This sample set consists of questions compiled for past QA challenges. The question set was generated by an algorithm deriving a large amount of new questions from a small set of seed questions, by varying both the query desire and the form of the natural language expression. 
More specifically, it was created by replacing instance data (named entities) in QALD1 to QALD5 questions with new, random instance data of the same DBpedia class. The instance data was replaced in both the question and the query. Queries that did not give a proper result were removed. 
Questions are annotated with SPARQL queries and answers. Participating systems will be evaluated with respect to both number of correct answers and time needed.