datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
michiyomi-tokyo-streetscape
michiyomi — Tokyo streetscape verbalization open data
English
Overview
michiyomi pairs coordinates with structured Japanese descriptions of physical streetscapes visible in public Mapillary imagery. A vision-language model (VLM) verbalized only what is visible in each image: no map, address, place name, facility name, statistics, or other external knowledge was injected. Release 2026-09-13-r1 contains 1,914,490 scenes covering all of Tokyo: the 23… See the full description on the dataset page: https://huggingface.co/datasets/finalvent/michiyomi-tokyo-streetscape.streetview
Street-Level Imagery Dataset
Metadata for street-level imagery across Eastern Europe and Northern Asia. Each record includes image URLs, coordinates, camera orientation, timestamps, and links to similar images captured at the same location over time.
Summary
Statistic
Value
Total Records
934,191
Unique Images
905,940
Time Span
2016–2025
File Format
Parquet
Geographic Coverage
Boundary
Value
Minimum Longitude
20.49° E
Maximum… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/streetview.au_street_perceptionJane_Street_Competitionpopular-street-ac3873
popular-street-ac3873
Synthetic products test data: 40 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/naoki72/popular-street-ac3873.false-street-6418b6
false-street-6418b6
Synthetic sensors test data: 46 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/kestrelWing/false-street-6418b6.visibility-benchmarks
StreetInsider Visibility Engine 📡🗞️
StreetInsider Visibility Engine is a lightweight content visibility and publication workflow tool designed to help businesses, brands, and publishers organize, optimize, and monitor their media content for greater online discoverability. Built by GetOnStreetInsider.com.
Key Functions
Content Preparation — Press release and content preparation for publication readiness
Metadata Validation — Publication metadata validation… See the full description on the dataset page: https://huggingface.co/datasets/streetinsider/visibility-benchmarks.au_street_navigationNYC_on_street_curb_management
On-Street Curb Management Dataset and Processor
This dataset integrates multiple functional curb use layers — including loading zones, parking meters,
and truck routes — by snapping them to NYC's official curb geometry to produce a unified spatial representation of curb
usage across the city.
Base curb geometry
Loading zones
Truck routes
Parking meters
More information about how this dataset was generated can be found here.
pittsburgh_floods_street_levelThe dataset provides fine-grained spatiotemporal information on urban floods occurring inside the city of Pittsburgh, PA, USA, from 2015 to 2024 by integrating publicly available data sources. The data sources include NOAA storm events database and Pittsburgh 311 flooding requests. Each row corresponds to one segment flood event, characterized by the street segment defined by a distinct combination of "u_node", "v_node", "length_m", and time. Each flood event was mapped to the street segments… See the full description on the dataset page: https://huggingface.co/datasets/yueq92/pittsburgh_floods_street_level.streetview-global-textabdullahkhan70_global-street-food-3-continent-geospatial-index
Global Street Food: 3 Continent Geospatial Index
3 Countries street food index: GPS, local prices, and hygiene ratings
Dataset Info
Source: Kaggle
Original Size: 0.11 MB
Kaggle Downloads: 26
Files: 3
Files
mexico_street_food_vendor.csv
pakistan_street_food_vendor.csv
thailand_street_food_vendor.csv
Mirrored from Kaggle
street-scene-descriptions
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
street_scene_descriptions
This dataset contains over 10,000 street-level image samples accompanied by detailed textual scene descriptions and rich metadata including geolocation, time, weather, and infrastructure details. Each entry features a natural language caption describing urban and residential environments captured from vehicle perspectives under varying lighting and… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/street-scene-descriptions.Jane_Street_Competition12_jun_hn_street_alley_clasnyc_floods_street_levelThe dataset provides fine-grained spatiotemporal information on urban floods occurring inside New York City, USA, from 2020 to 2024 by integrating publicly available data sources. The data sources include NOAA storm events database, NYC 311 flood-related requests, FloodNet sensor data, and MyCoast NY flood watch records.
Each row corresponds to one spatiotemporal segment flood event, characterized by the street segment defined by a distinct combination of "u_node", "v_node", "length_m", and… See the full description on the dataset page: https://huggingface.co/datasets/yueq92/nyc_floods_street_level.12k_street_alley_clas_training_data_16_features_2024-08-15dist_to_main_street_2nd12k_street_alley_clas_training_data_14_features12k_street_alley_clas_training_data_16_features12k_street_alley_clas_training_data_16_features_2024-08-082m7_data_full_info_with_12k_labels_for_street_alley_clasdist_to_main_street_3rdgerman_streets