The Cora co-authorship network is a hypergraph where nodes are authors from the Cora dataset and hyperedges are papers, representing sets of authors who collaborated on a publication. Each author is labeled with their primary research area, inferred from the majority research area of their publications. The research areas include Case-Based Reasoning, Genetic Algorithms, Neural Networks, Probabilistic Methods, Reinforcement Learning, Rule Learning, and Theory. This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction. Find the dataset details in AHORN.