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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 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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from opencompass.utils.text_postprocessors import first_capital_postprocess |
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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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"语句一:“{sentence1}”\n语句二:“{sentence2}”\n请问这两句话是什么关系?\nA. 蕴含\nB. 矛盾\nC. 无关\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_postprocess), |
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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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