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48 lines
1.5 KiB
Python
48 lines
1.5 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 GenInferencer
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from opencompass.openicl.icl_evaluator import Judgerbenchv2Evaluator
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from opencompass.datasets import Judgerbenchv2Dataset
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judgerbenchv2_reader_cfg = dict(
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input_columns=['prompt'],
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output_column='judge',
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)
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data_path = './data/judgeeval/judgerbenchv2'
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judgerbenchv2_all_sets = ['Knowledge', 'Longtext', 'Reason_and_analysis', 'safe', 'Hallucination', 'chatQA', 'IF', 'LanTask', 'Creation', 'Code_and_AI']
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get_judgerbenchv2_dataset = []
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for _name in judgerbenchv2_all_sets:
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judgerbenchv2_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='{prompt}'
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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, max_out_len=4096),
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)
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judgerbenchv2_eval_cfg = dict(
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evaluator=dict(
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type=Judgerbenchv2Evaluator,
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),
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)
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get_judgerbenchv2_dataset.append(
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dict(
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abbr=f'{_name}',
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type=Judgerbenchv2Dataset,
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path=data_path,
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name=_name,
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reader_cfg=judgerbenchv2_reader_cfg,
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infer_cfg=judgerbenchv2_infer_cfg,
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eval_cfg=judgerbenchv2_eval_cfg,
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))
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