datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
netryx-new-york-city-13km
Nyc-Core-Usethis 13km
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
Center: 40.713200, -74.002500
Radius: 13.0 km
Panoramas: 663,084
Index entries: 2,652,336
Descriptor model: MegaLoc
Descriptor dim: 1024 (PCA from 8448)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("nyc-core-usethis-13km", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-city-13km.historical-danish-handwriting
Dataset Description
Dataset Summary
The Historical Danish handwriting dataset is a Danish-language dataset containing more than 11.000 pages of transcribed and proofread handwritten text.
The dataset currently consists of the published minutes from a number of City and Parish Council meetings, all dated between 1841 and 1939.
Languages
All the text is in Danish. The BCP-47 code for Danish is da.
Dataset Structure
Data Instances
Each data… See the full description on the dataset page: https://huggingface.co/datasets/aarhus-city-archives/historical-danish-handwriting.modern-city-unreal-synthetic
Modern city junction: a synthetic detection capture rendered in Unreal Engine
300 rendered frames from a single Unreal Engine environment, carrying
6,807 labelled object instances. Every box and every mask here is read
out of the engine's own per-instance ID buffer at render time. No model produced these labels
and no one drew them by hand, so a label is wrong only where the scene description behind it
is wrong.
The capture
Engine… See the full description on the dataset page: https://huggingface.co/datasets/NameFrame/modern-city-unreal-synthetic.floorplans-cityscapes
Dataset Summary
This is a curated collection of floorplan images sourced from across the internet. It is intended for research in architectural AI, layout generation, and urban scene understanding.
Data format: Image files with associated integer labels.
Sources: Publicly available images from various web sources (This dataset is one unified collections).
Purpose: Educational and research use.
Dataset Structure
The dataset follows the standard Hugging Face Image… See the full description on the dataset page: https://huggingface.co/datasets/wheres-my-python/floorplans-cityscapes.city_temperature_anomaliesCityCube-Benchdead-city-unreal-synthetic
Dead city: a synthetic detection capture rendered in Unreal Engine
300 rendered frames from a single Unreal Engine environment, carrying
10,693 labelled object instances. Every box and every mask here is read
out of the engine's own per-instance ID buffer at render time. No model produced these labels
and no one drew them by hand, so a label is wrong only where the scene description behind it
is wrong.
The environment was built by George Shachnev, who sent us the map and agreed… See the full description on the dataset page: https://huggingface.co/datasets/NameFrame/dead-city-unreal-synthetic.Procedural-City-Multimodal-Dataset-V2
Synthetic Urban Multimodal Dataset - Volume 2 (v0.2)
This is the second major release of the Synthetic Urban Multimodal Dataset, part of an ongoing observation project on AI-generated data ecosystems.
Volume 2 introduces a completely new collection of urban environments to the series, providing 40,000 high-precision files (8,000 completely new unique scenes × 5 modalities) generated entirely via the "Constructive Furnace" (our custom Blender-Python pipeline).
What's New… See the full description on the dataset page: https://huggingface.co/datasets/jp-cypress/Procedural-City-Multimodal-Dataset-V2.cityscapesThis dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
Citation
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros},
title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
Networks},
journal = {CoRR},
volume = {abs/1703.10593},
year… See the full description on the dataset page: https://huggingface.co/datasets/huggan/cityscapes.china-city-render
VisNavMap City Offline Render Snapshots
This dataset contains one offline-render cache per city, derived from the
matching city-level OpenStreetMap PBF from the Hugging Face dataset
86Cao/china-city-osm-pbf.
It lets VisNavMap render
global and local map observations without parsing or querying the source PBF
during rollout.
Data provenance
The data-generation chain is:
Hugging Face: 86Cao/china-city-osm-pbf
│
│ download city-level… See the full description on the dataset page: https://huggingface.co/datasets/86Cao/china-city-render.KnowVis
KnowVis: Knowledge-Centric Visual Summarization for Video Lectures
Overview
We propose the KnowVis Framework, which transforms linear video lectures into pedagogically grounded visual narratives.
This dataset comprises 125 video lectures sourced from OER Commons and YouTube, spanning 10 distinct academic disciplines. From these multimodal inputs, we utilized KnowVis framwork to generate 1,079 pedagogically structured visual summaries. Each visual summary is paired… See the full description on the dataset page: https://huggingface.co/datasets/yixu-cityu/KnowVis.Cityscapes_Style_2048_1024Procedural-City-Multimodal-Dataset
Synthetic Urban Multimodal Dataset (v0.1)
This dataset contains 8,000 high-quality synthetic images of procedurally generated city models, designed specifically for training and evaluating AI models such as ControlNet and LoRA.
Dataset Description
All assets were generated using a custom Blender-Python automated pipeline. The dataset provides 100 unique urban architectures, each rendered from 8 directions with 10 different artistic styles.
Total Samples: 8,000 (Total 40… See the full description on the dataset page: https://huggingface.co/datasets/jp-cypress/Procedural-City-Multimodal-Dataset.synthia-rand-cityscapes-16class-parquet_fixcityscapes_wds_indicesdiffusion_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.swiss-german-city-sentences_trainMassive-STEPS-Kuwait-City
Massive-STEPS-Kuwait City
Dataset Summary
Massive-STEPSis a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and includes check-in data from 12 cities across 10 countries. The dataset is designed to facilitate research in various domains, including trajectory prediction, POI recommendation, and urban modeling. Massive-STEPS emphasizes… See the full description on the dataset page: https://huggingface.co/datasets/CRUISEResearchGroup/Massive-STEPS-Kuwait-City.swiss-german-city-sentences_valcityshiftbench-scale122
CityShiftBench Scale-122
CityShiftBench is an anonymous NeurIPS 2026 Evaluations and Datasets review
artifact for low-shot cross-city urban regression under strict city isolation.
The active Scale-122 surface contains 118 OSM-integrity-passing cities and
8,359 tile records. The paper-core targets are OSM-derived Road
(target_road_segments) and Connectivity (target_intersection_nodes).
Contents
data/cityshiftbench_scale122_tile_targets.csv: tile-level target and… See the full description on the dataset page: https://huggingface.co/datasets/aiurban/cityshiftbench-scale122.urban-ai-governance-poster-charts
Urban AI Governance — Poster Charts (v4 — CORRECTED)
Bridging the Divide Between AI Potential and Operational Realities in Urban Governance
All charts use TeX Gyre Pagella (Palatino Linotype equivalent) font, 300 DPI, Nature/Science journal aesthetic. Available as PNG + vector PDF. Zero text overlaps (verified programmatically).
⚠️ Corrections in v4 (from v3)
1. Chart 1 — HAI Regulation Data FIXED
Problem: v3 used the series (1, 9, 12, 18, 29, 54, 88, 148)… See the full description on the dataset page: https://huggingface.co/datasets/citysyntaxlab/urban-ai-governance-poster-charts.china-city-graphml
VisNavMap City GraphML Snapshots
This dataset contains the city-level navigation graph cache derived from the
city-level OpenStreetMap PBF files released in the Hugging Face dataset
86Cao/china-city-osm-pbf.
It is intended to make
VisNavMap training, rollout, and evaluation reproducible without rebuilding a
graph from a PBF at runtime.
Data provenance
The data-generation chain is:
Hugging Face: 86Cao/china-city-osm-pbf
│
│ download city-level… See the full description on the dataset page: https://huggingface.co/datasets/86Cao/china-city-graphml.swiss-german-city-sentences_v2
Swiss German City Sentences v2
Synthetic Swiss German speech dataset with city name sentences across multiple dialects.
city-directory-synthcity3dtbilisi-city-hall-titlesParallel news titles from https://tbilisi.gov.ge/
taipei-city-councilvizag-city-guide-cpt
Vizag City Guide — CPT Corpus
Continued pre-training (CPT) text corpus for Visakhapatnam (Vizag), India.
Plain .txt files, one document per line (or paragraph). Pairs with the
supervised dataset
shasank0001/vizag-city-guide-sft:
pre-train on this corpus first, then fine-tune on the SFT set.
Contents (~3.4 MB, ~850k tokens at ~4 chars/token)
File
Size
What it is
corpus.txt
228 KB
Concatenated Wikipedia + government base documents (45 docs)… See the full description on the dataset page: https://huggingface.co/datasets/shasank0001/vizag-city-guide-cpt.city-council-gpt3-silver-standard-summaries
Dataset Card for "city-council-gpt3-silver-standard-summaries"
More Information needed
vizag-city-guide-sft