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mathemakitten commited on
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ec0b829
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1 Parent(s): 037729c

gloo fr

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Files changed (1) hide show
  1. glue-suite-v2.py +111 -124
glue-suite-v2.py CHANGED
@@ -7,132 +7,119 @@ class Suite(evaluate.EvaluationSuite):
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  def __init__(self, name):
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  super().__init__(name)
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- """
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- {
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- "data": "glue",
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- "name": "cola",
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- "split": "test[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "sentence",
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- "label_column": "label",
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- "label_mapping": {
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- "LABEL_0": 0.0,
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- "LABEL_1": 1.0
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- }
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- }
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- },
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- {
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- "data": "glue",
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- "name": "sst2",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "sentence",
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- "label_column": "label",
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- "label_mapping": {
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- "LABEL_0": 0.0,
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- "LABEL_1": 1.0
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- }
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- }
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- },
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- {
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- "data": "glue",
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- "name": "mnli",
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- "split": "validation_mismatched[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "premise",
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- "second_input_column": "hypothesis",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2
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- },
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- "label_column": "label"
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- }
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- },
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- {
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- "data": "glue",
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- "name": "mrpc",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "sentence1",
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- "second_input_column": "sentence2",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "label_column": "label"
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- }
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- },
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- {
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- "data": "glue",
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- "name": "qqp",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "question1",
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- "second_input_column": "question2",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "label_column": "label"
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- }
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- },
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- {
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- "data": "glue",
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- "name": "qnli",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "question",
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- "second_input_column": "sentence",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "label_column": "label"
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- }
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- },
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- {
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- "data": "glue",
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- "name": "rte",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "sentence1",
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- "second_input_column": "sentence2",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "label_column": "label"
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- }
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- },
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- {
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- "data": "glue",
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- "name": "wnli",
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- "split": "validation[:10]",
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- "args_for_task": {
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- "metric": "accuracy",
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- "input_column": "sentence1",
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- "second_input_column": "sentence2",
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- "label_mapping": {
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- "LABEL_0": 0,
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- "LABEL_1": 1
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- },
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- "label_column": "label"
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- }
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- }
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- ]
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- }
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- """
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  def setup(self):
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  self.preprocessor = lambda x: {"text": x["text"].lower()}
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  self.suite = [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  SubTask(
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  task_type="text-classification",
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  data="glue",
@@ -149,4 +136,4 @@ class Suite(evaluate.EvaluationSuite):
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  }
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  }
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  )
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- ]
 
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  def __init__(self, name):
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  super().__init__(name)
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  def setup(self):
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  self.preprocessor = lambda x: {"text": x["text"].lower()}
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  self.suite = [
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="cola",
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+ split="test[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "sentence",
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+ "label_column": "label",
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+ "label_mapping": {
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+ "LABEL_0": 0.0,
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+ "LABEL_1": 1.0
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="sst2",
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+ split="validation[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "sentence",
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+ "label_column": "label",
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+ "label_mapping": {
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+ "LABEL_0": 0.0,
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+ "LABEL_1": 1.0
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="qqp",
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+ split="validation[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "question1",
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+ "second_input_column": "question2",
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+ "label_column": "label",
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+ "label_mapping": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="mrpc",
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+ split="validation[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "sentence1",
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+ "second_input_column": "sentence2",
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+ "label_column": "label",
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+ "label_mapping": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="mnli",
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+ split="validation_mismatched[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "premise",
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+ "second_input_column": "hypothesis",
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+ "label_mapping": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="qnli",
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+ split="validation[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "question",
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+ "second_input_column": "sentence",
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+ "label_column": "label",
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+ "label_mapping": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ }
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+ }
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+ ),
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+ SubTask(
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+ task_type="text-classification",
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+ data="glue",
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+ subset="rte",
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+ split="validation[:10]",
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+ args_for_task={
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+ "metric": "accuracy",
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+ "input_column": "sentence1",
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+ "second_input_column": "sentence2",
116
+ "label_column": "label",
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+ "label_mapping": {
118
+ "LABEL_0": 0,
119
+ "LABEL_1": 1
120
+ }
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+ }
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+ ),
123
  SubTask(
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  task_type="text-classification",
125
  data="glue",
 
136
  }
137
  }
138
  )
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+ ]