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import os |
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from dataclasses import dataclass, field |
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from typing import Literal, Optional |
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from datasets import DownloadMode |
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@dataclass |
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class EvaluationArguments: |
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r""" |
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Arguments pertaining to specify the evaluation parameters. |
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""" |
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task: str = field(metadata={"help": "Name of the evaluation task."}) |
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task_dir: Optional[str] = field( |
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default="evaluation", metadata={"help": "Path to the folder containing the evaluation datasets."} |
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) |
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batch_size: Optional[int] = field(default=4, metadata={"help": "The batch size per GPU for evaluation."}) |
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seed: Optional[int] = field(default=42, metadata={"help": "Random seed to be used with data loaders."}) |
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lang: Optional[Literal["en", "zh"]] = field(default="en", metadata={"help": "Language used at evaluation."}) |
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n_shot: Optional[int] = field(default=5, metadata={"help": "Number of examplars for few-shot learning."}) |
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save_dir: Optional[str] = field(default=None, metadata={"help": "Path to save the evaluation results."}) |
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download_mode: Optional[DownloadMode] = field( |
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default=DownloadMode.REUSE_DATASET_IF_EXISTS, |
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metadata={"help": "Download mode used for the evaluation datasets."}, |
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) |
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def __post_init__(self): |
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if self.save_dir is not None and os.path.exists(self.save_dir): |
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raise ValueError("`save_dir` already exists, use another one.") |
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