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43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import MaxminDataset
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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maxmin_reader_cfg = dict(
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input_columns=['nl_tokens', 'pl_tokens'],
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output_column='answer',
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)
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maxmin_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt="Code:{pl_tokens}\nThe aim of the code: {nl_tokens}\nQuestion: Please tell me what \"<mask>\" in the code should be replaced with and you must response to me only A or B.\nA. max\nB. min\nAnswer:"),
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dict(role='BOT', prompt='{answer}'),
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]
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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maxmin_eval_cfg = dict(evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_capital_postprocess))
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maxmin_datasets = [
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dict(
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type=MaxminDataset,
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abbr=f'maxmin',
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test_path=f'data/clozeTest-maxmin/python/clozeTest.json',
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answer_path=f'data/clozeTest-maxmin/python/answers.txt',
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reader_cfg=maxmin_reader_cfg,
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infer_cfg=maxmin_infer_cfg,
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eval_cfg=maxmin_eval_cfg,
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)
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]
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