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

arXiv: https://arxiv.org/abs/2407.17586 · HTML: https://mlsanity.com/paper/2407.17586/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 7 references that are in the map.
- First posted on arXiv 22 May 2024.

## Builds on (most cited first, 1 of 1)

- [GPT-4 Technical Report](https://mlsanity.com/paper/2303.08774/) (2023)

## Built on by (most cited first, 1 of 1)

- [BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data](https://mlsanity.com/paper/2410.16491/) (2024)

## Abstract (arXiv)

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.