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import evaluate
from evaluate.evaluation_suite import SubTask
class Suite(evaluate.EvaluationSuite):
def __init__(self, name):
super().__init__(name)
self.preprocessor = lambda x: {"text": x["text"].lower()}
self.suite = [
SubTask(
task_type="text-classification",
data="glue",
subset="cola",
split="test[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "sentence",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0.0,
"LABEL_1": 1.0
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="sst2",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "sentence",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0.0,
"LABEL_1": 1.0
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="qqp",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "question1",
"second_input_column": "question2",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="mrpc",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "sentence1",
"second_input_column": "sentence2",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="mnli",
split="validation_mismatched[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "premise",
"second_input_column": "hypothesis",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="qnli",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "question",
"second_input_column": "sentence",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="rte",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "sentence1",
"second_input_column": "sentence2",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1
}
}
),
SubTask(
task_type="text-classification",
data="glue",
subset="wnli",
split="validation[:10]",
args_for_task={
"metric": "accuracy",
"input_column": "sentence1",
"second_input_column": "sentence2",
"label_column": "label",
"label_mapping": {
"LABEL_0": 0,
"LABEL_1": 1
}
}
)
]
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