Specifications Table

Subject	Computer science (Artificial Intelligence)
Specific subject area	Semantic Web
Type of data	Text files
How data were acquired	Systematic, manual translation from competency questions formulated in natural language to SPARQL-OWL
Data format	RQ files containing SPARQL-OWL queries
Parameters for data collection	Total count of CQs (234), total count of SPARQL-OWL queries (131), count of translatable CQs (131), count of untranslatable CQs (103)
Description of data collection	We selected only such ontologies that have competency questions stated against ontology schema (T-Box), deduplicated the competency questions where applicable, added contextual information, cleaned unnecessary additional notes and added markers for dematerialised (i.e., having variables in the sentence) versus materialised (i.e., with no variables) competency questions.
Data source location	Faculty of Computing Poznan University of Technology ul. Piotrowo 3 60-965 Poznan, Poland Department of Computer Science University of Cape Town Private Bag X3 Rondebosch 7701 South Africa
Data accessibility	Repository name: Mendeley Data Data identification number: https://doi.org/10.17632/pp6hmfxgfg.1 Direct URL to data: https://data.mendeley.com/datasets/pp6hmfxgfg/1
Related research article	Dawid Wiśniewski, Jedrzej Potoniec, Agnieszka Ławrynowicz, C. Maria Keet, Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL, Journal of Web Semantics, https://doi.org/10.1016/j.websem.2019.100534