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import json
from tqdm import tqdm
import os
import argparse
def load_data(file_path,is_training=False):
with open(file_path, 'r', encoding='utf8') as f:
lines = json.loads(''.join(f.readlines()))
result=[]
for line in tqdm(lines):
data = line
texta = '\n'.join(data[0])
textb =''
for qa in data[1]:
question=qa['question']
choice=qa['choice']
answer=qa['answer'] if 'answer' in qa.keys() else ''
label = qa['choice'].index(answer) if 'answer' in qa.keys() else 0
text_id = qa['id'] if 'id' in qa.keys() else 0
result.append({'texta':texta,
'textb':textb,
'question':question,
'choice':choice,
'answer':answer,
'label':label,
'id':text_id})
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=['d-train','d-dev','c3-m-train','m-train','m-dev','test1.0','test1.1']
train_data = []
dev_data = []
for file in file_list:
file_path = os.path.join(data_path,file+'.json')
data=load_data(file_path=file_path)
if 'train' in file or 'd-dev' in file:
train_data.extend(data)
elif 'm-dev' in file:
dev_data.extend(data)
elif 'test' in file:
output_path = os.path.join(save_path,file+'.json')
save_data(data,output_path)
output_path = os.path.join(save_path,'train.json')
save_data(train_data,output_path)
output_path = os.path.join(save_path,'dev.json')
save_data(dev_data,output_path) |