Corpora The original 2015 QA-SRL dataset (He et al., 2015) was annotated by non-expert workers after completing a brief training procedure. In subsequent work, <cite>Fitzgerald et al. (2018)</cite> constructed a large-scale corpus and used it to train a <cite>parser</cite>. As both 2015 and <cite>2018 datasets</cite> use a single question generator, both struggle with maintaining coverage. Also noteworthy, is that while traditional SRL annotations contain a single authoritative and nonredundant annotation, the <cite>2018 dataset</cite> provides the raw annotations of all annotators. We found that these characteristics of the dataset impede its utility for future development of parsers.