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This article introduces a new benchmark dataset, SwissGov-RSD, designed for evaluating models' ability to identify semantic differences at the token level across different languages. The focus is on cross-lingual understanding and the nuances of meaning within related documents. The use of human annotation suggests a focus on high-quality data for training and evaluation.
Reference