plosone_minimal_dataset.csv

This dataset contains the results of a novel, LLM-driven annotation process applied to expert coffee reviews, as presented in the manuscript "Automated Multi-Label Coffee Flavor Classification: A Comparative Study of BERT and TF-IDF using LLM-Driven Data Annotation."This "Minimal Dataset" is provided to ensure the reproducibility of our findings. It includes:A unique <code>review_id</code> for each entry.The original <code>blind_assessment</code> text used as input for the LLM.The original quantitative sensory scores (<code>Final Score</code>, <code>Aroma</code>, <code>Acidity/Structure</code>, etc.) provided by human experts, which were used for the quantitative validation of the LLM's annotations.The final 17 columns of binary (0/1) flavor labels as generated by the LLM.