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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01harshitcodes1544 /thermowatch-osm-datatabular100K<n<1M0 likes54 downloads24d agoHugging Face02lebfla11 /osm-europe-1k OSM-Europe-1k A 1,000-image street-level geolocation benchmark for Europe, sampled from the OpenStreetView-5M (OSV-5M) test split. Intended as a contamination-free, openly-licensed reference set for evaluating image→GPS models. Companion benchmark to a master's thesis at FH JOANNEUM (Florian Leber, 2026). What's in this repo: The 1,000 OSM/Mapillary image bytes are bundled directly under images/ (66 MB) — re-distribution is allowed by the upstream CC-BY-SA 4.0 license, with… See the full description on the dataset page: https://huggingface.co/datasets/lebfla11/osm-europe-1k.imageimage-classification1K<n<10K1 likes53 downloads5mo agoHugging Face03data-sci-project /osm_point_of_interest Finland EV charging amenity POIs This CSV is a point-of-interest (POI) dataset for exploring amenities near potential EV charging sites in Finland. It was derived from an Overpass export of OSM nodes, ways, and relations. Each record represents one existing OSM element which is relevant to an ev charger placement. Data collection The Overpass query selected Finnish elements tagged amenity=cafe, fast_food, fuel, or restaurant; shop=mall, supermarket, or… See the full description on the dataset page: https://huggingface.co/datasets/data-sci-project/osm_point_of_interest.tabular10K<n<100K0 likes37 downloads8h agoHugging Face04CITTYJAMES /melbourne-cafes-restaurants-osm Melbourne Cafés & Restaurants (OpenStreetMap / Overpass) Area: Melbourne CBD + Fitzroy + Carlton + Collingwood + Richmond WestMethod: Two Overpass API queries (amenity=cafe, amenity=restaurant) over a Melbourne bounding box, merged and augmentedCollection date: 22 October 2025 (Australia/Perth)Canonical file: melbourne_cafes_restaurants_clean.csv (1,896 × 31)Licence: © OpenStreetMap contributors — ODbL 1.0 A curated dataset of 1,896 cafés and restaurants in Melbourne… See the full description on the dataset page: https://huggingface.co/datasets/CITTYJAMES/melbourne-cafes-restaurants-osm.tabulartext-classification1K<n<10K0 likes28 downloads3mo agoHugging Face05osmanfnalbant /StoryTellertext10M<n<100M0 likes8 downloads2y agoHugging Face06peng905 /sz_osmtabular1K<n<10K0 likes2 downloads4mo agoHugging Face

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