def load_data(loc='..\\data\\'):
    """
    Load the SICK semantic-relatedness dataset
    """
    trainA, trainB, devA, devB, testA, testB = [],[],[],[],[],[]
    trainS, devS, testS = [],[],[]

    with open(os.path.join(loc, 'SICK_train.txt'), 'rb') as f:
        for line in f:
            text = line.strip().split('\t')
            trainA.append(text[1])
            trainB.append(text[2])
            trainS.append(text[3])
    with open(os.path.join(loc, 'SICK_trial.txt'), 'rb') as f:
        for line in f:
            text = line.strip().split('\t')
            devA.append(text[1])
            devB.append(text[2])
            devS.append(text[3])
    with open(os.path.join(loc, 'SICK_test_annotated.txt'), 'rb') as f:
        for line in f:
            text = line.strip().split('\t')
            testA.append(text[1])
            testB.append(text[2])
            testS.append(text[3])

    trainS = [float(s) for s in trainS[1:]]
    devS = [float(s) for s in devS[1:]]
    testS = [float(s) for s in testS[1:]]

    return [trainA[1:], trainB[1:]], [devA[1:], devB[1:]], [testA[1:], testB[1:]], [trainS, devS, testS]

    Load the SICK semantic-relatedness dataset
    
fake news challenge (FNC-1)/eval_sick.py