Event-QA[1] is a dataset for answering Event-Centric questions over Knowledge Graphs (KGs), where the target KG is EventKG, a recently proposed Event-Centric KG. Please refer to the original paper for the details about the dataset creation process. Current datasets are mostly entity-centric, Event-QA is the first Question Answering dataset that focus on events.
The Natural Language questions are manually created through a Query Verbalisation Interface, where for each SPARQL query, the users had to write the question representation. The current version of Event-QA contains questions in English, Portuguese and German.
The Event-QA generation pipeline is done by random walk sub-graph traversal.
[1] Souza Costa, Tarcísio, Simon Gottschalk, and Elena Demidova. Event-QA: A dataset for event-centric question answering over knowledge graphs. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 3157-3164. 2020.