2026-10-14T15:05:27Z https://www.scidb.cn/oai

10.57760/sciencedb.44180 2026-09-20T09:57:44Z

2026-09-20 Contradictory parameter extraction-fine-tuning training data doi:10.57760/sciencedb.44180 en The original data sources of this data set: [1] Guarino G, Samet A, Cavallucci D. Patriz: A Framework for Mining TRIZ Contraventions in Patents [J]. Expert Systems with Applications, 2022,207: 117942.The data set is processed on the basis of the original data and stored in json file. The data contains nearly 1,100 patents and nearly 9,000 contradictory parameters of expert standards, among which the contradictory parameters are divided into PE+, PE- and PA. patent; triz; contradiction Qu Qianwei RESTRICTED dataset Science Data Bank