Multi-label Classification Dataset for Student Evaluation of Teaching (SET)

This dataset is a collection of student evaluations of instructors, annotated with various aspects of teaching quality. This dataset provides structured insights into positive and negative aspects of teaching, student–teacher interactions, and classroom experiences. The dataset consists of textual comments from students about their instructors, along with categorized annotations. Each comment is analyzed for both positive and negative aspects of teaching, as well as associated opinions. In the Files section, there is a Readme file that explains this dataset in more detail.