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

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  1. README.md +9 -9
  2. combined/README.md +3 -3
  3. combined/all_world.parquet +2 -2
  4. per_country/README.md +1 -1
  5. per_country/australia/australia.parquet +3 -0
  6. per_country/canada-alberta/canada-alberta.parquet +3 -0
  7. per_country/canada-british-columbia/canada-british-columbia.parquet +3 -0
  8. per_country/canada-manitoba/canada-manitoba.parquet +3 -0
  9. per_country/canada-new-brunswick/canada-new-brunswick.parquet +3 -0
  10. per_country/canada-newfoundland-and-labrador/canada-newfoundland-and-labrador.parquet +3 -0
  11. per_country/canada-northwest-territories/canada-northwest-territories.parquet +3 -0
  12. per_country/canada-nova-scotia/canada-nova-scotia.parquet +3 -0
  13. per_country/canada-ontario/canada-ontario.parquet +3 -0
  14. per_country/canada-quebec/canada-quebec.parquet +3 -0
  15. per_country/canada-saskatchewan/canada-saskatchewan.parquet +3 -0
  16. per_country/canada-yukon/canada-yukon.parquet +3 -0
  17. per_country/china-gansu/china-gansu.parquet +3 -0
  18. per_country/china-guangdong/china-guangdong.parquet +3 -0
  19. per_country/china-hebei/china-hebei.parquet +3 -0
  20. per_country/china-hubei/china-hubei.parquet +3 -0
  21. per_country/china-jiangxi/china-jiangxi.parquet +3 -0
  22. per_country/china-shaanxi/china-shaanxi.parquet +3 -0
  23. per_country/china-shandong/china-shandong.parquet +3 -0
  24. per_country/china-sichuan/china-sichuan.parquet +3 -0
  25. per_country/china-tibet/china-tibet.parquet +3 -0
  26. per_country/china-xinjiang/china-xinjiang.parquet +3 -0
  27. per_country/china-yunnan/china-yunnan.parquet +3 -0
  28. per_country/china-zhejiang/china-zhejiang.parquet +3 -0
  29. per_country/gcc-states/gcc-states.parquet +3 -0
  30. per_country/greenland/greenland.parquet +3 -0
  31. per_country/india-central-zone/india-central-zone.parquet +3 -0
  32. per_country/india-eastern-zone/india-eastern-zone.parquet +3 -0
  33. per_country/india-northern-zone/india-northern-zone.parquet +3 -0
  34. per_country/india-southern-zone/india-southern-zone.parquet +3 -0
  35. per_country/india-western-zone/india-western-zone.parquet +3 -0
README.md CHANGED
@@ -19,8 +19,8 @@ size_categories:
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  # osm-polygon-selection dataset
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- A curated set of OpenStreetMap polygons across 284
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- countries (49 European + 234 in Africa), classified by
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  **size bin** (`small` / `medium` / `large`, area in [0.1, 100] km²)
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  and tagged by continent (Natural Earth admin0 lookup).
26
 
@@ -48,7 +48,7 @@ mountain ranges, big seas) are excluded by the size filter (see
48
  **Status:** All 284 countries are extracted end-to-end (every OSM object examined, `run.json` written).
49
 
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  **Total polygons:** 14,197,463
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- (combined parquet: `all_world.parquet`).
52
 
53
  ## Layout
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@@ -57,9 +57,9 @@ you need:
57
 
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  | folder | what's inside | typical size |
59
  |--------|---------------|--------------|
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- | [`per_country/`](./per_country/) | one folder per country with `<country>.parquet` + `README.md` | ~7 GB total, <1 MB per small country |
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- | [`combined/`](./combined/) | `all_world.parquet` — every polygon in one file | ~9 GB |
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- | [`sample/`](./sample/) | `sample_map.jsonl` — ~4k representative polygons for quick viz | <1 MB |
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  | [`preview/`](./preview/) | `map_preview.png` — static map thumbnail | ~1 MB |
64
 
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  Start with `sample/` or `preview/` for a quick look. Pull
@@ -174,9 +174,9 @@ one of three values: `train`, `val`, or `test`.
174
 
175
  | split | ratio | polygons |
176
  |-------|-------|----------|
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- | train | 80% | 0 |
178
- | val | 10% | 0 |
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- | test | 10% | 0 |
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  | **Total** | **100%** | **14,197,463** |
181
 
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  The split is **stratified by country**: each country's rows are
 
19
 
20
  # osm-polygon-selection dataset
21
 
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+ A curated set of OpenStreetMap polygons from **284
23
+ countries and sub-country regions** worldwide, classified by
24
  **size bin** (`small` / `medium` / `large`, area in [0.1, 100] km²)
25
  and tagged by continent (Natural Earth admin0 lookup).
26
 
 
48
  **Status:** All 284 countries are extracted end-to-end (every OSM object examined, `run.json` written).
49
 
50
  **Total polygons:** 14,197,463
51
+ (combined parquet: `combined/all_world.parquet`).
52
 
53
  ## Layout
54
 
 
57
 
58
  | folder | what's inside | typical size |
59
  |--------|---------------|--------------|
60
+ | [`per_country/`](./per_country/) | one folder per country with `<country>.parquet` + `README.md` | ~25 GB total, <1 MB per small country |
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+ | [`combined/`](./combined/) | `all_world.parquet` — every polygon in one file | ~13 GB |
62
+ | [`sample/`](./sample/) | `sample_map.jsonl` — ~17k representative polygons for quick viz | ~3 MB |
63
  | [`preview/`](./preview/) | `map_preview.png` — static map thumbnail | ~1 MB |
64
 
65
  Start with `sample/` or `preview/` for a quick look. Pull
 
174
 
175
  | split | ratio | polygons |
176
  |-------|-------|----------|
177
+ | train | 80% | 11,358,587 |
178
+ | val | 10% | 1,419,548 |
179
+ | test | 10% | 1,419,328 |
180
  | **Total** | **100%** | **14,197,463** |
181
 
182
  The split is **stratified by country**: each country's rows are
combined/README.md CHANGED
@@ -3,9 +3,9 @@
3
  **1 file**: `all_world.parquet` — a single parquet with **every**
4
  polygon from **every** country concatenated.
5
 
6
- **14,197,463 polygons** across **284 countries**
7
- (11.8 GB). Schema is identical to the per-country parquets.
8
- Built from the per-country parquet files in
9
  [`../per_country/`](../per_country/). The `country` column tells you
10
  which country each row came from.
11
 
 
3
  **1 file**: `all_world.parquet` — a single parquet with **every**
4
  polygon from **every** country concatenated.
5
 
6
+ **14,197,463 polygons** across **284 countries and
7
+ sub-country regions** (11.8 GB). Schema is identical to the
8
+ per-country parquets. Built from the per-country parquet files in
9
  [`../per_country/`](../per_country/). The `country` column tells you
10
  which country each row came from.
11
 
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per_country/README.md CHANGED
@@ -6,7 +6,7 @@ Total polygons across all countries: **14,197,463**.
6
 
7
  The per-country split mirrors Geofabrik's regional extracts.
8
  Use this folder when you want a single country without paying for
9
- the full 9 GB combined file.
10
  Each parquet has the same 13-column schema as
11
  [`../combined/all_world.parquet`](../combined/all_world.parquet).
12
 
 
6
 
7
  The per-country split mirrors Geofabrik's regional extracts.
8
  Use this folder when you want a single country without paying for
9
+ the full ~13 GB combined file.
10
  Each parquet has the same 13-column schema as
11
  [`../combined/all_world.parquet`](../combined/all_world.parquet).
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