2026-10-14T14:12:13Z https://www.scidb.cn/oai

10.57760/sciencedb.j00052.00038 2023-08-31T09:07:27Z

2023-08-31 An Automatic Scoring System for Chinese Verbal Creativity Based on Pre-Trained Language Models: Construction and Verification doi:10.57760/sciencedb.j00052.00038 en This data set is the data set and supplementary materials for the study of "An Automatic Scoring System for Chinese Verbal Creativity Based on Pre-Trained Language Models: Construction and Verification".This study aims to develop an automatic scoring system for Chinese creativity based on dynamic pre-trained language models (BERT, S-BERT, SimCSE) to provide automatic and reliable scoring for Chinese creativity. This study consisted of two sub-studies, in which a total of 691 participants were recruited to complete four AUT tasks. The main purpose of the study is to investigate whether the model-rated scores can replace the traditional human-rated scores, that is, whether they are highly correlated and whether they have similar correlations with external criterion variables. creativity; semantic distance; pre-trained language model yang tian chen Yubo Hou PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank