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38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
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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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import C3Dataset
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C3_reader_cfg = dict(
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input_columns=[
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'question', 'content', 'choice0', 'choice1', 'choice2', 'choice3',
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'choices'
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],
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output_column='label')
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C3_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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i: dict(round=[
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dict(role="HUMAN", prompt="文章：{content}\n问题：{question}"),
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dict(role="BOT", prompt=f"答案：{{choice{i}}}")
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])
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for i in range(4)
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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C3_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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C3_datasets = [
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dict(
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type=C3Dataset,
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abbr='C3',
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path='./data/CLUE/C3/dev_0.json',
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reader_cfg=C3_reader_cfg,
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infer_cfg=C3_infer_cfg,
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eval_cfg=C3_eval_cfg)
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]
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