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)