Datasets:
| # brazil-sudeste | |
| 59,249 polygons from `brazil-sudeste-latest.osm.pbf` on Geofabrik | |
| ([source](https://download.geofabrik.de/south-america/brazil/sudeste.html)), filtered by the | |
| [22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and | |
| classified by continent + size bin. | |
| | field | value | | |
| |-------|-------| | |
| | country | `brazil-sudeste` | | |
| | polygons | **59,249** | | |
| | extract_status | **clean** | | |
| | pbf_date | 2026-07-04 | | |
| | source | `brazil-sudeste-latest.osm.pbf` | | |
| | Geofabrik extract | <https://download.geofabrik.de/south-america/brazil/sudeste.html> | | |
| ## Geometry | |
| The parquet file in this folder | |
| (`brazil-sudeste.parquet`) has the same schema as the combined | |
| `combined/all_world.parquet`. Each row carries the polygon | |
| **geometry as WKT** (default), plus centroid + area + the | |
| whitelist-matched tag. | |
| Load with: | |
| ```python | |
| import pyarrow.parquet as pq | |
| table = pq.read_table("per_country/brazil-sudeste/brazil-sudeste.parquet") | |
| df = table.to_pandas() | |
| # df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads | |
| ``` | |
| ## Notes | |
| Brazil-Sudeste has 59,249 polygons in this dataset. Extract status: **clean**. Source: Geofabrik [`brazil-sudeste-latest.osm.pbf`](https://download.geofabrik.de/south-america/brazil/sudeste.html). | |