datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
osm-polygon-selection
osm-polygon-selection dataset
A curated set of OpenStreetMap polygons from 310
geographic units — sovereign countries plus sub-country regions
like Brazilian states, Chinese provinces, Indian zones, US states,
Canadian provinces, Japanese regions, and Indonesian islands —
classified by size bin (small / medium / large, area in
[0.1, 100] km²) and tagged by continent (Natural Earth admin0 lookup).
Size bins:
small — area in [0.1, 1) km² (10,000 m² to 1 km², roughly
100 m × 100 m… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-selection.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.osm-polygon-wikidata-and-wikipedia
OSM Polygon Wikidata + Wikipedia, V2
V2 builds on the V1 Wikidata-only dataset with multilingual Wikipedia and Wikivoyage text. It also retains valid multilingual wikipedia=* references, including polygons without a Wikidata QID.
Source code: GitHub repository.
Dataset snapshot
Metric
Value
Polygon rows across regional extracts
1,259,424
Unique polygon identities (osm_type, osm_id)
1,188,854
Polygons with successful non-empty text (unique OSM… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-wikidata-and-wikipedia.osm-polygon-description-tag
OSM Polygon Description Tag
OpenStreetMap polygons with a successfully extracted trimmed non-empty
description or
description:<suffix> tag, published as one GeoParquet file per regional PBF
extract. Every row retains the complete original tag map, full Polygon or
MultiPolygon geometry, WGS84 geodesic area, bounding box, and OSM provenance.
Source repository: github.com/NoeFlandre/osm-polygon-description-tag.
Explore the pipeline metrics in the Trackio dashboard.
Read the… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-description-tag.osm-polygon-website-tag
OSM Polygon Website Dataset
OpenStreetMap polygons that carry a website or contact:website tag, with the full main-page text of each site. Every number below is recomputed from the published Parquet files.
At a glance
Polygons
1,726,474
With extracted text
1,192,980
Words of text
407,685,655
Languages
397
Regional sources
386 / 386
Duplicate objects removed
104,927
Candidates rejected
868,905,743
Status
Done
Website… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-website-tag.osm-polygon-wikidata-and-wikipedia-landuse
osm-polygon-wikidata-and-wikipedia-landuse
A land-use / land-cover relevance label for every sentence of NoeFlandre/osm-polygon-wikidata-and-wikipedia (revision d6fc058). The input is mirrored here unchanged; labels and model outputs are separate tables that join back to it.
In progress: 124 of 761 input files fully labelled, 637 more partially, 74,791,929 rows, 125,762 unique texts have their full model outputs published so far (outputs ship with the first complete file that… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-wikidata-and-wikipedia-landuse.osm-polygon-description-tag-worldcover
osm-polygon-description-tag-worldcover
A supervised text to land-cover dataset. Each example pairs OpenStreetMap description and localized-description tag text
with the ESA WorldCover class that covers at
least 80% of the OpenStreetMap polygon the text describes.
76,601 examples, 74,759 distinct polygons,
76,601 distinct documents.
from datasets import load_dataset
ds = load_dataset("NoeFlandre/osm-polygon-description-tag-worldcover")
print(ds["train"][0]["text"][:200]… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-description-tag-worldcover.osm-polygon-website-tag-landuse
osm-polygon-website-tag-landuse
A land-use / land-cover relevance label for every sentence of NoeFlandre/osm-polygon-website-tag (revision 6503db8). The input is mirrored here unchanged; labels and model outputs are separate tables that join back to it.
In progress: 4 of 386 input files fully labelled, 380 more partially, 45,860,852 rows, generations are published with each completed input file.
decision
Rows
Share
Meaning
yes
2,206,771
4.8%
relevant to land use /… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-website-tag-landuse.osm-polygon-description-tag-landuse
osm-polygon-description-tag-landuse
A land-use / land-cover relevance label for every sentence of NoeFlandre/osm-polygon-description-tag (revision b4706eb). The input is mirrored here unchanged; labels and model outputs are separate tables that join back to it.
Complete: 386 of 386 input files labelled, 1,057,002 rows, 461,463 unique texts sent to the model.
decision
Rows
Share
Meaning
yes
725,371
68.6%
relevant to land use / land cover
no
241,475
22.8%
not relevant… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-description-tag-landuse.osm-polygon-description-tag-eunis
Description
This dataset preserves the source rows and adds four nullable EUNIS fields to each polygon-bearing Parquet shard.
The map uses a representative point for each polygon and 2-degree geographic bins to keep the static artifact small. Colors identify EUNIS codes; the complete distribution is listed below. Unlabeled polygons are shown in gray.
Label distribution
EUNIS code
Label
Polygons
Share
Q11
Raised bog
50,347
5.55%
Q41
Alkaline… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-description-tag-eunis.osm-polygon-website-tag-eunis
Website
This dataset preserves the source rows and adds four nullable EUNIS fields to each polygon-bearing Parquet shard.
The map uses a representative point for each polygon and 2-degree geographic bins to keep the static artifact small. Colors identify EUNIS codes; the complete distribution is listed below. Unlabeled polygons are shown in gray.
Label distribution
EUNIS code
Label
Polygons
Share
Q11
Raised bog
89,423
5.18%
Q41
Alkaline, calcareous… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-website-tag-eunis.fineweb-polygons
FineWeb Polygons
GitHub repository · Hugging Face dataset
The repository currently preserves one complete research line as Direction 1:
FineWeb polygon retrieval.
It contains the V1–V10 experiment history and is frozen as a baseline for a
separate future direction.
The public dataset catalog maps every immutable V1–V10 file to its country split, standalone version README, and reproducibility manifest. The readable GitHub catalog and HF metadata README link back to both projects.… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/fineweb-polygons.fbis-73m-polygons
FBIS-73M field polygons
Field polygons from MykolaL/FBIS-73M (Lavreniuk et al., Delineate Anything v2, arXiv:2607.19069, MIT), converted to fiboa GeoParquet in EPSG:4326. FBIS-73M ships 1.48M satellite chips with YOLO instance-segmentation labels normalised to the chip frame. Here each label is mapped to the chip's native CRS with the GeoTIFF affine of the matching image, area and perimeter are measured there, and the polygon is reprojected to EPSG:4326. The conversion code is… See the full description on the dataset page: https://huggingface.co/datasets/fieldsoftheworld/fbis-73m-polygons.polygonal_marking_plant_objectsosm-polygon-image-tag
OSM Polygon Image Tag
This dataset connects OpenStreetMap polygons to image references found in their
tags. It contains closed ways and relations only.
The release has three files:
polygons: one current row per OSM type and ID, including its geometry and
all original tags.
images: one row for each unique provider image. It keeps the provider's
reference and, when available, a direct image URL.
polygon_images: the links between features and images. This is a separate
file. One… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-image-tag.refcocog_polygonsosm-polygon-wikidata-sentence-relevance
OSM Polygon – Wikidata Sentence Relevance
This dataset contains sentence-level, model-generated relevance annotations for
OSM polygons joined to Wikipedia and Wikivoyage sections. The labels are not
ground truth; validate them before use.
Public release map
Release
Contents
Card
Dashboard
V1 Afghanistan
54,462 two-question annotations, 161 polygons, 115 languages
v1-afghanistan/ · card
Afghanistan Trackio
V2 worldwide
200,000 H3-stratified binary… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-wikidata-sentence-relevance.osm-polygon-image-tag-trackio-datamath_polygon_colormath_geometry_polygon_7B_test_inmath_geometry_polygon_rotation_7B_trainmath_geometry_polygon_color_level_1Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.math_geometry_polygon_7B_trainomega-combined-split-geometry_polygon_chordsmath_geometry_polygon_7B_test_outmath_geometry_polygon_rotation_7B_test_outmath_geometry_polygon_rotation_7B_test_inmath_geometry_polygon_chords_level_1omega-combined-split-geometry_polygon_rotation