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Text · dataset · 2025

ZurichNLP/SwissGov-RSD

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SwissGov-RSD Dataset Description 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: huggingface.co/datasets/ZurichNLP/SwissGov-RSD.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsZurichNLP/SwissGov-RSD15 d agoJSON v1
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