datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
physionet-ecg-arrhythmia-1.0.0
physionet-ecg-arrhythmia-1.0.0
Part of the PhysioNet 12-Lead Electrocardiogram Database for Arrhythmia Study collection.
A 12-lead electrocardiogram database for arrhythmia study, published on PhysioNet by Chapman University and Shaoxing People's Hospital.
Original Source & License
Official Source / Project: PhysioNet 12-Lead Electrocardiogram Database for Arrhythmia Study
License: Creative Commons Attribution 4.0 International (ODC-By / CC-BY) (cc-by-4.0)… See the full description on the dataset page: https://huggingface.co/datasets/huseyincavus/physionet-ecg-arrhythmia-1.0.0.mit-bih-arrhythmia-databaseHF clone of: https://www.physionet.org/content/mitdb/1.0.0/
ecg-arrhythmiamit_bih_arrhythmia_ecg_preprocessedsph-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.E1.S1-Synthetic-Sports-Cardiology-Arrhythmia
Dataset README
This README documents the structure of the four original source files, exactly as provided. No columns, values, or records have been altered — this is a structural reference only.
Important note: these four files represent two separate, non-overlapping patient cohorts (verified: zero shared Patient_ID values between the two groups):
Cohort A — Lipid/CVD cohort: static_features-2.csv + dynamic_features-2.csv
Cohort B — Sports Cardiology cohort:… See the full description on the dataset page: https://huggingface.co/datasets/AuricGrid-Laboratory/E1.S1-Synthetic-Sports-Cardiology-Arrhythmia.mit-bih-arrhythmia-csvclinical-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-ArrhythmiaCredits: ECG Arrhythmia Classification Dataset
ECG_Arrhythmia_Classification_Datasetheart-arrhythmias-symptomsPPG-Arrhythmia-DatasetThis dataset contains PPG, ABP, ECG lead II, and ECG aVR with annotations to Arrhythmia types, False/True alarm, Signal Quality
The training data is contained in the training.zip inside the zipfile. Because a publicly accessible dataset is very limited, we used the training data for train, validation, and test set.
arrhythmiaecg-arrhythmiaheart-arrhythmias-symptomsclinical-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.