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52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import HFDataset
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_hint = "The following are semantic matching questions. \n" \
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"Please determine whether the following two sentences are semantically equivalent: " \
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"0 means not equivalent, 1 means equivalent.\n"
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MRPC_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template="Sentence one: {sentence1}\nSentence two: {sentence2}\nResult: {label}",
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),
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prompt_template=dict(
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type=PromptTemplate,
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template={
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answer:
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f"{_hint}</E>Sentence one: {{sentence1}}\nSentence two: {{sentence2}}\nResult: {answer}"
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for answer in [0, 1]
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
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inferencer=dict(type=PPLInferencer))
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MRPC_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
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MRPC_datasets = []
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for _split in ["validation", "test"]:
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MRPC_reader_cfg = dict(
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input_columns=['sentence1', 'sentence2'],
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output_column='label',
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train_split="train",
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test_split=_split
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)
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MRPC_datasets.append(
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dict(
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abbr=f'MRPC-{_split}',
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type=HFDataset,
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path='glue',
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name='mrpc',
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reader_cfg=MRPC_reader_cfg,
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infer_cfg=MRPC_infer_cfg,
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eval_cfg=MRPC_eval_cfg
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)
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)
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