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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ValueError
Message: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('csv', {}), NamedSplit('validation'): (None, {}), NamedSplit('test'): ('csv', {})}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1489, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1054, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 513, in infer_module_for_data_files
raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('csv', {}), NamedSplit('validation'): (None, {}), NamedSplit('test'): ('csv', {})}Need help to make the dataset viewer work? Open a discussion for direct support.
ECG Dataset
This repository contains an small version of the ECG dataset: https://huggingface.co/datasets/deepsynthbody/deepfake_ecg, split into training, validation, and test sets. The dataset is provided as CSV files and corresponding ECG data files in .asc format. The ECG data files are organized into separate folders for the train, validation, and test sets.
Folder Structure
.
├── train.csv
├── validate.csv
├── test.csv
├── train
│ ├── file_1.asc
│ ├── file_2.asc
│ └── ...
├── validation
│ ├── file_1.asc
│ ├── file_2.asc
│ └── ...
└── test
├── file_1.asc
├── file_2.asc
└── ...
train.csv: Contains 10,000 records with metadata and the corresponding ECG file names for the training set.validate.csv: Contains 2,500 records with metadata and the corresponding ECG file names for the validation set.test.csv: Contains 2,500 records with metadata and the corresponding ECG file names for the test set.train,validation,testfolders: Contain the corresponding ECG data files (.asc) for the records in the train.csv, validate.csv, and test.csv files, respectively.
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