torchsig.datasets.dataset_utils.dataset_full_path

torchsig.datasets.dataset_utils.dataset_full_path(dataset_type: str, impairment_level: int, train: bool | None = None) → str

Generates the full path for a dataset based on its type, impairment level, and whether it is for training.

Parameters:

• dataset_type (str) – Type of dataset (e.g., ‘narrowband’, ‘wideband’).

• impairment_level (int) – The impairment level for the dataset (0 = clean, 1 = level 1, 2 = impaired).

• train (bool, optional) – Whether the dataset is for training (True) or validation (False). Defaults to None.

Returns:

The full path to the dataset, e.g., ‘torchsig_narrowband_clean/train’.

Return type:

str

Example

full_path = dataset_full_path(‘narrowband’, 0, True) print(full_path) # Output: ‘torchsig_narrowband_clean/train’