Cora

Cora is a large dataset used in machine learning research, specifically for training and evaluating algorithms that analyze academic papers. It contains information about thousands of scientific articles, including their titles, authors, abstracts, and how they cite each other. Researchers use Cora to develop models that can classify or predict the topics of papers based on their content and citation patterns, helping improve tasks like document understanding, recommendation systems, and knowledge extraction. Essentially, Cora provides a structured, real-world example of interconnected academic information for testing and advancing artificial intelligence techniques.