is a large-scale, comprehensive collection of instruction-following and conversational data, meticulously aggregated and standardized for Supervised Fine-Tuning (SFT) of language and multimodal models. It merges twelve distinct, high-quality datasets, covering a wide range of domains including general conversation, coding, reasoning, and multimodal interactions.
The primary goal of this unified dataset is to provide a… See the full description on the dataset page: https://huggingface.co/datasets/Gunulhona/open_m_3.
