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from typing import Optional, Union, Callable
from dataclasses import dataclass
from datasets import Dataset
from evaluate.evaluation_suite import EvaluationSuite
@dataclass
class SubTask:
model_or_pipeline: Optional[Union[str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel"]] = None
data: Optional[Union[str, Dataset]] = None
subset: Optional[str] = None
split: Optional[str] = None
data_preprocessor: Optional[Callable] = None,
args_for_task: Optional[dict] = None
class EvaluationSuite:
def __init__(self):
self.preprocessor = None #lambda x: x["text"].lower()
self.suite = [
SubTask(
data="imdb",
split="test",
data_preprocessor=self.preprocessor,
args_for_task={
"metric": "accuracy",
"input_column": "text",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0.0,
"LABEL_1": 1.0
}
}
),
SubTask(
data="sst2",
split="test[:10]",
data_preprocessor=self.preprocessor,
args_for_task={
"metric": "accuracy",
"input_column": "sentence",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0.0,
"LABEL_1": 1.0
}
}
)
]
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