CharXiv-D

CharXiv-D is a natural and challenging benchmark featuring charts collected from arXiv papers paired with human-curated questions for chart understanding evaluation. This dataset variant focuses on descriptive questions about chart content, testing AI models' ability to accurately interpret and describe visual data representations found in academic publications. CharXiv-D measures fundamental chart comprehension skills required for scientific document analysis.