def METHOD_NAME(batch_size=12) -> Dict[str, Union[List, torch.Tensor, str]]:
    # sometimes metadata is included with a batch that isn't taken by the model.
    image = torch.randn(size=(batch_size, 3, 32, 32))
    target = torch.randint(size=(batch_size,), high=10)
    meta = ['hi im a tag' for _ in range(batch_size)]
    index = [[1, 2, 3] for _ in range(batch_size)]
    return {'image': image, 'target': target, 'meta': meta, 'index': index}