Cybersecurity Instruction-Response Pairs for LLM Fine-Tuning

Cybersecurity QA is a dataset of instruction-response pairs focused on cybersecurity concepts, created by mariiazhiv. The dataset was last updated on September 19, 2025. It is structured in JSONL format with fields for instruction, input, and output.

Use Cases

• Fine-tuning instruction-following LLMs based on cybersecurity question-answer pairs.
• Training chatbots to answer cybersecurity questions based on structured instruction-response data.
• Evaluating LLM performance on domain-specific technical queries using the provided expected outputs.

Strengths

• Dataset structure is explicitly defined with instruction, input, and output JSONL fields.
• Dataset was last updated on 2025-09-19 09:07:41, indicating recent maintenance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

mariiazhiv

Freshness

Last updated 2025-09-19 09:07:41