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45 lines
1.3 KiB
Python
45 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 CBDataset_V2
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from opencompass.utils.text_postprocessors import first_option_postprocess
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CB_reader_cfg = dict(
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input_columns=["premise", "hypothesis"],
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output_column="label",
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)
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CB_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(
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role="HUMAN",
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prompt=
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"{premise}\n{hypothesis}\nWhat is the relation between the two sentences?\nA. Contradiction\nB. Entailment\nC. Neutral\nAnswer:"
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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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CB_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_option_postprocess, options='ABC'),
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)
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CB_datasets = [
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dict(
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abbr="CB",
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type=CBDataset_V2,
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path="./data/SuperGLUE/CB/val.jsonl",
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reader_cfg=CB_reader_cfg,
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infer_cfg=CB_infer_cfg,
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eval_cfg=CB_eval_cfg,
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)
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]
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