SE-Eval: A Domain-Specific Rubric-Guided Dataset for Automated Essay Evaluation in Engineering Education

SE-Eval, a large-scale, rubric-based essay dataset comprising over 10,000 responses written by third-year engineering students to prompts covering core concepts in Software Engineering. Each essay is manually scored by three trained raters across five trait dimensions Content, Coherence, Clarity, Structure, and Language, along with an overall holistic score. Essays were collected under standardized academic conditions using a controlled online assessment platform, ensuring consistency and authenticity of submissions.