  This paper presents TextComplexityDE, a dataset consisting of 1000 sentences
in German language taken from 23 Wikipedia articles in 3 different
article-genres to be used for developing text-complexity predictor models and
automatic text simplification in German language. The dataset includes
subjective assessment of different text-complexity aspects provided by German
learners in level A and B. In addition, it contains manual simplification of
250 of those sentences provided by native speakers and subjective assessment of
the simplified sentences by participants from the target group. The subjective
ratings were collected using both laboratory studies and crowdsourcing
approach.
