Paraphrased queries generated from subgraphs extracted from MITRE D3FEND ontology at https://d3fend.mitre.org/resources/ontology/ in order to test semantic invariance of LLMs with respect to a given domain.
SI-Cyber (Semantic Invariance test for Cybersecurity) is a dataset derived from the MITRE D3FEND (https://d3fend.mitre.org/ontologies/d3fend.ttl), a real-world cybersecurity KG used for defensive reasoning and operational security analysis. The D3FEND ontology integrates with governance frameworks such as NIST SP~800-53 and DISA Control Correlation Identifiers (CCIs), making it suitable for evaluating semantic consistency over mission-critical cybersecurity knowledge.
The dataset is organized into query clusters, where each cluster probes an ontological relation through multiple paraphrased formulations. This enables systematic evaluation of semantic consistency across logically equivalent queries. The resulting cluster types span a progression from direct edge lookup to hierarchical and relational reasoning.
