datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fetch_huggingface_google_map_terminal_github_7958-street-mobility-testrun001
fetch_huggingface_google_map_terminal_github_7958-street-mobility-testrun001
Street network mobility and accessibility attributes for downtown Portland.
License
This dataset is licensed under the Apache License 2.0.
Commercial use, modification, and distribution are permitted.
Contents
data.csv - sample data.
popular-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.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.abdullahkhan70_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
nyc_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.philippine-streetfoods-pricesgerman_streets