syna.datasets.datasets module

Datasets — minimal dataset base class (MNIST behavior compatible with torchvision).

class syna.datasets.datasets.Dataset(train: bool = True, transform: Callable[[Any], Any] | None = None, target_transform: Callable[[Any], Any] | None = None)

Bases: object

Minimal base dataset.

Subclasses should override prepare() to populate self.data (and optionally self.label).

Args:

train (bool): Whether this is a training split. transform (callable, optional): Function applied to each data item. target_transform (callable, optional): Function applied to each label.

Attributes:

data: Sequence of data items (must support indexing and len()). label: Sequence of labels or None.

prepare()

Populate self.data (and optionally self.label). Must be implemented by subclasses.