v0.1.0: worldwide coverage (284 countries/regions, 14.2M polygons) (part 3)

per_country/us-maryland/us-maryland.parquet

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per_country/uzbekistan/uzbekistan.parquet

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preview/README.md

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 Generated by `scripts/render_map_screenshot.py`, which renders
 [`../sample/sample_map.jsonl`](../sample/sample_map.jsonl) as a folium
 map and screenshots it via headless Chromium. The map shows a
-**sampled** subset of polygons (not the full 7M+); for the
-exhaustive list use [`../combined/all_world.parquet`](../combined/).
+**sampled** subset of polygons (~17k representative polygons
+across all 284 countries); for the exhaustive 14.2M-polygon list
+use [`../combined/all_world.parquet`](../combined/).
 
 [Back to the dataset root](../README.md)

sample/README.md

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 # sample/
 
 **1 file**: `sample_map.jsonl` — a **16,734-polygon** spatial
-sample of the full European dataset, designed to be **highly
+sample of the full worldwide dataset, designed to be **highly
 representative** of the geographic distribution without being too
 dense to render in a browser. Use it as a quick look at "what does
-this dataset look like?" without downloading the 9 GB combined
+this dataset look like?" without downloading the 13 GB combined
 parquet. Schema is centroid-only (no geometry column).
 
 Generated by `scripts/sample_for_map.py`. Algorithm:

splits/split_manifest.json

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   },
   "stratify_by": "country",
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