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| from llamafactory.data import Role |
| from llamafactory.data.converter import get_dataset_converter |
| from llamafactory.data.parser import DatasetAttr |
| from llamafactory.hparams import DataArguments |
|
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|
| 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, |
| } |
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