A Dataset for Event-Centric Question Answering
Event-QA is a Dataset for answering Event-Centric questions over Knowledge Graphs (KGs). We target EventKG, a recently proposed Event-Centric KG. In our paper we describe 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. Details of how to configure and execute the pipeline can be accessed in Event-QA GitHub project website.
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