  An increasing need to analyse event-centric cross-lingual information calls
for innovative user interaction models that assist users in crossing the
language barrier. However, datasets that reflect user interaction traces in
cross-lingual settings required to train and evaluate the user interaction
models are mostly missing. In this paper, we present the EventKG+Click dataset
that aims to facilitate the creation and evaluation of such interaction models.
EventKG+Click builds upon the event-centric EventKG knowledge graph and
language-specific information on user interactions with events, entities, and
their relations derived from the Wikipedia clickstream.
