| # Copyright 2024 NVIDIA CORPORATION & AFFILIATES | |
| # | |
| # 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. | |
| # | |
| # SPDX-License-Identifier: Apache-2.0 | |
| import argparse | |
| import json | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--src", type=str) | |
| parser.add_argument("--dst", type=str) | |
| args = parser.parse_args() | |
| all_answers = [] | |
| for line_idx, line in enumerate(open(args.src)): | |
| res = json.loads(line) | |
| question_id = res["question_id"] | |
| text = res["text"].rstrip(".").lower() | |
| all_answers.append({"questionId": question_id, "prediction": text}) | |
| with open(args.dst, "w") as f: | |
| json.dump(all_answers, f) | |