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We present Multi-EuP, a new multilingual benchmark dataset, comprising 22Kmulti-lingual documents collected from the European Parliament, spanning 24languages. This dataset is designed to investigate fairness in a multilingualinformation retrieval (IR) context to analyze both language and demographicbias in a ranking context. It boasts an authentic multilingual corpus,featuring topics translated into all 24 languages, as well as cross-lingualrelevance judgments. Furthermore, it offers rich demographic informationassociated with its documents, facilitating the study of demographic bias. Wereport the effectiveness of Multi-EuP for benchmarking both monolingual andmultilingual IR. We also conduct a preliminary experiment on language biascaused by the choice of tokenization strategy.

Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval