| 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) | |