def METHOD_NAME( text_tokens, entity_tokens, clabel=1):
    '''
    This function labels the training data
    '''
    label = []
    z = np.array([0] * len(text_tokens)) # Create final label == len(tokens) of each sentence
    matched_keywords = 0 # Initially no kword matched, label all tokens 0
    for i in range(len(text_tokens)):
        if text_tokens[i: (i + len(entity_tokens))] == entity_tokens:#yeah, find our match
            matched_keywords += 1
            if (len(entity_tokens) == 1):
                z[i] = clabel #label name token 1
            else:
                z[i] = clabel
                z[(i+1) : (i+ len(entity_tokens))]= clabel
            label.append(z.tolist())
    return label