2026-10-14T15:31:10Z https://www.scidb.cn/oai

10.57760/sciencedb.39884 2026-08-10T10:41:05Z

2026-08-10 A Chinese Tourism Service Defect Quintuple Dataset for Large Language Models doi:10.57760/sciencedb.39884 en The "Chinese Tourism Service Defect Quintuple Dataset for Large Language Model Fine-Tuning" is a high-quality, domain-specific corpus constructed to address the limitations of Large Language Models (LLMs) in fine-grained defect attribution and evidence traceability within the tourism industry. Based on 23,697 real negative tourist reviews, the dataset contains 78,429 fine-grained features annotated via a human-in-the-loop approach. It pioneers a novel quintuple annotation scheme comprising "service dimension, specific entity, defect manifestation, severity, and textual evidence." Divided into a silver-standard training set (73,810 instances) for instruction tuning and a gold-standard test set (4,619 instances) for precise evaluation, this dataset fills the gap in fine-grained instruction tuning data for the Chinese tourism domain. Furthermore, it provides essential data support and a benchmark platform for developing intelligent and interpretable tourism quality monitoring systems. tourism service defects; quintuple dataset; fine-grained sentiment analysis; large language models; instruction fine-tuning Li Ailin yue wen long Dong Zhaozhao Zhu Wendi Wang Zhihang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2026.0118.zh Science Data Bank