Claire Radar

ERUnderstand

原始来源英文简介

ERUnderstand evaluates vision-language models on structured understanding of entity-relationship diagrams. The benchmark contains 2,960 diagrams across curated educational sources, real-world schemas, and synthetic data, with standardized machine-readable JSON annotations. Scoring uses F1, BLEU, and graph edit distance to measure how accurately models recover schema elements such as entities, relationships, attributes, and extended ER constructs.