def load_pandas_df(local_cache_path=".", file_split="train"):
    """Loads extracted dataset into pandas
    Args:
        local_cache_path ([type], optional): [description]. Defaults to current working directory.
        file_split (str, optional): The subset to load.
            One of: {"train", "dev_matched", "dev_mismatched"}
            Defaults to "train".
    Returns:
        pd.DataFrame: pandas DataFrame containing the specified
            MultiNLI subset.
    """
    try:
        download_file_and_extract(local_cache_path, file_split)
    except Exception as e:
        raise e
    return pd.read_json(
        os.path.join(local_cache_path, DATA_FILES[file_split]), lines=True
    )
Loads extracted dataset into pandas
    Args:
        local_cache_path ([type], optional): [description]. Defaults to current working directory.
        file_split (str, optional): The subset to load.
            One of: {"train", "dev_matched", "dev_mismatched"}
            Defaults to "train".
    Returns:
        pd.DataFrame: pandas DataFrame containing the specified
            MultiNLI subset.
    
utils_nlp/dataset/multinli.py