Work Wellbeing: 30,000 Synthetic Records for Remote Burnout Analysis

A collection of 30,000 synthetic records designed for analyzing remote and hybrid workforce health, created by ZakyF in March 2026. It focuses on predicting burnout risk within HR and People Analytics contexts to simulate employee wellbeing scenarios without using real personal data.

Use Cases

• Predicting burnout risk based on work mode and wellbeing metrics
• Simulating HR analytics dashboards for remote workforce management
• Benchmarking classification models for employee health indicators

Strengths

• 30,000 synthetic records
• Includes a Python notebook for reproducible data generation
• Privacy-safe for HR analytics simulation

Limitations

• Synthetic nature means it may lack the complex behavioral correlations found in real-world employee data
• Geographic bias toward the US region as indicated by metadata tags

Provenance

Source

ZakyF via Hugging Face

Collection Method

synthetic

Freshness

Last updated March 2026.

Geography

United States