Defensive Cybersecurity Instruction Pairs for AI Training

2,500 instruction-response pairs provide detailed guidance on information security principles. This dataset is designed to train AI models for defensive cybersecurity education while refusing malicious assistance. The data is in English and formatted as Parquet files.

Use Cases

• Train a language model on instruction-response pairs to generate accurate defensive cybersecurity guidance.
• Fine-tune a classifier using instruction-response pairs to detect and refuse prompts for malicious cybersecurity activities.
• Analyze the structure and content of instruction-response pairs to benchmark AI alignment in security education.

Strengths

• Contains 2,500 high-quality instruction-response pairs for focused training.
• Explicitly designed for defensive cybersecurity education and ethical AI alignment.
• Released under the permissive Apache 2.0 license for broad use.

Limitations

• Limited to 2,500 rows, which is a small sample for training large language models without augmentation.
• Scope is restricted to defensive cybersecurity, lacking coverage of offensive techniques or broader IT topics.
• Potential for label or instruction bias based on the creator's curation methodology, which is unspecified.

Provenance

Source

huggingface, author AlicanKiraz0

Collection Method

Curated instruction-response pairs focused on defensive cybersecurity education.

Time Range

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Freshness

Last updated on 2025-06-17.

Geography

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