  The WSDM Cup 2017 was a data mining challenge held in conjunction with the
10th International Conference on Web Search and Data Mining (WSDM). It
addressed key challenges of knowledge bases today: quality assurance and entity
search. For quality assurance, we tackle the task of vandalism detection, based
on a dataset of more than 82 million user-contributed revisions of the Wikidata
knowledge base, all of which annotated with regard to whether or not they are
vandalism. For entity search, we tackle the task of triple scoring, using a
dataset that comprises relevance scores for triples from type-like relations
including occupation and country of citizenship, based on about 10,000 human
relevance judgements. For reproducibility sake, participants were asked to
submit their software on TIRA, a cloud-based evaluation platform, and they were
incentivized to share their approaches open source.
