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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 typing import Callable, TypedDict
from typing_extensions import NotRequired
from ...extras.types import Sample, SFTSample
class AlpacaSample(TypedDict, total=False):
system: NotRequired[str]
instruction: NotRequired[str]
input: NotRequired[str]
output: NotRequired[str]
def alpaca_converter(raw_sample: AlpacaSample) -> SFTSample:
"""Convert Alpaca sample to SFT sample.
Args:
raw_sample (AlpacaSample): Alpaca sample.
Returns:
SFTSample: SFT sample.
"""
messages = []
if "system" in raw_sample:
messages.append(
{"role": "system", "content": [{"type": "text", "value": raw_sample["system"]}], "loss_weight": 0.0}
)
if "instruction" in raw_sample or "input" in raw_sample:
messages.append(
{
"role": "user",
"content": [
{"type": "text", "value": raw_sample.get("instruction", "") + raw_sample.get("input", "")}
],
"loss_weight": 0.0,
}
)
if "output" in raw_sample:
messages.append(
{"role": "assistant", "content": [{"type": "text", "value": raw_sample["output"]}], "loss_weight": 1.0}
)
return {"messages": messages}
CONVERTERS = {
"alpaca": alpaca_converter,
}
def get_converter(converter_name: str) -> Callable[[dict], Sample]:
if converter_name not in CONVERTERS:
raise ValueError(f"Converter {converter_name} not found.")
return CONVERTERS[converter_name]
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