Wikipedia is the largest encyclopedia worldwide and is frequently updated by thousands of collaborators.
Currently, there are exactly 287~language versions of Wikipedia with together hundreds of edits per minute.
A large part of the knowledge in Wikipedia is not static, but frequently updated, e.g., new movies or sports and political events.
This makes Wikipedia an extremely rich, crowdsourced information hub for events.
However, currently there is no structured and standardized way to access information on those events and it is cumbersome to filter and enrich them manually.
We have created a dataset based on a~live extraction of Wikipedia, which performs this task via rules for filtering and ranking changes in Wikipedia.
The resulting data benefits from background knowledge in DBpedia to enable interesting mashups of events.
