--- license: cc-by-4.0 language: - de - fr - it - en dataset_info: - config_name: de - config_name: it - config_name: fr --- [![Paper](https://img.shields.io/badge/📄%20Paper-arXiv%3A2512.07538-B31B1B.svg)](https://arxiv.org/pdf/2512.07538) [![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-black?logo=github)](https://github.com/ZurichNLP/SwissGov-RSD) # SwissGov-RSD ## Dataset Description SwissGov-RSD is the 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](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 to translation errors, asynchronous updates, or explicitations. ## Dataset Structure The dataset consists of 224 document pairs for each language pair. Each sample consists of: - text_a: English side of the document pair as a string. - text_b: Non-English side of the document pair as a string. - labels_a: Per word (separated by whitespaces) label for English side ranging from 0 to 1 (punctuation = -1). - labels_b: Per word (separated by whitespaces) label for non-English side ranging from 0 to 1 (punctuation = -1). - page_en: URL of the scraped webiste in the English language. - page_other: URL of the scraped website in the non-English language. - subset: Subset name according to language. - id: The sample ID. ## Citation information ```bibtex @misc{wastl2025swissgovrsdhumanannotatedcrosslingualbenchmark, title={SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents}, author={Michelle Wastl and Jannis Vamvas and Rico Sennrich}, year={2025}, eprint={2512.07538}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2512.07538}, } ```