WWTP-QA: A dataset for question answering in wastewater treatment plants in China

Under qa/, the policy qa/ directory contains train.json, val.json, and test.json with 19,074, 2,119, and 2,355 policy QA samples, respectively. The knowledge qa/ directory contains the same three files, with 12,168, 1,513, and 1,578 knowledge QA samples. All QA samples follow an Alpaca-style instruction-tuning format and are stored as JSON objects with three fields: instruction, input, and output. Here, instruction corresponds to the question, output corresponds to the answer, and input provides optional supplementary context (set to the empty string "" for all samples in this dataset).