Essays-Big5 dataset

This Essays Big5 dataset, a comprehensive resource containing over 2,400 English-language essays annotated with Big Five personality trait scores (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism). Designed for personality recognition tasks, the dataset provides rich, real-world text data to facilitate the development and benchmarking of models for psychological analysis. Each essay is accompanied by standardized personality annotations derived from psychometric tests, enabling detailed exploration of language-personality correlations. The dataset supports applications in natural language processing (NLP), affective computing, and psychology, offering a valuable foundation for research in personality prediction and language modeling with pretrained transformers and other AI methods.本Essays Big5 数据集是一款综合性研究资源，涵盖超2400篇英文随笔，所有文本均标注有大五人格（Big Five Personality Traits）维度得分，具体包括开放性（Openness）、尽责性（Conscientiousness）、外倾性（Extraversion）、宜人性（Agreeableness）与神经质（Neuroticism）。该数据集专为人格识别任务设计，提供了丰富的真实文本数据，可助力心理分析相关模型的开发与性能基准测试。每篇随笔均附带由心理测量测验推导而来的标准化人格标注，能够支持语言与人格关联关系的精细化探索。本数据集可应用于自然语言处理（Natural Language Processing, NLP）、情感计算（Affective Computing）与心理学领域，为基于预训练Transformer及其他人工智能方法开展的人格预测与语言建模研究提供了宝贵的研究基础。

搜集汇总

背景与挑战

背景概述

Essays-Big5数据集包含2000多篇标注了Big Five人格特质的个人论文，用于研究语言模式与人格维度的相关性，并通过分层分割确保数据平衡。