2026-10-10T17:11:47Z https://www.scidb.cn/oai

10.57760/sciencedb.38714 2026-06-08T09:08:37Z

2026-06-08 Wastewater Treatment General Knowledge Q&A Dataset(15,000 Q&A pairs) doi:10.57760/sciencedb.38714 en To support natural-language interaction in wastewater treatment scenarios, we constructed and publicly release a general-knowledge question-answering dataset containing 15,000 Q&A pairs. The dataset covers a broad range of topics encountered in real treatment plants, including [process principles, common treatment units, operational parameters, equipment maintenance, water quality indicators, and routine troubleshooting]. The questions are written in the way front-line operators would naturally ask them, rather than in formal technical phrasing, so that the dataset reflects how non-experts actually seek help in daily work.The Q&A pairs were [collected and curated from textbooks, technical manuals, operating guidelines, and domain expert input], and were [reviewed by wastewater treatment professionals] to ensure accuracy and practical relevance. We hope this dataset can serve as a foundation for fine-tuning and evaluating large language models in the wastewater treatment domain, and help lower the barrier for operators without an AI background to use such tools in their work. Wastewater Treatment; Domain-Specific Dataset; Large Language Model Wang JianHui Li Yafei PUBLIC https://creativecommons.org/licenses/by-sa/4.0/ dataset Science Data Bank