ZurichNLP/20min-XD
20min-XD: A Comparable Corpus of Swiss News Articles Dataset Summary 20min-XD (20 Minuten cross-lingual document-level) is a comparable corpus of Swiss news articles in German and French, collected from the online editions of 20 Minuten and 20 minutes between 2015 and 2024. The dataset consists of 15,000 semantically aligned German and French article pairs. Unlike parallel corpora, 20min-XD captures a broad spectrum of cross-lingual similarity, ranging from… See the full description on the dataset page: https://huggingface.co/datasets/ZurichNLP/20min-XD.
20min-XD: A Comparable Corpus of Swiss News Articles
Dataset Summary
20min-XD (20 Minuten cross-lingual document-level) is a comparable corpus of Swiss news articles in German and French, collected from the online editions of 20 Minuten and 20 minutes between 2015 and 2024. The dataset consists of 15,000 semantically aligned German and French article pairs. Unlike parallel corpora, 20min-XD captures a broad spectrum of cross-lingual similarity, ranging from near-translations to related articles covering the same event. This dataset is intended for non-commercial research use only – please refer to the accompanying license/copyright notice for details.
Details
- Languages: German (de), French (fr)
- Available versions:
- Document level: Contains full article pairs.
- Size: 15,000 article pairs
- Sentence level: Contains alignable sentences from the 15'000 article pairs. Note that all alignable sentences are contained in this dataset without considering a similarity threshold. We recommend, setting a similarity threshold (e.g.: 79) to filter for semantically similar sentences.
- Size: 117,126 sentence pairs
- The datasets contain the following information:
- Document level:
- ``
id_de/fr``: unique article ID - ``
score``: cosine similarity score - ``
content_id_de/fr``: content ID - ``
pubtime_de/fr``: time of publication - ``
article_link_de/fr``: link to the online news article - ``
medium_code_de/fr``: abbreviation for the name of the news outlet - ``
medium_name_de/fr``: full name of the news outlet - ``
language_de/fr``: language code - ``
char_count_de/fr``: character count of the content - ``
head_de/fr``: article head text - ``
subhead_de/fr``: article subhead text - ``
content_de/fr``: article content text
- Sentence level:
- ``
id_de/fr``: unique sentence ID - ``
score``: cosine similarity score - ``
sentence_id_de/fr``: document internal sentence ID - ``
aligned_article_id_de/fr``: document ID - ``
sentence_de/fr``: sentence - ``
char_count_de/fr``: character count of the sentence - ``
char_count_diff``: absolute difference between character counts of German and French sentence
Citation
If you use 20min-XD in your research, please cite:
@inproceedings{wastl-et-al-2025-20min,
title = "20min-{XD}: A Comparable Corpus of {S}wiss News Articles",
author = "Wastl, Michelle and
Vamvas, Jannis and
Calleri, Selena and
Sennrich, Rico",
editor = {Gerber, Jonathan and
Cieliebak, Mark and
Tuggener, Don and
H{\"u}rlimann, Manuela},
booktitle = "Proceedings of the 10th edition of the Swiss Text Analytics Conference",
month = may,
year = "2025",
address = "Winterthur, Switzerland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.swisstext-1.1/",
pages = "1--10"
}