Big5PersonalityEssays: Introducing a Novel Synthetic Generated Dataset Consisting of Short State-of-Consciousness Essays Annotated Based on the Five Factor Model of Personality

TL;DR

This paper introduces a synthetic dataset of short essays annotated with the Five Factor Model of personality traits, aiming to facilitate AI and psychological research despite limited existing data.

Contribution

It presents a novel synthetic dataset of personality-annotated essays to support AI and psychological studies in a data-scarce field.

Findings

Created a large, labeled synthetic essay dataset

Demonstrated potential for AI-based personality analysis

Facilitates research in psychology and NLP

Abstract

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.