KlinzingSleepDS005555#

class torch_brain.datasets.KlinzingSleepDS005555(root, split_type, recording_ids=None, transform=None, **kwargs)[source]#

Klinzing Sleep iEEG Dataset (OpenNeuro DS005555).

Preprocessing

To download and prepare this dataset, run

brainsets prepare klinzing_sleep_ds005555

Each dataset instance uses a split strategy (split_type) and can optionally be restricted to specific recordings via recording_ids.

Parameters:

root (str) – Root directory containing processed Klinzing Sleep artifacts.
split_type (Literal['intrasession', 'intersubject', 'intersession']) – Dataset split strategy, e.g. train/valid/test as designated by the workflow.
recording_ids (Optional[list[str]]) – List of explicit recording IDs to load. If omitted, the dataset uses split-based recording selection.
transform (Optional[Callable]) – Optional transform to apply to each sample.
**kwargs – Additional keyword arguments forwarded to OpenNeuroDataset.

References

Klinzing, J. G., et al. (Year). “Sleep iEEG Dataset.” Repository: https://openneuro.org/datasets/ds005555