File size: 2,010 Bytes
8ebda9e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
import json
from tqdm import tqdm
import os
import argparse
label2desc={'contradiction':'矛盾','neutral':'自然','entailment':'蕴含'}
def load_data(file_path,is_training=False):
with open(file_path, 'r', encoding='utf8') as f:
lines = f.readlines()
result=[]
for line in tqdm(lines):
data = json.loads(line)
texta = data['sentence1']
textb = data['sentence2']
question = ''
choice = [v for k,v in label2desc.items()]
answer = label2desc[data['label']] if 'label' in data.keys() else ''
label = choice.index(answer) if 'label' in data.keys() else 0
text_id = data['id'] if 'id' in data.keys() else 0
result.append({'task_type':'自然语言推理',
'texta':texta,
'textb':textb,
'question':question,
'choice':choice,
'answer':answer,
'label':label,
'id':text_id})
for i in range(5):
print(result[i])
return result
def save_data(data,file_path):
with open(file_path, 'w', encoding='utf8') as f:
for line in data:
json_data=json.dumps(line,ensure_ascii=False)
f.write(json_data+'\n')
if __name__=="__main__":
parser = argparse.ArgumentParser(description="train")
parser.add_argument("--data_path", type=str,default="")
parser.add_argument("--save_path", type=str,default="")
args = parser.parse_args()
data_path = args.data_path
save_path = args.save_path
if not os.path.exists(save_path):
os.makedirs(save_path)
file_list = ['train','dev','test']
for file in file_list:
file_path = os.path.join(data_path,file+'.json')
output_path = os.path.join(save_path,file+'.json')
save_data(load_data(file_path),output_path)
|