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52 lines
1.7 KiB
Python
52 lines
1.7 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 AFQMCDataset_V2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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bustm_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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bustm_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请判断语句一和语句二说的是否是一个意思？\nA. 无关\nB. 相关\n请从“A”，“B”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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bustm_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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bustm_datasets = [
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dict(
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abbr="bustm-dev",
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type=AFQMCDataset_V2, # bustm share the same format with AFQMC
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path="./data/FewCLUE/bustm/dev_few_all.json",
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reader_cfg=bustm_reader_cfg,
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infer_cfg=bustm_infer_cfg,
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eval_cfg=bustm_eval_cfg,
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),
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dict(
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abbr="bustm-test",
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type=AFQMCDataset_V2, # bustm share the same format with AFQMC
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path="./data/FewCLUE/bustm/test_public.json",
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reader_cfg=bustm_reader_cfg,
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infer_cfg=bustm_infer_cfg,
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eval_cfg=bustm_eval_cfg,
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),
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]
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