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Open-SWE-Traces provides a large-scale, permissively licensed, multilingual trajectory dataset that enables fine-tuning of open-source LLMs for autonomous software engineering — directly addressing the data scarcity the paper identifies as the primary bottleneck on this path.
Practitioners building or evaluating LLMs for low-resource or classical languages can use RespondeoQA as a concrete benchmark to probe model weaknesses in skill-based linguistic tasks, and adapt its creation pipeline for other underrepresented languages.