





import argparse
import json

from tqdm import tqdm





def      _UpperCamelCase  ():






							"""simple docstring"""





							UpperCamelCase__					  =      argparse.ArgumentParser()

							# Required parameters
							parser.add_argument(
							    """--src_path""" ,      type=a__ ,      default="""biencoder-nq-dev.json""" ,      help="""Path to raw DPR training data""" ,      )
							parser.add_argument(
							    """--evaluation_set""" ,      type=a__ ,      help="""where to store parsed evaluation_set file""" ,      )
							parser.add_argument(
							    """--gold_data_path""" ,      type=a__ ,      help="""where to store parsed gold_data_path file""" ,      )
							UpperCamelCase__					  =      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:
														UpperCamelCase__					  =      json.load(a__							)
														for dpr_record in tqdm(a__							):
																					UpperCamelCase__					  =      dpr_record["""question"""]
																					UpperCamelCase__					  =      [context["""title"""] for context in dpr_record["""positive_ctxs"""]]
																					eval_file.write(question + """\n"""							)
																					gold_file.write("""\t""".join(a__							) + """\n"""							)


if __name__ == "__main__":
					main()











# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
UpperCamelCase__           =			"\nHuman: <<task>>\n\nAssistant: "


UpperCamelCase__           =			"huggingface-tools/default-prompts"
UpperCamelCase__           =			{"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}





def      _UpperCamelCase  (a__ :List[Any] ,      a__ :Optional[Any] ,      a__ :List[str]="run"							):






							"""simple docstring"""





							if prompt_or_repo_id is None:
														UpperCamelCase__					  =      DEFAULT_PROMPTS_REPO

							# prompt is considered a repo ID when it does not contain any kind of space
							if re.search("""\\s""" ,      a__							) is not None:
														return prompt_or_repo_id

							UpperCamelCase__					  =      cached_file(
							    a__ ,      PROMPT_FILES[mode] ,      repo_type="""dataset""" ,      user_agent={"""agent""": agent_name}							)
							with open(a__ ,      """r""" ,      encoding="""utf-8"""							) as f:
														return f.read()




