ZurichNLP/SwissGov-RSD
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: https://huggingface.co/datasets/ZurichNLP/SwissGov-RSD.
| Author / organization | ZurichNLP |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 606 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 26 November 2025 |
| Last updated at source | 30 July 2026 |
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Connected in the knowledge graph
- andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidirModel · used to train
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