def load_test_data_and_labels(dataset, rottenTomato=False):
    """
    Loads MR polarity data from files, splits the data into words and generates labels.
    Returns split sentences and labels.
    """
    pathtxt = dataset
    x_text = []
    labels = []
    ids = []
    for line in open(pathtxt, "r").readlines():
        splited_line = line.split('\t')
        x_text.append(splited_line[2])
        labels.append(splited_line[1])
        ids.append(splited_line[0])

    x_text = [s.split(" ")[0:60] for s in x_text]

    return x_text, labels, ids