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import evaluate
from evaluate.evaluation_suite import SubTask
class Suite(evaluate.EvaluationSuite):
def __init__(self, name):
super().__init__(name)
def setup(self):
self.preprocessor = lambda x: {x["text"]: x["text"].lower()} # dataset.map(lambda example, idx: {"sentence2": f"{idx}: " + example["sentence2"]}, with_indices=True)
self.suite = [
SubTask(
task_type="text-classification",
data="imdb",
split="test[:10]",
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(
task_type="text-classification",
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
}
}
)
] |