2026-10-14T11:22:02Z https://www.scidb.cn/oai

10.57760/sciencedb.013qf 2026-09-28T15:58:21Z

2026-09-28 Question-and-Answer Knowledge Base of Chinese Forestry Law Based on Large Language Models doi:10.57760/sciencedb.013qf en This dataset provides a structured question-and-answer (Q&A) knowledge base for Chinese forestry law, constructed using an LLM-based Intelligent Question Answering Method for Forestry Law (LLM-IQAM-FL). It contains five JSON-formatted components: (1) a regulation knowledge base of 656 legal provisions extracted from the LawRefBook of the People's Republic of China, spanning 19 forestry-related laws; (2) a case knowledge base of 1,146 civil cases from the Chinese Civil Case Retrieval Dataset (C3RD), each record consisting of a query, a query case, and a candidate case list; (3) a Chain-of-Thought (CoT) forestry-law Q&A dataset of 1,564 question-answer pairs generated by DeepSeek-Reasoner; (4) a CoT legal-consultation dataset of 916 question-answer pairs; and (5) a legal-provision dataset of 62,733 provision-content pairs. The dataset is designed for Chinese forestry-law question answering via retrieval-augmented generation (RAG) and model fine-tuning. forestry law; question answering; knowledge base; large language models; retrieval-augmented generation; chain-of-thought Yuxin Chen PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank