2026-10-14T20:05:38Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00720 2026-09-20T09:57:55Z

2026-09-20 Experimental Data and Results on Multilabel Classification of Ancient Poetry and Wine Culture doi:10.57760/sciencedb.j00133.00720 en This dataset provides supporting data for the article “A Multi-Label Classification Method for Shi-Jiu Culture in Classical Chinese Poetry Based on Domain-Adaptive Pretraining and Semantic Cluster Priors.” It contains 996 training samples and 248 development samples, with 1,244 poems in total. Each sample is annotated with one or more of four cultural labels: institutional culture, material culture, spiritual culture, and behavioral culture. The dataset also provides summarized experimental results, including dataset statistics, pretrained model comparisons, PC-PLM and feature-concatenation results, category-wise F1 scores, K-sensitivity analysis, imbalance-handling comparisons, raw results from five random seeds, mean and standard deviation summaries, and paired t-test results. The labeled samples were selected and organized from the “Geographical Dataset of Wine Culture in Tang and Song Poetry of the Yangtze River Basin.” The unlabeled corpus used for domain-adaptive pretraining was obtained from the GitHub project chinese-poetry-and-prose and is not redistributed here. Training code, model weights, and step-level training logs are not included. Classical Chinese poetry; Shi-Jiu culture; Multi-label classification; Domain-adaptive pretraining; Semantic cluster prior Li Ailin jin qi cheng Wang Jizong Shangguan Wentong Wang Wenjun PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank