89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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# Copyright 2023 PKU-Alignment Team. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Safe-RLHF preference datasets."""
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from __future__ import annotations
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from typing import ClassVar
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from datasets import load_dataset
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from .base import RawDataset, RawSample
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__all__ = [
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"SafeRLHFDataset",
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"SafeRLHFTrainDataset",
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"SafeRLHFTestDataset",
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"SafeRLHF10KTrainDataset",
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]
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class SafeRLHFDataset(RawDataset):
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SPLIT: ClassVar[str]
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PATH: ClassVar[str]
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def __init__(self, path: str | None = None) -> None:
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self.data = load_dataset(path or self.PATH, split=self.SPLIT)
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def __getitem__(self, index: int) -> RawSample:
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data = self.data[index]
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return RawSample(
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input=data["prompt"],
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answer=data["response_0"],
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other_answer=data["response_1"],
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better=int(data["better_response_id"]) == 0,
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safer=int(data["safer_response_id"]) == 0,
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is_safe=bool(data["is_response_0_safe"]),
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is_other_safe=bool(data["is_response_1_safe"]),
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)
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def __len__(self) -> int:
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return len(self.data)
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class SafeRLHFTrainDataset(SafeRLHFDataset):
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NAME: str = "PKU-SafeRLHF/train"
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ALIASES: tuple[str, ...] = ("PKU-Alignment/PKU-SafeRLHF/train",)
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PATH: str = "PKU-Alignment/PKU-SafeRLHF"
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SPLIT: str = "train"
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class SafeRLHFTestDataset(SafeRLHFDataset):
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NAME: str = "PKU-SafeRLHF/test"
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ALIASES: tuple[str, ...] = ("PKU-Alignment/PKU-SafeRLHF/test",)
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PATH: str = "PKU-Alignment/PKU-SafeRLHF"
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SPLIT: str = "test"
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class SafeRLHF30KTrainDataset(SafeRLHFDataset):
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NAME: str = "PKU-SafeRLHF-30K/train"
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ALIASES: tuple[str, ...] = ("PKU-Alignment/PKU-SafeRLHF-30K/train",)
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PATH: str = "PKU-Alignment/PKU-SafeRLHF-30K"
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SPLIT: str = "train"
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class SafeRLHF30KTestDataset(SafeRLHFDataset):
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NAME: str = "PKU-SafeRLHF-30K/test"
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ALIASES: tuple[str, ...] = ("PKU-Alignment/PKU-SafeRLHF-30K/test",)
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PATH: str = "PKU-Alignment/PKU-SafeRLHF-30K"
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SPLIT: str = "test"
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class SafeRLHF10KTrainDataset(SafeRLHFDataset):
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NAME: str = "PKU-SafeRLHF-10K/train"
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ALIASES: tuple[str, ...] = ("PKU-Alignment/PKU-SafeRLHF-10K/train",)
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PATH: str = "PKU-Alignment/PKU-SafeRLHF-10K"
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SPLIT: str = "train"
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