FromTorchDataset#
- class stable_pretraining.data.FromTorchDataset(dataset, names, transform=None, add_sample_idx=True)[source]#
Bases:
DatasetWrapper that converts a positional-return PyTorch dataset into dict samples.
- Parameters:
dataset – PyTorch dataset to wrap.
names – List of names for each element returned by the dataset.
transform – Optional transform applied to the dict sample.
add_sample_idx – If
True, adds asample_idxfield to each sample.