forked from p04798526/LLaMA-Factory-Mirror
Update parser.py
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@ -20,11 +20,12 @@ class DatasetAttr:
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""" basic configs """
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load_from: Literal["hf_hub", "ms_hub", "script", "file"]
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dataset_name: str
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formatting: Literal["alpaca", "sharegpt"] = "alpaca"
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ranking: bool = False
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""" extra configs """
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subset: Optional[str] = None
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folder: Optional[str] = None
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ranking: bool = False
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formatting: Literal["alpaca", "sharegpt"] = "alpaca"
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num_samples: Optional[int] = None
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""" common columns """
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system: Optional[str] = None
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tools: Optional[str] = None
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@ -48,7 +49,6 @@ class DatasetAttr:
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observation_tag: Optional[str] = "observation"
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function_tag: Optional[str] = "function_call"
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system_tag: Optional[str] = "system"
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sample_num: Optional[int] = None
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def __repr__(self) -> str:
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return self.dataset_name
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@ -103,12 +103,12 @@ def get_dataset_list(data_args: "DataArguments") -> List["DatasetAttr"]:
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else:
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dataset_attr = DatasetAttr("file", dataset_name=dataset_info[name]["file_name"])
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dataset_attr.set_attr("formatting", dataset_info[name], default="alpaca")
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dataset_attr.set_attr("ranking", dataset_info[name], default=False)
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dataset_attr.set_attr("subset", dataset_info[name])
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dataset_attr.set_attr("folder", dataset_info[name])
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dataset_attr.set_attr("ranking", dataset_info[name], default=False)
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dataset_attr.set_attr("formatting", dataset_info[name], default="alpaca")
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dataset_attr.set_attr("sample_num", dataset_info[name])
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dataset_attr.set_attr("num_samples", dataset_info[name])
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if "columns" in dataset_info[name]:
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column_names = ["system", "tools", "images", "chosen", "rejected", "kto_tag"]
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if dataset_attr.formatting == "alpaca":
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