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| # 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. | |
| from llamafactory.data import Role | |
| from llamafactory.data.converter import get_dataset_converter | |
| from llamafactory.data.parser import DatasetAttr | |
| from llamafactory.hparams import DataArguments | |
| def test_alpaca_converter(): | |
| dataset_attr = DatasetAttr("hf_hub", "llamafactory/tiny-supervised-dataset") | |
| data_args = DataArguments() | |
| example = { | |
| "instruction": "Solve the math problem.", | |
| "input": "3 + 4", | |
| "output": "The answer is 7.", | |
| } | |
| dataset_converter = get_dataset_converter("alpaca", dataset_attr, data_args) | |
| assert dataset_converter(example) == { | |
| "_prompt": [{"role": Role.USER.value, "content": "Solve the math problem.\n3 + 4"}], | |
| "_response": [{"role": Role.ASSISTANT.value, "content": "The answer is 7."}], | |
| "_system": "", | |
| "_tools": "", | |
| "_images": None, | |
| "_videos": None, | |
| "_audios": None, | |
| } | |
| def test_sharegpt_converter(): | |
| dataset_attr = DatasetAttr("hf_hub", "llamafactory/tiny-supervised-dataset") | |
| data_args = DataArguments() | |
| example = { | |
| "conversations": [ | |
| {"from": "system", "value": "You are a helpful assistant."}, | |
| {"from": "human", "value": "Solve the math problem.\n3 + 4"}, | |
| {"from": "gpt", "value": "The answer is 7."}, | |
| ] | |
| } | |
| dataset_converter = get_dataset_converter("sharegpt", dataset_attr, data_args) | |
| assert dataset_converter(example) == { | |
| "_prompt": [{"role": Role.USER.value, "content": "Solve the math problem.\n3 + 4"}], | |
| "_response": [{"role": Role.ASSISTANT.value, "content": "The answer is 7."}], | |
| "_system": "You are a helpful assistant.", | |
| "_tools": "", | |
| "_images": None, | |
| "_videos": None, | |
| "_audios": None, | |
| } | |