DOI: 10.5281/zenodo.17286313
title: The Personality Trap Dataset

description: The Personality Trap Dataset

Research Paper: "The Personality Trap: How LLMs Embed Bias When Generating Human-Like Personas" (under review)

Link to paper: [TBA]

Code Repository: https://anonymous.4open.science/r/the_personality_trap-F487/README.md

Version: October 8, 2025

Quick Start

This archive contains the complete research dataset for "The Personality Trap" study.

Contents





sql/personas_database_backup.sql.gz (47MB) - Complete PostgreSQL database dump




sql/schema_export.sql (29KB) - Schema-only DDL export




sql/create_experiments_evals_view.sql (8.5KB) - Materialized view creation




csv/ (280MB) - CSV exports of all 9 tables




scripts/ - Restoration and backup utilities




restore_backup.sh - One-command automated restoration script




create_backup.sh - Script to create new backups




README.md - This file




DATASET_DESCRIPTION.md - Complete dataset documentation



One-Command Restore

# Extract the archive

tar -xzf the_personality_trap.tar.gz

cd the_personality_trap



# Run automated restore (requires Docker)

./restore_backup.sh

Manual Restore

# Extract and restore using PostgreSQL

tar -xzf the_personality_trap.tar.gz

cd the_personality_trap



# Restore to your PostgreSQL instance

gunzip -c sql/personas_database_backup.sql.gz | psql -h localhost -U your_user -d your_database



# Create materialized view

psql -h localhost -U your_user -d your_database -f sql/create_experiments_evals_view.sql

Dataset Overview





Total Records: 698,632 across 9 tables + 1 materialized view




Personas Generated: 82,600 unique AI personas




Models Tested: GPT-3.5, GPT-4o, Claude 3.5 Sonnet, Llama 3.1 70B, Llama 3.2 3B




Personality Profiles: 826 unique EPQR-A profiles




Experimental Conditions: Baseline, MaxN (high neuroticism), MaxP (high psychoticism)



Tables





personas (82,600) - AI-generated personas with demographics




reference_questionnaires (19,824) - EPQR-A personality profiles




random_questionnaires (19,824) - Random baseline control




experiments_list (17,346) - Individual experiment records




experiments_groups (22) - Experiment configurations




eval_questionnaires (541,680) - Parsed LLM questionnaire responses




questionnaire (752) - Master questionnaire definitions (EPQR-A + Big Five)




experiment_request_metadata (18,573) - Raw API request/response data




alembic_version (1) - Database migration tracking



Materialized View



experiments_evals - Pre-computed evaluation results with cleaned mappings


Documentation

Complete documentation: See DATASET_DESCRIPTION.md in this archive or visit the code repository.

Code and analysis scripts: https://anonymous.4open.science/r/the_personality_trap-F487/README.md

The code repository includes:





Complete replication package




Data processing pipelines




Analysis notebooks (reproduces all paper results)




Database schema documentation




Usage guides and troubleshooting



Citation

Dataset Citation:

@dataset{,

  title={},

  author={},

  year={2025},

  publisher={Zenodo},

  doi={[DOI TBD]},

  url={https://zenodo.org/[record-id]}

}

Paper Citation:

@article{,

  title={The Personality Trap: How LLMs Embed Bias When Generating Human-Like Personas},

  author={},

  journal={[Journal TBD]},

  year={2025},

  note={Under review}

}

Technical Details





PostgreSQL Version: 16.10 (compatible with 14+)




Schema: personality_trap




Database Size: ~47MB compressed, ~280MB CSV exports




Alembic Migration: 001_initial_schema