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salbird/ecg-qa-ptbxl-250-500

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Hugging Face2026-01-17 更新2026-03-29 收录
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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: 348194810 num_examples: 1620750 - name: fold1_test num_bytes: 134947215 num_examples: 694610 - name: fold2_train num_bytes: 348188575 num_examples: 1620750 - name: fold2_test num_bytes: 134953450 num_examples: 694610 - name: fold3_train num_bytes: 348209970 num_examples: 1620750 - name: fold3_test num_bytes: 134932055 num_examples: 694610 - name: fold4_train num_bytes: 348179980 num_examples: 1620750 - name: fold4_test num_bytes: 134962045 num_examples: 694610 - name: fold5_train num_bytes: 348157605 num_examples: 1620750 - name: fold5_test num_bytes: 134984420 num_examples: 694610 download_size: 99119532 dataset_size: 2415710125 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 [PTB-XL](https://physionet.org/content/ptb-xl/1.0.3/) 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-ptbxl-250-500` where 250 refers to the sampling frequency and 500 denotes 2 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).
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