Dataset for Syndrome Manifestation Recognition and Multidimensional Evaluation under Pathogenesis Reasoning Chain-of-Thought Supervision

Evaluation metrics include structural parsing (Precision, Recall, F1 score, Jaccard similarity), semantic similarity (rated by independent LLMs), and expert review (consistency of syndrome differentiation and terminology standardization). The summary.csv file is used for generating figures and tables in the associated study.Missing values may occur when certain models fail to produce predictions; in such cases, prediction fields are left empty while available evaluation results are retained.

Potential sources of error include variability in expert scoring, differences in LLM-based semantic evaluation, and limitations in structural parsing.This dataset provides a structured resource for evaluating LLM-based TCM syndrome manifestation recognition, supporting research on interpretable reasoning, semantic alignment, and cross-disease generalization.