0a01df9bdc0bd142eff95a1c878947047194d617,deeppavlov/core/commands/train.py,,train_model_from_config,#Any#,72

Before Change

    data_path = expand_path(reader_config.get("data_path", ""))
    kwargs = reader_config.copy()
    if "name" in kwargs: del kwargs["name"]
    if "data_path" in kwargs: del kwargs["data_path"]
    data = reader.read(data_path, **kwargs)

    iterator_config = config["dataset_iterator"]
    dataset: BasicDatasetIterator = from_params(iterator_config, data=data)

After Change

    reader_config = config["dataset_reader"]
    reader = get_model(reader_config["name"])()
    data_path = expand_path(reader_config.get("data_path", ""))
    kwargs = {k: v for k, v in reader_config.items() if k not in ["name", "data_path"]}
    data = reader.read(data_path, **kwargs)

    iterator_config = config["dataset_iterator"]
    dataset: BasicDatasetIterator = from_params(iterator_config, data=data)

Instances