datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Muscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/YominE/Muscle_Fatigue_Cycling.cycling-cadence-speed-development
Cycling Cadence, Speed and Development – Reference Dataset
This dataset provides a reference table describing the relationship between
cycling cadence (RPM), gearing, and resulting speed and pace across multiple
common road bike setups.
The dataset includes derived metrics such as:
Gear development (meters per crank revolution)
Speed (km/h)
Pace (min/km and min/mile)
It is intended for educational use, data analysis, visualization, and sports
science examples.
Additional… See the full description on the dataset page: https://huggingface.co/datasets/kbaastrup/cycling-cadence-speed-development.Muscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/tpzjade999/Muscle_Fatigue_Cycling.ABX-CT-010_cycling_strategy_collapse-v0.1ABX-CT-010 Cycling Strategy Collapse
Purpose
Detect when antibiotic rotation stops controlling resistance.
Core pattern
stress_index high
cycle_exposure_index high
burden_gap stays high across different cycle drugs
mdr_marker rises and stays high
later clinical_failure_flag appears
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one cycle timepoint in a within series rotation history.
Required columns
row_id
series_id
timepoint_d
cycle_id
drug_in_cycle
stress_index… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-CT-010_cycling_strategy_collapse-v0.1.Muscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/Sams1357/Muscle_Fatigue_Cycling.