introvoyz041/ecg-qa-mimic-iv-ecg-250-2500
收藏Hugging Face2026-02-11 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/introvoyz041/ecg-qa-mimic-iv-ecg-250-2500
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资源简介：
---
dataset_info:
features:
- name: ecg_path
dtype: string
- name: text
dtype: string
- name: name
dtype: string
splits:
- name: fold1_train
num_bytes: 192929945
num_examples: 822226
- name: fold1_test
num_bytes: 82726591
num_examples: 352382
- name: fold2_train
num_bytes: 192993381
num_examples: 822226
- name: fold2_test
num_bytes: 82663155
num_examples: 352382
- name: fold3_train
num_bytes: 192967258
num_examples: 822226
- name: fold3_test
num_bytes: 82689278
num_examples: 352382
- name: fold4_train
num_bytes: 192963667
num_examples: 822226
- name: fold4_test
num_bytes: 82692869
num_examples: 352382
- name: fold5_train
num_bytes: 192972882
num_examples: 822226
- name: fold5_test
num_bytes: 82683654
num_examples: 352382
download_size: 340264551
dataset_size: 1378282680
configs:
- config_name: default
data_files:
- split: fold1_train
path: data/fold1_train-*
- split: fold1_test
path: data/fold1_test-*
- split: fold2_train
path: data/fold2_train-*
- split: fold2_test
path: data/fold2_test-*
- split: fold3_train
path: data/fold3_train-*
- split: fold3_test
path: data/fold3_test-*
- split: fold4_train
path: data/fold4_train-*
- split: fold4_test
path: data/fold4_test-*
- split: fold5_train
path: data/fold5_train-*
- split: fold5_test
path: data/fold5_test-*
---
# Dataset Details
This is a randomly split five fold dataset of the [MIMIC-IV-ECG](https://physionet.org/content/mimic-iv-ecg/1.0/) varaint of [ECG-QA](https://arxiv.org/abs/2306.15681) stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is `ecg-qa-mimic-iv-ecg-250-2500` where 250 refers to the sampling frequency and 2500 denotes 10 seconds.
The code to do the splitting is [here](https://github.com/willxxy/ECG-Bench/blob/main/ecg_bench/create_and_upload_hf.py).
The dataset contents are under the same license as the original [ECG-QA's license](https://github.com/Jwoo5/ecg-qa?tab=CC-BY-4.0-1-ov-file).
Any questions or issues, please do not hesitate to reach out to the maintainer of [ECG-Bench](https://github.com/willxxy).
提供机构：
introvoyz041
