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README.md
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@@ -55,7 +55,8 @@ Synthetic population personas across 108 countries, demographically grounded: na
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region and place (with coordinates and settlement tier), marital status, education, employment
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status, occupation, religion, monthly income in PPP dollars, and health conditions.
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to the underlying population weighting. `persona_id` is globally unique (`country`-`id`);
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`country_row_id` preserves the original per-country identifier.
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region and place (with coordinates and settlement tier), marital status, education, employment
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status, occupation, religion, monthly income in PPP dollars, and health conditions.
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Location is given as place name with coordinates and settlement tier (administrative
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subdivision codes are not included). This sample is drawn across the full corpus and shuffled; per-country counts stay proportional
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to the underlying population weighting. `persona_id` is globally unique (`country`-`id`);
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`country_row_id` preserves the original per-country identifier.
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