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ASAG2024 is a comprehensive short‑answer grading benchmark dataset created by the Zurich University of Applied Sciences. It comprises seven commonly used short‑answer grading datasets, totaling 19,000 question‑answer‑score triples across multiple subjects and education levels. Scores are normalized between 0 and 1 to facilitate comparison across datasets. The creation involved integrating data from multiple sources and standardizing them. The dataset is primarily used to evaluate and compare the performance of automated grading systems, aiming to address automation and generalizability challenges in short‑answer grading.
