CoolFace
Datasetpublic

NoeFlandre/osm-polygon-wikidata-only

OSM Polygon Wikidata, Wikipedia and Wikivoyage OSM polygons carrying wikidata=*, enriched with multilingual Wikipedia and Wikivoyage documents. The published tables preserve regional records and provenance. Source code: GitHub repository. Dataset snapshot Metric Value Polygon rows across regional extracts 1,184,110 Unique polygon identities (osm_type, osm_id) 1,157,841 Polygons with successful non-empty text (unique OSM identities) 650,663… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-wikidata-only.

sourceHugging Faceodblupdated 5d agoView on Hugging Face
1likes9.2kdownloads
Dataset Card

[image]

OSM Polygon Wikidata, Wikipedia and Wikivoyage

OSM polygons carrying wikidata=*, enriched with multilingual Wikipedia and Wikivoyage documents. The published tables preserve regional records and provenance.

Source code: GitHub repository.

Dataset snapshot

MetricValue
Polygon rows across regional extracts1,184,110
Unique polygon identities (osmtype, osmid)1,157,841
Polygons with successful non-empty text (unique OSM identities)650,663
Wikipedia + Wikivoyage documents2,206,563
Wikipedia + Wikivoyage sections12,299,365
Wikipedia + Wikivoyage languages351
Geographic regions375
Total Parquet size20.6 GB

Polygon rows preserve regional records. Identity metrics use one deterministic representative per (osm_type, osm_id). Text requires fetch_status=ok and a trimmed non-empty full_text.

Text volume: 801,528,334 document words. Sentence rows are not generated for this dataset version.

Document words count full Wikipedia and Wikivoyage document text; section rows are excluded. Sentence rows include split and explicitly unsplit unsupported-language rows when sentence sidecars exist.

Coverage maps

All polygon identities

[image]

One point per unique retained polygon identity, including identities without text.

Polygon identities with text

[image]

One point per unique identity with successful non-empty text (650,663).

H3 text density

[image]

Each H3 cell shows the absolute count of unique text-covered polygon identities; it is not a proportion.

Geographic distribution by continent

Counts use one deterministic representative per polygon identity and the same text definition as the maps.

ContinentPolygonsWikipedia documentsWikivoyage documentsPolygons with Wikipedia textPolygons with Wikipedia or Wikivoyage textText coverage
Africa10,96855,2545508,0048,00473.0%
Antarctica2541,684125125198.8%
Asia116,622387,5671,81193,99594,01680.6%
Europe773,3581,073,7095,163364,557364,55747.1%
North America158,035392,7393,429116,445116,44673.7%
Oceania19,80730,67839611,46711,46857.9%
South America18,45563,18178613,11513,11571.1%
Unassigned60,342193,7852,00742,80442,80670.9%

Polygon area and geometry

Recorded polygon area: 179,051,037.7964 km² total; median 1,357.6 m². Complete area distribution, histogram, geometry, extent, and per-source statistics: `stats.json`.

Schema

Dataset Viewer schema. The published tables are documented by their Dataset Viewer configurations.

Data sources & licenses

OpenStreetMap polygons are ODbL; Wikidata is CC0; Wikipedia and Wikivoyage text are CC BY-SA 4.0.

How to load

python
from datasets import load_dataset
ds = load_dataset("parquet", data_files={"polygons": "hf://datasets/NoeFlandre/osm-polygon-wikidata-only/polygons/*.parquet"})

Citation

Download the dataset citation metadata from `CITATION.cff`.