Historical Inequality Dataset & Annotation Project
TextData Collection
This project transforms qualitative historical analysis into a structured dataset capturing the impact
of the First and Second World Wars on socioeconomic equality.
Data was extracted from historical analysis and manually annotated into structured variables. Each
observation represents a discrete historical claim. Variables include Country/Region, Time Period,
Variable Type (economic, social, political), Indicator, Direction of Change, and Description.
Labelling followed consistent rules: - Redistribution or reduced inequality → Decrease - Expansion
of rights → Increase - Post-war reversals → Increase in inequality
This project transforms qualitative historical analysis into a structured dataset capturing the impact of the First and Second World Wars on socioeconomic equality. Data was extracted from historical analysis and manually annotated into structured variables. Each observation represents a discrete historical claim. Variables include Country/Region, Time Period, Variable Type (economic, social, political), Indicator, Direction of Change, and Description. Labelling followed consistent rules: - Redistribution or reduced inequality → Decrease - Expansion of rights → Increase - Post-war reversals → Increase in inequality
2025 - 2025