logicBombExe/direct_prompt_injection_defense_data

Direct Prompt Injection Defense Dataset Goal This dataset is used to fine-tune models so they develop a natural defense against direct prompt injection attacks — without relying on external filters or guardrails. Each example teaches the model two behaviors at once: Detect a prompt injection attempt in the user input. Respond correctly: reject malicious attempts, or answer safely when the user's intent is benign — and in both cases call the log_security_incident… See the full description on the dataset page: https://huggingface.co/datasets/logicBombExe/direct_prompt_injection_defense_data.