  Creating datasets manually by human annotators is a laborious task that can
lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic
framework for labeling data for relation extraction. Furthermore, we provide a
dataset of preprocessed sentences from the requirements engineering domain,
including a set of automatically created as well as hand-crafted labels. In our
case study, we compare the human and automatic labels and show that there is a
substantial overlap between both annotations.
