Big5PersonalityEssays: 基于人格五因素模型注释的、由意识状态短文组成的新型合成生成数据集介绍

Iustin Floroiu
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摘要

鉴于大型语言模型(LLM)的迅猛发展,研究其行为并将其应用于各种科学领域至关重要。近年来,心理学在使用新型计算工具方面一直进展缓慢。原因之一是进行适当分析所需的数据非常复杂。此外,以心理测量为重点的心理学可用于分析和人工智能的数据集很少。基于这些事实,本研究引入了一个基于人格特质五因素模型(FFM)的短文综合数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big5PersonalityEssays: Introducing a Novel Synthetic Generated Dataset Consisting of Short State-of-Consciousness Essays Annotated Based on the Five Factor Model of Personality
Given the high advances of large language models (LLM) it is of vital importance to study their behaviors and apply their utility in all kinds of scientific fields. Psychology has been, in recent years, poorly approached using novel computational tools. One of the reasons is the high complexity of the data required for a proper analysis. Moreover, psychology, with a focus on psychometry, has few datasets available for analysis and artificial intelligence usage. Because of these facts, this study introduces a synthethic database of short essays labeled based on the five factor model (FFM) of personality traits.
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