kubeflow pipeline components can accept and pass types of artifacts, according to their documentation.

You can change your code to the following to stop this error:

from kfp.dsl import Dataset, Artifact

@kfp.dsl.component
def turn_window_generator(df: Dataset) -> Artifact:
....
    return wide_window