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LLaMA-Factory-Mirror
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Update parser.py

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hoshi-hiyouga 2024-04-26 03:35:39 +08:00 committed by GitHub
parent 3408af236f
commit f62cadb258
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1 changed files with 4 additions and 8 deletions
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src/llmtuner/data/parser.py
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@ -25,9 +25,10 @@ class DatasetAttr:
subset: Optional[str] = None
folder: Optional[str] = None
ranking: bool = False
formatting: Literal["alpaca", "sharegpt", "llava"] = "alpaca"
formatting: Literal["alpaca", "sharegpt"] = "alpaca"
""" columns """
system: Optional[str] = None
images: Optional[str] = None
""" columns for the alpaca format """
prompt: Optional[str] = "instruction"
query: Optional[str] = "input"
@ -44,8 +45,6 @@ class DatasetAttr:
observation_tag: Optional[str] = "observation"
function_tag: Optional[str] = "function_call"
system_tag: Optional[str] = "system"
""" columns for the mllm format """
images: Optional[str] = None
def __repr__(self) -> str:
return self.dataset_name
@ -105,21 +104,18 @@ def get_dataset_list(data_args: "DataArguments") -> List["DatasetAttr"]:
dataset_attr.set_attr("folder", dataset_info[name])
dataset_attr.set_attr("ranking", dataset_info[name], default=False)
dataset_attr.set_attr("formatting", dataset_info[name], default="alpaca")
dataset_attr.set_attr("images", dataset_info[name], default="")
if "columns" in dataset_info[name]:
column_names = ["system"]
column_names = ["system", "images"]
if dataset_attr.formatting == "alpaca":
column_names.extend(["prompt", "query", "response", "history"])
elif dataset_attr.formatting == "llava":
column_names.extend(["messages", "images"])
else:
column_names.extend(["messages", "tools"])
for column_name in column_names:
dataset_attr.set_attr(column_name, dataset_info[name]["columns"])
if dataset_attr.formatting != "alpaca" and "tags" in dataset_info[name]:
if dataset_attr.formatting == "sharegpt" and "tags" in dataset_info[name]:
tag_names = (
"role_tag",
"content_tag",