LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data

• URL: http://arxiv.org/abs/2510.24434v1
• Date: Tue, 28 Oct 2025 14:02:55 GMT
• Title: LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
• Authors: Julian Valline, Cedric Lothritz, Jordi Cabot,
• Abstract summary: LuxIT is a novel, monolingual instruction tuning dataset for Luxembourgish developed to mitigate this challenge.<n>We synthesize the dataset from a corpus of native Luxembourgish texts, utilizing DeepSeek-R1-0528, chosen for its shown proficiency in Luxembourgish.
• Score: 2.383798778903081
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The effectiveness of instruction-tuned Large Language Models (LLMs) is often limited in low-resource linguistic settings due to a lack of high-quality training data. We introduce LuxIT, a novel, monolingual instruction tuning dataset for Luxembourgish developed to mitigate this challenge. We synthesize the dataset from a corpus of native Luxembourgish texts, utilizing DeepSeek-R1-0528, chosen for its shown proficiency in Luxembourgish. Following generation, we apply a quality assurance process, employing an LLM-as-a-judge approach. To investigate the practical utility of the dataset, we fine-tune several smaller-scale LLMs on LuxIT. Subsequent benchmarking against their base models on Luxembourgish language proficiency examinations, however, yields mixed results, with performance varying significantly across different models. LuxIT represents a critical contribution to Luxembourgish natural language processing and offers a replicable monolingual methodology, though our findings highlight the need for further research to optimize its application.

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