Function benchmark_from_datasets has error with parameters and kwargs

[sudaksh14]

in the source code for the function as shown below:

def benchmark_from_datasets(**dataset_streams: Sequence[TCLDataset]) -> CLScenario:
    """Creates a benchmark given a list of datasets for each stream.

    Each dataset will be considered as a separate experience.
    Contents of the datasets must already be set, including task labels.
    Transformations will be applied if defined.

    Avalanche benchmarks usually provide at least a train and test stream,
    but this generator is fully generic.

    To use this generator, you must convert your data into an Avalanche Dataset.

    :param dataset_streams: A dictionary with stream-name as key and
        list-of-datasets as values, where stream-name is the name of the stream,
        while list-of-datasets is a list of Avalanche datasets, where
        list-of-datasets[i] contains the data for experience i.
    """
    exps_streams = []
    for stream_name, data_s in dataset_streams.items():
        for dd in data_s:
            if not isinstance(dd, AvalancheDataset):
                raise ValueError("datasets must be AvalancheDatasets")
        des = [
            DatasetExperience(dataset=dd, current_experience=eid)
            for eid, dd in enumerate(data_s)
        ]
        s = EagerCLStream(stream_name, des)
        exps_streams.append(s)
    return CLScenario(exps_streams)

the parameter dataset_streams is given as a kwarg and it gives error as it doesn't accept the dict rpovided by the user instead uses this dataset_streams as the inbuilt dict, thus always raise the Value error as the variable dd in above code is always a string. I removed the ** and now it works fine for me.