SwissGov-RSD is a naturalistic, human-annotated, document-level, cross-lingual dataset for token-level semantic difference recognition (RSD). It contains 224 multi-parallel Swiss government documents from admin.ch in English–German, English–French, and English–Italian, annotated with fine-grained semantic difference labels (0–1) at the token level.
The dataset targets real-world scenarios where cross-lingual content diverges due… See the full description on the dataset page: https://huggingface.co/datasets/ZurichNLP/SwissGov-RSD.