datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sph-ecg-arrhythmia
SPH 12-Lead ECG Arrhythmia Dataset (PhysioNet Mirror Card)
⚠️ License: This dataset is subject to the
PhysioNet Restricted Health Data License.
You must sign the Data Use Agreement on PhysioNet before use.
Source
Shaoxing People's Hospital (SPH) 12-Lead ECG DatasetPhysioNet: https://physionet.org/content/ecg-arrhythmia/1.0.0/
Stats
Property
Value
Records
45,152 patients
Format
WFDB (.mat + .hea)
Leads
12 (I, II, III, aVR, aVL, aVF, V1–V6)… See the full description on the dataset page: https://huggingface.co/datasets/adzetto/sph-ecg-arrhythmia.ecg-arrhythmia-data
ECG Arrhythmia Dataset — MIT-BIH Processed
Preprocessed beat segments derived from the MIT-BIH Arrhythmia Database (PhysioNet).
Contents
File
Description
X.npy
Beat segments — shape (N, 180), float32
y.npy
Encoded labels — integers 0-4
y_raw.npy
Raw string labels — N, L, R, V, A
Classes
Label
Class
Description
0
N
Normal sinus rhythm
1
L
Left bundle branch block
2
R
Right bundle branch block
3
V
Premature ventricular… See the full description on the dataset page: https://huggingface.co/datasets/dheerajthuvara/ecg-arrhythmia-data.clinical-5node-qt-elec-lag-polypharm-arrhythmia-casc-v0.1
What this repo does
This dataset tests whether a model can predict when QT interval stress, electrolyte depletion, governance delay, and polypharmacy coupling push a case past the failure horizon into an arrhythmia cascade.
Core quad
qteleclagpolypharm
Prediction target
label_horizon_breach
Row structure
One row represents a short case vignette with numeric signals for QT stress, electrolyte buffer, response lag, and polypharmacy coupling, paired… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-qt-elec-lag-polypharm-arrhythmia-casc-v0.1.ECG_Arrhythmia_Classification_Datasetheart-arrhythmias-symptomsarrhythmiaclinical-quad-ddi-qt-interval-electrolyte-imbalance-polypharmacy-arrhythmia-risk-v0.1What this repo does
This dataset models QT prolongation cascade risk driven by drug–drug interaction and physiologic vulnerability. It predicts when the interaction between QT risk, electrolyte imbalance, polypharmacy burden, and exposure spikes produces a high probability of arrhythmia risk.
Core quad
qt_risk_index
electrolyte_imbalance_index
polypharmacy_burden_index
exposure_spike_index
Prediction target
label_arrhythmia_risk
Row structure
Each row represents a patient cardiac risk snapshot… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ddi-qt-interval-electrolyte-imbalance-polypharmacy-arrhythmia-risk-v0.1.