ChestXLLaMA v1.0: Chain-of-Thought Annotations, Prompts, and Generated Reports for Chest X-ray Reasoning

This dataset accompanies the paper “ChestXLLaMA: A Chain-of-Thought-Enhanced Vision–Language Model for Clinical Reasoning in Chest X-ray Reporting.”
It contains the chain-of-thought (CoT) prompts, teacher-model instructions, and example annotated reports used for training and evaluating the ChestXLLaMA model. Each sample pairs a reference chest X-ray report with a ten-step radiology reasoning sequence generated by expert teacher models. No patient images or protected health information are included; only textual annotations, prompts, and generated reasoning outputs. The data support reproducibility of the model’s reasoning-enhanced training process.