


import argparse
import json

from tqdm import tqdm


def 		lowercase_  (     ):


			'''simple docstring'''







			__lowercase 					=   argparse.ArgumentParser()

			# Required parameters
			parser.add_argument(
			    '''--src_path'''       ,			type=_UpperCamelCase       ,			default='''biencoder-nq-dev.json'''       ,			help='''Path to raw DPR training data'''       ,			)
			parser.add_argument(
			    '''--evaluation_set'''       ,			type=_UpperCamelCase       ,			help='''where to store parsed evaluation_set file'''       ,			)
			parser.add_argument(
			    '''--gold_data_path'''       ,			type=_UpperCamelCase       ,			help='''where to store parsed gold_data_path file'''       ,			)
			__lowercase 					=   parser.parse_args()

			with open(args.src_path       ,			'''r'''  ) as src_file, open(args.evaluation_set       ,			'''w'''  ) as eval_file, open(
			    args.gold_data_path       ,			'''w'''  ) as gold_file:
						__lowercase 					=   json.load(_UpperCamelCase  )
						for dpr_record in tqdm(_UpperCamelCase  ):
									__lowercase 					=   dpr_record['''question''']
									__lowercase 					=   [context['''title'''] for context in dpr_record['''positive_ctxs''']]
									eval_file.write(question + '''\n'''  )
									gold_file.write('''\t'''.join(_UpperCamelCase  ) + '''\n'''  )


if __name__ == "__main__":
	main()






a : Any		=				'''
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

a : Union[str, Any]		=				[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
a : Union[str, Any]		=				{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}


