SecKnowledge 2.0 is an evaluation benchmark suite from the research paper 'Toward Cybersecurity-Expert Small Language Models' (ICML 2026). The dataset, released by author cyber-pal-security, assesses large language models on core cybersecurity capabilities not covered by existing public benchmarks. It was last updated on May 20, 2026.
Use Cases
- Benchmarking LLM adversarial robustness based on cyber threat intelligence knowledge mentioned in the description
- Evaluating cross-taxonomy reasoning capabilities for cybersecurity concepts
- Assessing consequence-centric reasoning in security scenarios
- Training or fine-tuning cybersecurity-expert language models
Strengths
- Designed to fill gaps in existing public benchmarks for cybersecurity LLM evaluation
- Released as part of a peer-reviewed ICML 2026 research publication
- Focuses on specific, high-level capabilities like adversarial robustness and cross-taxonomy reasoning
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count and file formats are unknown, which may limit suitability assessment
Provenance
- Source
- cyber-pal-security on Hugging Face
- Collection Method
- Internal evaluation datasets developed for the CyberPal 2.0 model family research
- Time Range
- null
- Freshness
- Last updated 2026-05-20 07:43:07; freshness should be verified
- Geography
- null