| # Copyright 2025 the LlamaFactory team. | |
| # | |
| # 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 random | |
| import pytest | |
| from datasets import load_dataset | |
| from llamafactory.v1.config.data_args import DataArguments | |
| from llamafactory.v1.core.data_engine import DataEngine | |
| def test_map_dataset(num_samples: int): | |
| data_args = DataArguments(dataset="llamafactory/v1-sft-demo") | |
| data_engine = DataEngine(data_args) | |
| original_data = load_dataset("llamafactory/v1-sft-demo", split="train") | |
| indexes = random.choices(range(len(data_engine)), k=num_samples) | |
| for index in indexes: | |
| print(data_engine[index]) | |
| assert data_engine[index] == {"_dataset_name": "default", **original_data[index]} | |
| if __name__ == "__main__": | |
| test_map_dataset(1) | |