An increasing need to analyse event-centric cross-lingual in-formation calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user inter-action 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 onuser interactions with events, entities, and their relations derived from the Wikipedia click stream.