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43 lines
1.3 KiB
Python
43 lines
1.3 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 cmnliDataset_V2
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cmnli_reader_cfg = dict(
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input_columns=["sentence1", "sentence2"],
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output_column="label",
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test_split="train")
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cmnli_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role="HUMAN",
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prompt=
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"阅读文章：{sentence1}\n根据上文，回答如下问题：{sentence2}\nA. 对\nB. 错\nC. 可能\n请从“A”，“B”，“C”中进行选择。\n答："
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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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cmnli_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role="BOT",
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pred_postprocessor=dict(type="first-capital"),
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)
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cmnli_datasets = [
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dict(
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abbr="cmnli",
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type=cmnliDataset_V2,
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path="./data/CLUE/cmnli/cmnli_public/dev.json",
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reader_cfg=cmnli_reader_cfg,
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infer_cfg=cmnli_infer_cfg,
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eval_cfg=cmnli_eval_cfg,
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)
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]
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