Training datasets tailored for domain-specific large language models: challenges, methods and trends
Adapting LLMs to specialized domains critically depends on high-quality training data, making dataset construction a decisive factor in domain performance. This survey reviews methods for constructing domain-adaptation training datasets through a structured, data-centric analysis. Based on a comparative analysis of rep...