willxxy/ecg-grounding-250-2500

---
dataset_info:
features:
- name: ecg_path
dtype: string
- name: text
dtype: string
- name: name
dtype: string
splits:
- name: fold1_train
num_bytes: 704649558
num_examples: 824158
- name: fold1_test
num_bytes: 301748778
num_examples: 353210
- name: fold2_train
num_bytes: 704021433
num_examples: 824158
- name: fold2_test
num_bytes: 302376903
num_examples: 353210
- name: fold3_train
num_bytes: 704855494
num_examples: 824158
- name: fold3_test
num_bytes: 301542842
num_examples: 353210
- name: fold4_train
num_bytes: 704450790
num_examples: 824158
- name: fold4_test
num_bytes: 301947546
num_examples: 353210
- name: fold5_train
num_bytes: 704406556
num_examples: 824158
- name: fold5_test
num_bytes: 301991780
num_examples: 353210
download_size: 1838021411
dataset_size: 5031991680
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 [ECG-Grouding dataset](https://huggingface.co/datasets/LANSG/ECG-Grounding) stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is `ecg-grounding-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).

Any questions or issues, please do not hesitate to reach out to the maintainer of [ECG-Bench](https://github.com/willxxy).