Big5PersonalityEssays：引入一个由基于人格五因素模型标注的短篇意识流随笔组成的新型合成生成数据集
Big5PersonalityEssays: Introducing a Novel Synthetic Generated Dataset Consisting of Short State-of-Consciousness Essays Annotated Based on the Five Factor Model of Personality
AI总结：
本研究针对心理学领域缺乏可用数据集的问题，提出了Big5PersonalityEssays数据集，这是一个基于人格五因素模型（FFM）标注的短篇意识流随笔合成数据库，旨在促进大语言模型在心理学中的应用。
摘要：
鉴于大语言模型（LLM）的高度发展，研究其行为并将其实用性应用于各类科学领域至关重要。近年来，心理学领域很少采用新型计算工具进行研究。原因之一是进行适当分析所需的数据具有高度复杂性。此外，以心理测量学为重点的心理学，可用于分析和人工智能使用的数据集很少。基于这些事实，本研究引入了一个短篇随笔的合成数据库，这些随笔基于人格特质的大五因素模型（FFM）进行了标注。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
