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Data · dataset · 2026

Wastewater Treatment General Knowledge Q&A Dataset(15,000 Q&A pairs)

Listed in ScienceDB

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.

Description

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.

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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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Chemical engineering 73%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.57760/sciencedb.387148 d agoJSON v1
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