datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Seoul_bikedach_bike_graph
DACH Bike + Rail Routing Graph
A prebuilt, ready-to-route cycling + railway graph covering Germany, Austria, and Switzerland (DACH), stored as lat/lon-tiled GeoParquet. Built from OpenStreetMap by the Bike Route Optimizer for flat-preferring, surface-aware bike routing that can also hop on a train uphill.
Everything routing needs is baked in — node elevations and full 3D edge geometry — so an application downloads this once and routes offline, with no Overpass and no elevation… See the full description on the dataset page: https://huggingface.co/datasets/MichaelMedek/dach_bike_graph.bike-datasets
BIKE Datasets
This repo contains all the datasets used for BIKE visualization.
To download this dataset, first make sure you have git lfs installed. then, just run the following command:
git clone git@hf.co:datasets/medviz/bike-datasets
bike-helmet-dataset
Bike Helmet Detection Dataset
This repository contains multiple computer vision datasets for bike helmet detection.
1. Bike Helmet Detection (COCO Format)
Location: Root folders (train/, valid/, test/)
Total Images: 1376
Splits:
train/: 1185 images and _annotations.coco.json
valid/: 127 images and _annotations.coco.json
test/: 64 images and _annotations.coco.json
Format: COCO
2. Bikes Helmets Dataset (Pascal VOC Format)
Location: helmet_voc/… See the full description on the dataset page: https://huggingface.co/datasets/cute-face/bike-helmet-dataset.toronto-bikeshareSeoul_bike_databike-sharing-tabular
Bike Sharing Demand - Hourly (Poisson)
A ready-to-use copy of the UCI Bike Sharing Dataset (hourly granularity,
17,379 × 17), accompanied by baseline metrics from an 8-architecture tabular
modelling pipeline for direct comparison.
Originally collected and published by Fanaee-T & Gama (2014). Source:
UCI ML Repository id 275.
At a glance
Field
Value
Rows
17,379 hourly observations
Time range
Jan 2011 - Dec 2012
Columns
17 (16 features + 1 target)… See the full description on the dataset page: https://huggingface.co/datasets/t22000t/bike-sharing-tabular.bikesbike_sharingbike-helmet-dataset
Bike Helmet Detection Dataset
This repository contains multiple computer vision datasets for bike helmet detection.
1. Bike Helmet Detection (COCO Format)
Location: Root folders (train/, valid/, test/)
Total Images: 1376
Splits:
train/: 1185 images and _annotations.coco.json
valid/: 127 images and _annotations.coco.json
test/: 64 images and _annotations.coco.json
Format: COCO
2. Bikes Helmets Dataset (Pascal VOC Format)
Location: helmet_voc/… See the full description on the dataset page: https://huggingface.co/datasets/shravya11/bike-helmet-dataset.Seoul_bikeBikeBench_Leaderboard_Dataeuropean-bike-sharing-dataset
European Bike-Sharing Dataset
Large-scale (E-)bike-sharing data from European cities, including ~25 M trips, ~38 M station-status snapshots, ~13 k stations, 267 cities, bike types, and operational areas.
Timestamps are UTC Unix seconds; coordinates are WGS-84.
For the full dataset description, schemas, and ETL code, see the original repository. Note that the city_areas
dataset is not included here due to technical difficulties - please refer to the the original repository for… See the full description on the dataset page: https://huggingface.co/datasets/PellelNitram/european-bike-sharing-dataset.BikeBenchlyon-velov-bike-sharing-dataset
Lyon velo'v Bike Sharing Dataset
Dataset Description
This dataset provides an aggregated view of the Vélo'v bike-sharing station activities in the Lyon Metropolitan area (France) for 2023, 2024, and 2025. Unlike the raw real-time data, this dataset has been preprocessed to offer a 30-minute temporal granularity, including calculated flows (bike arrivals and departures).
Note on Temporal Coverage: The current release ensures a continuous and comprehensive record for all of… See the full description on the dataset page: https://huggingface.co/datasets/lmoncla/lyon-velov-bike-sharing-dataset.BIKEDRash-Driving-Detection-on-Bikes-for-ML
Dataset Card for Rash Driving Detection on Bikes Using Mobile and Sensor Data
This dataset is designed to aid the detection of rash driving behavior on bikes using data collected from mobile and sensor-based systems. It includes sensor readings such as accelerometer values, orientation (azimuth, pitch, roll), and speed, with labels indicating whether the riding behavior is classified as rash or not.
Dataset Details
Dataset Description
This dataset consists of… See the full description on the dataset page: https://huggingface.co/datasets/ShieldX/Rash-Driving-Detection-on-Bikes-for-ML.Seoul_bikeimnet1k_mountain_bike_all-terrain_bike_off-roaderseoul-bike-rent-month
Seoul Bike Ttareungi Monthly Usage (서울 따릉이 월별 이용정보)
Monthly usage statistics for Seoul's public bike-sharing system "Ttareungi" (따릉이),
aggregated by station, subscription type, and age group.
Important: Text values (rent_type, station_name, age_group) are in Korean.
Column names are in English for global accessibility.
Dataset Summary
Records
~119,000
Features
11
Period
Multiple months (YYYYMM format)
Source
Seoul Open Data Plaza
Features… See the full description on the dataset page: https://huggingface.co/datasets/kpubdata/seoul-bike-rent-month.Seoul_bike_testclip-bicycle-e-bikebike-drivetrain-groupset-compatibility
Bike drivetrain and groupset compatibility
Canonical, always-current version: https://referencesource.org/bike-drivetrain-groupset-compatibility/
Machine-readable: https://referencesource.org/bike-drivetrain-groupset-compatibility/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: 85
Which bicycle drivetrain components work… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/bike-drivetrain-groupset-compatibility.Seoul_bikeshare_bike_trainbikeshare_2025_allSeoul_bikebikeped
bikeped Conformance Scenarios
24 scripted pedestrian–cyclist intersection scenarios used to
evaluate the collision-warning system in
bikeped. Each scenario defines a
handful of agents (pedestrians, cyclists, e-bikes) moving on the ground
plane through a hand-authored sequence of waypoints; the testbench
interpolates these at 30 fps and assigns per-frame ground-truth danger
labels from a conservative kinematic safety model.
Companion to the technical report A Real-Time… See the full description on the dataset page: https://huggingface.co/datasets/mehmetkeremturkcan/bikeped.mini_car_bikes_detectioncrawl-bikesrepublic
TLDR
website: bikesrepublic
num. of webpages scraped: 6,969
link to dataset: https://huggingface.co/datasets/wanadzhar913/crawl-bikesrepublic
last date of scraping: 10th September 2023
status: complete
pull request: https://github.com/huseinzol05/malaysian-dataset/pull/291
contributed to: https://github.com/huseinzol05/malaysian-dataset