Edge Agent Reasoning WebSearch 260K

Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page:

Source: Hugging Face Hub (JACKYS999/Edge-Agent-Reasoning-WebSearch-260K). Metadata imported from the dataset’s Hub tags.