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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
from mmengine.config import read_base
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# with read_base():
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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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import ARCDataset
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ARC_c_reader_cfg = dict(
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
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output_column='answerKey')
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ARC_c_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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'A': 'Question: {question}\nAnswer: {textA}',
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'B': 'Question: {question}\nAnswer: {textB}',
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'C': 'Question: {question}\nAnswer: {textC}',
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'D': 'Question: {question}\nAnswer: {textD}'
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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ARC_c_datasets = [
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dict(
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type=ARCDataset,
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abbr='ARC-c',
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path='opencompass/ai2_arc-dev',
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name='ARC-Challenge',
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reader_cfg=ARC_c_reader_cfg,
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infer_cfg=ARC_c_infer_cfg,
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eval_cfg=ARC_c_eval_cfg)
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]
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