Dataset · Hugging Face

eduzrh/STER

Name: STER
Creator: eduzrh
License: cc-by-4.0
Keywords: task_categories:other, language:en, license:cc-by-4.0, size_categories:n<1K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, 3d-building-matching, geometric-entity-resolution, cross-lod

STER: Zero-shot 3D Geometric Entity Resolution Benchmark Multi-city, cross-LoD 3D building matching benchmark for the NS-D2S paper (AAAI 2026). Strictly follows the 3dSAGER (SIGMOD 2026) methodology and data format. Dataset Overview Dataset City Country Buildings LOD Source Urban Typology amsterdam Amsterdam NL 123,259 3DBAG LOD1.2/1.3/2.2 Historic canal city rotterdam Rotterdam NL 152,694 3DBAG LOD1.2/1.3/2.2 Post-war modern hague Den Haag NL 181… See the full description on the dataset page: https://huggingface.co/datasets/eduzrh/STER.

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Author / organization	eduzrh
License (as declared)	cc-by-4.0
Downloads	2.1K (as reported by Hugging Face)
Likes	0
Created	8 July 2026
Last updated at source	15 September 2026

3d-building-matchinggeometric-entity-resolutioncross-lodzero-shotfew-shotcityjsonplateau3dbag

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