Hi Team, I am using kedro mlflow plugin in a kedro project, I need to enable versioning for a dataset stored in s3, But the tutorial says:

my_dataset_to_version:
    type: kedro_mlflow.io.artifacts.MlflowArtifactDataset
    dataset:
        type: pandas.CSVDataset  # or any valid kedro DataSet
        filepath: /path/to/a/LOCAL/destination/file.csv # must be a local file, wherever you want to log the data in the end

Is there any way to use s3 file system as file path

does it not work if you provide a s3 path? I’m not familiar with

kedro-mlflow