NoeFlandre/osm-wikidata-worldcover

osm-wikidata-worldcover A supervised text to land-cover dataset. Each example pairs a Wikipedia or Wikivoyage article with the ESA WorldCover class that covers at least 80% of the OpenStreetMap polygon the article describes. 1,014,354 examples, 388,372 distinct polygons, 1,007,904 distinct documents. from datasets import load_dataset ds = load_dataset("NoeFlandre/osm-wikidata-worldcover") print(ds["train"][0]["text"][:200], ds["train"][0]["worldcover_label"])… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-wikidata-worldcover.

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