DesignQAR

ImagesTextsIntroduced 2025-06-19

A curated dataset of 221 question-answer-rationale triples capturing visualization design decisions and the reasoning behind them, derived from real-world student-authored narratives. Each entry includes:

id: Unique identifier (e.g., QAR_001) concept: One of 9 visualization design concepts (e.g., Color, Layout, Interaction) question: A natural language question probing a design choice answer: A short factual answer rationale: A natural language explanation of the reasoning behind the choice images: List of filenames associated with the visualization(s)