from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import pickle
import numpy as np
import pandas as pd
from paddlehub.dataset import InputExample, HubDataset
def random(data):
random_order = list(range(len(data)))
np.random.shuffle(random_order)
train_data = [data[j] for i, j in enumerate(random_order) if i % 3 == 0]
valid_data = [data[j] for i, j in enumerate(random_order) if i % 3 == 1]
test_data = [da...