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* fix pip version * fix pip version * update (#1522) Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn> * [Feature] Update Models (#1518) * Update Models * Update * Update humanevalx * Update * Update * [Feature] Dataset prompts update for ARC, BoolQ, Race (#1527) add judgerbench and reorg sub add judgerbench and reorg subeval add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval --------- Co-authored-by: zhulinJulia24 <145004780+zhulinJulia24@users.noreply.github.com> Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn> Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> Co-authored-by: Linchen Xiao <xxllcc1993@gmail.com>
55 lines
1.6 KiB
Python
55 lines
1.6 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.datasets.subjective import JudgerBenchDataset, JudgerBenchEvaluator
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from mmengine.config import read_base
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subjective_reader_cfg = dict(
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input_columns=['judge_prompt'],
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output_column='judge',
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)
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subjective_all_sets = [
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'judgerbench_A_cn', 'judgerbench_A_en', 'judgerbench_B'
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]
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judgerbench_datasets = []
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for _name in subjective_all_sets:
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subjective_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='{judge_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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subjective_eval_cfg = dict(
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evaluator=dict(
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type=JudgerBenchEvaluator,
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),
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pred_role='BOT',
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)
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judgerbench_datasets.append(
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dict(
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abbr=f'{_name}',
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type=JudgerBenchDataset,
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path='./data/subjective/judgerbench',
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name=_name,
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reader_cfg=subjective_reader_cfg,
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infer_cfg=subjective_infer_cfg,
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eval_cfg=subjective_eval_cfg,
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))
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# ds1000_eval_cfg = dict(
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# evaluator=dict(type=DS1000Evaluator),
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# pred_role='BOT',
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# pred_postprocessor=dict(type=ds1000_postprocess),
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# )
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