  We present PeerSum, a new MDS dataset using peer reviews of scientific
publications. Our dataset differs from the existing MDS datasets in that our
summaries (i.e., the meta-reviews) are highly abstractive and they are real
summaries of the source documents (i.e., the reviews) and it also features
disagreements among source documents. We found that current state-of-the-art
MDS models struggle to generate high-quality summaries for PeerSum, offering
new research opportunities.
