Omkar2118/datasets huggingface dataset:
BigCQ

**BigCQ** is a dataset of Competency Question templates paired with SPARQL-OWL query templates. These represent templates of ontology requirements formalizations which are then translated into SPARQL-OWL query language used to query T-Box level of ontologies. Thus, such a dataset can be used in various scenarios regarding ontology authoring:

- Provide a large scale dataset for automatization of CQ involving tasks (automatic extraction of Glossary of Terms from requirements, automatic translation of CQs into queries to check how mature given ontology is).
- Allow to understand better the relation between human-language and ontology constructs.
- Make Competency Question driven ontology authoring more popular, since, although CQs are suggested in many ontology design methodologies, there is very limited set of CQs made publicly available.
- Provide guidelines on how CQs can be constructed to target given modelling styles.

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