def create_test_partition(df, N_batch):
    """
    Creates a partition of the dataset into a single test set.
    
    Parameters
    ----------
        df : pandas dataframe
            Dataframe corresponding to the dataset.
        split_ratio : float
            Training sample percentage, must be between 0 and 1.
        N_batch : int
            Batch size
        shuffle : 
            Shuffle the dataframe before or not. Default True.
            
    Returns
    -------
        partition : Dict
            {'test': list of IDs}
        lables : Dict
            {'ID' : transcription (list) }
    """
   
    ID = df['path'].tolist()
    transcriptions = df['encoded'].tolist()    

    partition = dict()
    partition['test'] = ID #

    labels = dict()    
    # Save all the transcriptions into labels dictionary
    for i,val in enumerate(ID): 
        labels[val] = transcriptions[i]   
        
    return partition, labels