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Competency Questions (CQs) are used in many ontology engineeringmethodologies to collect requirements and track the completeness andcorrectness of an ontology being constructed. Although they are frequentlysuggested by ontology engineering methodologies, the publicly availabledatasets of CQs and their formalizations in ontology query languages are veryscarce. Since first efforts to automate processes utilizing CQs are being made,it is of high importance to provide large and diverse datasets to fuel thesesolutions. In this paper, we present BigCQ, the biggest dataset of CQ templateswith their formalizations into SPARQL-OWL query templates. BigCQ is createdautomatically from a dataset of frequently used axiom shapes. These pairs of CQtemplates and query templates can be then materialized as actual CQs andSPARQL-OWL queries if filled with resource labels and IRIs from a givenontology. We describe the dataset in detail, provide a description of theprocess leading to the creation of the dataset and analyze how well the datasetcovers real-world examples. We also publish the dataset as well as scriptstransforming axiom shapes into pairs of CQ patterns and SPARQL-OWL templates,to make engineers able to adapt the process to their particular needs.

BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates