datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
China-Building-Footprints-CMAB-Mirror
Origin Data
@misc{Zhang2025CMAB,
author = {Zhang, Yecheng and Zhao, Huimin and Long, Ying},
title = {{CMAB-The World's First National-Scale Multi-Attribute Building Dataset}},
year = {2025},
month = apr,
publisher = {figshare},
doi = {10.6084/m9.figshare.27992417},
url = {https://doi.org/10.6084/m9.figshare.27992417},
howpublished = {dataset}
}
Paper
@article{Zhang2025SciData,
author = {Zhang, Y. and… See the full description on the dataset page: https://huggingface.co/datasets/DannHiroaki/China-Building-Footprints-CMAB-Mirror.China-Building-Footprints-CMAB-Mirror
Origin Data
@misc{Zhang2025CMAB,
author = {Zhang, Yecheng and Zhao, Huimin and Long, Ying},
title = {{CMAB-The World's First National-Scale Multi-Attribute Building Dataset}},
year = {2025},
month = apr,
publisher = {figshare},
doi = {10.6084/m9.figshare.27992417},
url = {https://doi.org/10.6084/m9.figshare.27992417},
howpublished = {dataset}
}
Paper
@article{Zhang2025SciData,
author = {Zhang, Y. and… See the full description on the dataset page: https://huggingface.co/datasets/liuhangbiao/China-Building-Footprints-CMAB-Mirror.satellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/satellite-building-segmentation.vhr-building-segmentation
HOT Building Segmentation Dataset
Dataset Description
A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery.
Dataset Summary
This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/vhr-building-segmentation.hot-building-segmentation
HOT Building Segmentation Dataset
Dataset Description
A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery.
Dataset Summary
This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully validated through… See the full description on the dataset page: https://huggingface.co/datasets/kshitijrajsharma/hot-building-segmentation.marburg-university-buildings
Marburg University Buildings
The Marburg University Buildings dataset contains high-resolution photographs of 29 university buildings in Marburg, Germany. Each image is labeled by the name of the building and intended for use in multi-class image classification tasks.
Dataset Summary
Total classes: 29
Image format: JPG
Label format: Folder name as string
Collection: Manually photographed under consistent daylight and angle conditions (SAMSUNG galaxy A54)
No compression… See the full description on the dataset page: https://huggingface.co/datasets/soroushdft/marburg-university-buildings.omega-globalml-buildingsBuilding-Urban-Climate
Urban Climate Dataset
Dataset Description
This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks.
Files and Structure:
train/: Contains training images and masks.
train/Image/: Original satellite images used for training.
train/Mask/: Binary masks where buildings are labeled.
validation/: Contains validation images and… See the full description on the dataset page: https://huggingface.co/datasets/nave1616/Building-Urban-Climate.us-building-permits
PermitBase — U.S. Residential Building Permits 1980–2024
The most comprehensive historical residential building permit dataset available at the place level.
Place-level | Annual | 1980–2024 | SF/MF differentiated | 51 jurisdictions | 683,986 records
Dataset Description
This dataset contains annual residential building permit data for permit-issuing places
(cities, towns, and unincorporated county areas) across the United States, covering
1980 through 2024. It is derived… See the full description on the dataset page: https://huggingface.co/datasets/thanna94/us-building-permits.nfu_buildingconfigs:
config_name: default
data_files:
split: train
path: data/train-*
Building_Energy_Consumption_Sensor_Datadiffusion_skyscrapers_city_building
A Dataset of skyscrapers in the style of a city building game
Terms and Conditions
The dataset is usable for training and experimenting with new models, but since the images are generated using OpenAI's API, as stated by them, if your project involves sensitive or controversial content, you should review their policies and terms to ensure compliance
https://openai.com/it-IT/policies/usage-policies
https://openai.com/it-IT/policies/terms-of-use
If you copy and distribute… See the full description on the dataset page: https://huggingface.co/datasets/Loulblemo/diffusion_skyscrapers_city_building.satellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/merve/satellite-building-segmentation.irish-building-energy-ratings
Irish Building Energy Ratings (BER)
Every BER cert ever issued in Ireland. About 1.4 million homes, 211 fields per cert: A-G rating, kWh/m²/yr, what fuel they burn, wall U-values, floor area, the lot.
Why this dataset exists
SEAI hides this data behind an ASP.NET form button on their BER Research Tool. Click "Download All Data" and you get a 250MB zipped tab-separated file. No API, no static URL you can curl. Annoying. So I scraped it and flattened it into a clean… See the full description on the dataset page: https://huggingface.co/datasets/FionnHughes/irish-building-energy-ratings.In-stock-Building-Block-Database
Molport In-Stock Building Blocks Database
The Molport In-Stock Building Blocks Database contains SMILES strings and Molport IDs for over 1.1 million building blocks that are currently available for purchase. These compounds represent a diverse collection of reagents and intermediates designed to support medicinal chemistry, drug discovery, and custom synthesis workflows.
Contents
SMILES – The molecular structure in SMILES notation.
SMILES_CANONICAL –… See the full description on the dataset page: https://huggingface.co/datasets/molport/In-stock-Building-Block-Database.sg-building-directory-81795545
Singapore Building Directory
A directory of commercial buildings in Singapore used as the upstream source for the
NovaServe service-site registry. Each entry identifies a building, its address, planning
district and the year it was built.
Columns
building_id: unique building identifier
building_name: building name
address: street address in Singapore
district: planning region
year_built: year the building was completed
Usage
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/sg-building-directory-81795545.vhr-buildings-tidied-v2-lower-rankcomplete-buildings-extraction-coco-hfud-campus-parking-occupancy-synthetic
UD Parking Occupancy Classifier (Tiny Demo)
Very small scikit-learn RandomForest classifier trained on the synthetic dataset:
BuildingTHEITGUY/ud-campus-parking-occupancy-synthetic
This is a teaching / portfolio model, not a production campus system.
What it predicts
Class label: open | busy | full
Features
capacity, occupied, free, occupancy_ratio, hour_local, weekday
Files
parking_occupancy_rf.joblib — model artifact
metrics.json —… See the full description on the dataset page: https://huggingface.co/datasets/BuildingTHEITGUY/ud-campus-parking-occupancy-synthetic.DS_Building_SecurityManual_V2pc-building-egocentricbuildings_and_incomes_by_postal_codebuilding-energy-benchmarking-requirements
Building Energy Benchmarking and Performance Standard Requirements by Jurisdiction
Canonical, always-current version: https://referencesource.org/building-energy-benchmarking-requirements/
Machine-readable: https://referencesource.org/building-energy-benchmarking-requirements/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-15
Stale after: 2027-02-11 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records:… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/building-energy-benchmarking-requirements.building-envelope-thermal-transmission-benchmark-2026building_defect_vqa
Building Defect VQA Dataset
Dataset Description
This dataset is a Visual Question Answering (VQA) version of the original BD3 (Building Defect Dataset).
It is designed for training and evaluating Vision–Language Models (VLMs) on building defect recognition tasks.
Each image is paired with a fixed question and a defect category as the answer.
Dataset Structure
Each sample contains:
image: RGB image of a building surface
question:
"What type of building… See the full description on the dataset page: https://huggingface.co/datasets/chandrabhuma/building_defect_vqa.swiss-building-law-rag-bench
Swiss Cantonal Building Law RAG Benchmark
Evaluation benchmark for Retrieval-Augmented Generation (RAG) systems on Swiss cantonal
building law documents. Created as part of a bachelor thesis on systematic RAG pipeline
optimisation for German legal text.
Dataset contents
File
Entries
Language
Description
data/german/golden_dataset.jsonl
318
DE
German Q&A pairs grounded to article-level passages
data/multilingual/golden_dataset.jsonl
270
DE/FR/IT… See the full description on the dataset page: https://huggingface.co/datasets/MarcoFurrer/swiss-building-law-rag-bench.train_buildingsbuilding_106_kitchen_3secsMirror of https://www.csc.kth.se/~jastork/pages/datasets.html
all sounds split in 3 seconds chunks
meant for usage as background noise or environmental event detection
building-permit-validity-and-renewal
Building permit expiry, progress and renewal rules by jurisdiction
Canonical, always-current version: https://referencesource.org/building-permit-validity-and-renewal/
Machine-readable: https://referencesource.org/building-permit-validity-and-renewal/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-11
Stale after: 2027-08-11 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 7
How long a building… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/building-permit-validity-and-renewal.africa-synth-realestate-building-permits-nigeria
Africa Synth Realestate Building Permits Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-realestate-building-permits-nigeria.