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)