Empathy Annotated Student Peer Reviews On Business Models

This corpus contains 500 student peer reviews about business model feedback, annotated for cognitive and emotional empathy levels. The reviews are categorized into three components: strength, weakness, and suggestions for improvement. It was created by thiemowa and released in 2021.

Use Cases

• Analyze the relationship between review components (strength, weakness, suggestions) and annotated empathy levels.
• Train a text classifier to predict cognitive or emotional empathy scores from peer review text.
• Compare the distribution of empathy levels across the three defined review component types.

Strengths

• Contains 500 annotated peer reviews, providing a defined sample for analysis.
• Annotations are based on a structured framework for cognitive and emotional empathy.
• Includes annotation guidelines (guideline.pdf) for methodological transparency.

Limitations

• The sample size of 500 reviews may be insufficient for training complex deep learning models.
• The data is from a specific context (student peer reviews on business models), limiting generalizability.
• The dataset was last updated in 2021, potentially reflecting older annotation practices or contexts.

Provenance

Source

GitHub repository: https://github.com/thiemowa/empathy_annotated_peer_reviews

Collection Method

Student peer reviews annotated based on defined guidelines for empathy levels.

Freshness

Last updated in 2021.