Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
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Abstract (arXiv)
We present Multi-EuP, a new multilingual benchmark dataset, comprising 22K multi-lingual documents collected from the European Parliament, spanning 24 languages. This dataset is designed to investigate fairness in a multilingual information retrieval (IR) context to analyze both language and demographic bias in a ranking context. It boasts an authentic multilingual corpus, featuring topics translated into all 24 languages, as well as cross-lingual relevance judgments. Furthermore, it offers rich demographic information associated with its documents, facilitating the study of demographic bias. We report the effectiveness of Multi-EuP for benchmarking both monolingual and multilingual IR. We also conduct a preliminary experiment on language bias caused by the choice of tokenization strategy.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 3 Nov 2023.
Builds on
11 of 18 references.
References · 11
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Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024MessIRve: A Large-Scale Spanish Information Retrieval Datasetcited by 3
- 2025Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methodscited by 2
- 2025Benchmarking Gender and Political Bias in Large Language Modelscited by 0
- 2025Assessing the Political Fairness of Multilingual LLMs: A Case Study based on a 21-way Multiparallel EuroParl Datasetcited by 0
- 2025Assessing the Political Fairness of Multilingual LLMs: A Case Study based on a 21-way Multiparallel EuroParl Dataset23 Oct 2025
- 2025Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods7 Sep 2025
- 2025Benchmarking Gender and Political Bias in Large Language Models7 Sep 2025
- 2024MessIRve: A Large-Scale Spanish Information Retrieval Dataset9 Sep 2024