This dataset provides 5,000 synthetic examples of harmful or risky user prompts paired with formal, safe, and policy-aligned refusals. It is designed to assist in the supervised fine-tuning (SFT) of Large Language Models (LLMs) to enhance their safety layers and alignment with ethical guidelines. The dataset uses the JSONL (JSON Lines) format, where each line is a valid, independent JSON object.
