Mention structural-context.csv (World Bank WGI + WDI) in dataset card
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README.md
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**Sources / Fuentes:** Pollsters (Invamer, AtlasIntel, CNC, Guarumo, GAD3, CELAG, …) · [Wikipedia — 2026 Colombian presidential election](https://en.wikipedia.org/wiki/2026_Colombian_presidential_election) · [AS/COA poll tracker](https://www.as-coa.org/articles/poll-tracker-colombias-2026-presidential-election) · Polymarket. Column definitions in [`DATA_DICTIONARY.md`](DATA_DICTIONARY.md).
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**Sources / Fuentes:** Pollsters (Invamer, AtlasIntel, CNC, Guarumo, GAD3, CELAG, …) · [Wikipedia — 2026 Colombian presidential election](https://en.wikipedia.org/wiki/2026_Colombian_presidential_election) · [AS/COA poll tracker](https://www.as-coa.org/articles/poll-tracker-colombias-2026-presidential-election) · Polymarket. Column definitions in [`DATA_DICTIONARY.md`](DATA_DICTIONARY.md).
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## Structural context (World Bank)
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Beyond the divergence data, this dataset ships `data/colombia-structural-context.csv`: official, open World Bank indicators that frame the country — **governance** (Worldwide Governance Indicators, 0-100 scale) plus **economy & education** (World Development Indicators: population, GDP, GDP per capita, inflation, public education spending, expected years of schooling). These are annual structural indicators that contextualize the country; they do **not** predict the electoral outcome. Columns are documented in `DATA_DICTIONARY.md`.
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