To what extent does fine-tuning on BEIR-NL improve downstream task performance in Dutch legal and news domains

Abstract

Abstract: Zero-shot evaluation of information retrieval (IR) models is often performed using BEIR; a large and heterogeneous benchmark composed of multiple datasets, covering different retrieval tasks across various domains. Although BEIR has become a standard benchmark for the zero-shot setup, its exclusively English content reduces its utility for underrepresented languages in IR, including Dutch. To address this limitation and encourage the development of Dutch IR models, we introduce BEIR-NL by automatically translating the publicly accessible BEIR datasets into Dutch. Using BEIR-NL, we evaluated a

Research Question

To what extent does fine-tuning on BEIR-NL improve downstream task performance in Dutch legal and news domains, and how does this correlate with improvement in R@100 and MRR scores compared to zero-shot baselines?

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Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

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Provenance