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import json
from tqdm import tqdm
import os
import jieba.analyse
import argparse
label2desc={'1':'可以','0':'不能'}
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['abst']
abst = data['abst']
textb = ''
keyword = '、'.join(data['keyword'])
question = ''
keyword=data['keyword']
rs=jieba.analyse.extract_tags(data['abst'],topK=15)
texta='、'.join(rs)+'。'+texta
comm=[]
for k in keyword:
if k in rs:
comm.append(k)
for word in comm:
if word in abst:
abst=abst.replace(word,word+'（共现关键字）')
comm=[word for word in comm]
keyword=[word for word in data['keyword']]
comm_text='共现词汇'+str(len(comm))+'个，分别是'+'、'.join(comm)
keyword = '、'.join(keyword)
question=''
choice = [f'{v}使用{keyword}概括摘要' for k,v in label2desc.items()]
answer = label2desc[data['label']] if 'label' in data.keys() else ''
answer = f'{answer}使用{keyword}概括摘要'
label = choice.index(answer) if 'label' in data.keys() else 0
text_id = data['id'] if 'id' in data.keys() else 0
result.append({'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)
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