bsdibi/foundation-pit-engineering-instruction-dataset

该数据集是为了支持一篇关于基于LoRA和RAG的基坑工程知识服务系统的研究论文而构建的。它包含8000多个高质量的指令-响应对，这些对来自35个国家和行业标准，专门用于在岩土工程领域微调大型语言模型（LLMs）。数据集的语言为中文，格式为JSONL，每个样本包含instruction和output两个字段。数据集的构建过程包括文本提取、结构化解析、Q&A生成和质量修订四个步骤。数据集适用于监督微调（SFT）、领域适应和模型性能评估等用途。

This dataset is constructed to support the research presented in the paper *A Knowledge Service System for Foundation Pit Engineering Based on LoRA and RAG*. It consists of high-quality instruction-response pairs derived from national and industry standards for foundation pit engineering, designed for fine-tuning large language models (LLMs) in the specialized domain of geotechnical engineering.