Development of a Synthetic Oncology Pathology Dataset for Large Language Model Evaluation in Medical Text Classification.

The dataset provides a structured, clinically relevant benchmark for evaluating LLM performance in pathology text classification, enabling reproducible and privacy-preserving AI research and paving the way for scalable and ethical AI-driven oncology documentation.