Necent/llm-jailbreak-prompt-injection-dataset

--- language: - en - ar - bn - cs - de - es - fr - hi - hu - id - it - ja - ko - ms - nl - pl - pt - ru - sr - sv - sw - ta - th - vi - zh - jv license: mit size_categories: - 100K<n<1M task_categories: - text-classification tags: - safety - jailbreak - prompt-injection - toxicity - red-teaming - ai-safety pretty_name: AI Security Dataset --- # AI Security Dataset A unified dataset of **691,331 examples** for AI safety research, combining 15 source datasets across **26 languages**. ## Schema | Column | Description | |--------|-------------| | `prompt` | The attack/test prompt text | | `response` | Model response (if available) | | `model_name` | Target model (if specified) | | `prompt_type` | jailbreak / prompt_injection / obfuscation / linguistic / toxicity / harmful_behavior | | `category` | Specific sub-category from the source dataset | | `is_dangerous` | 1 = dangerous/harmful, 0 = safe/benign | | `source` | Name of the source dataset | | `language` | ISO 639-1 language code | ## Sources | Source | Rows | Dangerous | Safe | |--------|-----:|----------:|-----:| | PolyglotToxicityPrompts | 412,433 | 209,933 | 202,500 | | LLMail-Inject | 165,416 | 165,416 | 0 | | LinguaSafe | 45,422 | 40,167 | 5,255 | | RedBench | 28,169 | 28,169 | 0 | | SGToxicGuard | 13,489 | 13,489 | 0 | | SPML | 16,012 | 12,542 | 3,470 | | Do-Not-Answer | 3,755 | 3,755 | 0 | | MultiJail | 3,148 | 3,148 | 0 | | TensorTrust | 1,346 | 1,346 | 0 | | RabakBench | 528 | 392 | 136 | | AdvBench | 520 | 520 | 0 | | BIPIA | 450 | 250 | 200 | | HarmBench | 393 | 393 | 0 | | JBB-Behaviors | 200 | 100 | 100 | | ArtPrompt | 50 | 50 | 0 | ## Prompt Types | Type | Count | |------|------:| | toxicity | 426,450 | | prompt_injection | 183,224 | | linguistic | 48,570 | | jailbreak | 29,282 | | harmful_behavior | 3,755 | | obfuscation | 50 | ## Usage ```python from datasets import load_dataset ds = load_dataset("Necent/llm-jailbreak-prompt-injection-dataset") ``` ## Collection Script The dataset was collected using the script at: https://github.com/Necentt/ai-security-course ## Disclaimer This dataset contains harmful, toxic, and offensive content collected for AI safety research purposes only. It is intended for training safety classifiers and evaluating LLM robustness, not for generating harmful content.