cowWhySo/prompt-injection-watch-dataset

--- pretty_name: Prompt Injection Watch Dataset language: - en license: apache-2.0 task_categories: - text-classification task_ids: - text-classification size_categories: - 10K<n<100K --- # Prompt Injection Watch Dataset Normalized prompt-injection watch dataset built from Hugging Face source datasets. ## Why a separate detector? This dataset is intended for an **auxiliary watch model** that alerts on prompt injection. It should remain separate from the primary command-permission classifier because the text distribution is different. ## Normalized columns - `text` - `label` (`0` benign, `1` malicious) - `attack_family` - `source_dataset` - `source_detail` - `severity` - `context` - `user_intent` - `language` - `metadata_json` ## Included source datasets - malmasabi - neuralchemy - shieldlm ## Recommended use - alert / watch signal in front of an LLM or tool bridge - review queue trigger - secondary risk feature for policy gating ## Caveats - sources have different collection methods and label semantics - some datasets are general chat injection, others are indirect or repo-oriented - threshold tuning should be done on your real application traffic