20min-XD: A Comparable Corpus of Swiss News Articles

We present 20min-XD (20 Minuten cross-lingual document-level), a French-German, document-level comparable corpus of news articles, sourced from the Swiss online news outlet 20 Minuten/20 minutes. Our dataset comprises around 15,000 article pairs spanning 2015 to 2024, automatically aligned based on semantic similarity. We detail the data collection process and alignment methodology. Furthermore, we provide a qualitative and quantitative analysis of the corpus. The resulting dataset exhibits a broad spectrum of cross-lingual similarity, ranging from near-translations to loosely related articles, making it valuable for various NLP applications and broad linguistically motivated studies. We publicly release the dataset in document- and sentence-aligned versions and code for the described experiments.

@article{wastl2025_2504.21677,
  title={ 20min-XD: A Comparable Corpus of Swiss News Articles },
  author={ Michelle Wastl and Jannis Vamvas and Selena Calleri and Rico Sennrich },
  journal={arXiv preprint arXiv:2504.21677},
  year={ 2025 }
}