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01hewyler /AI_threat_and_vulnerabilities_taxonomy AI Threat Taxonomy and Vulnerability Registry Dataset Description This dataset provides a practitioner-grade, machine-readable taxonomy of AI threat vectors and AI vulnerabilities for use in red teaming, risk assessment, model governance, and regulatory compliance programs. The taxonomy distinguishes precisely between: Threat vectors: paths or mechanisms an attacker, insider, or negligent actor uses to exploit an AI environment Vulnerabilities: weaknesses in… See the full description on the dataset page: https://huggingface.co/datasets/hewyler/AI_threat_and_vulnerabilities_taxonomy.texttext-classificationn<1K0 likes31 downloads3mo agoHugging Face02takenusername32 /synthetic-code-vulnerabilities-1synthetic-code-vulnerabilities-1 is a synthetic dataset with a total of ~493 Question and Answer pairs. This dataset was generated using the following models: Gemini: Fast Thinking Pro ChatGPT: Whatever is available on the website Deepseek: "Instant" "Expert" Grok: Fast Qwen 3.6: Fast Thinking Perplexity.ai: Whatever is available on the website This dataset follows the following format: [ {"in":"Prompt","out":"Response"}, {"in":"Prompt","out":"Response"} ] textquestion-answeringn<1K0 likes18 downloads4mo agoHugging Face03takenusername32 /synthetic-code-vulnerabilities-2synthetic-code-vulnerabilities-2 is a synthetic dataset with a total of ~884 Question and Answer pairs. This dataset was generated using the following models: ChatGPT: Whatever is available on the website OSS 120B Gemini: Pro Deepseek: "Instant" "Expert" Grok: Fast Qwen3: Coder This dataset follows the following format: [ {"messages": [ {"role": "system", "content": "Example system prompt"}, {"role": "user", "content": "Example user prompt"}, {"role":… See the full description on the dataset page: https://huggingface.co/datasets/takenusername32/synthetic-code-vulnerabilities-2.textquestion-answeringn<1K0 likes15 downloads4mo agoHugging Face

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