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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from mmengine.config import 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 GenInferencer
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from opencompass.datasets.OpenHuEval.HuStandardFIB import HuStandardFIBDataset, HuStandardFIBEvaluator
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with read_base():
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from .HuStandardFIB_setting import INSTRUCTION, DATA_PATH, DATA_VERSION
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instruction = INSTRUCTION['prompt_template']
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prompt_version = INSTRUCTION['version']
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hu_standard_fib_reader_cfg = dict(input_columns=['question', 'subject'],
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output_column='reference')
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hu_standard_fib_datasets = []
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hu_standard_fib_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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begin='</E>',
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round=[
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dict(role='HUMAN', prompt=instruction),
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],
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),
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ice_token='</E>',
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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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hu_standard_fib_eval_cfg = dict(evaluator=dict(type=HuStandardFIBEvaluator))
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hu_standard_fib_datasets.append(
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dict(
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abbr=f'hu_standard_fib_{DATA_VERSION}-prompt_{prompt_version}',
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type=HuStandardFIBDataset,
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filepath=DATA_PATH,
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reader_cfg=hu_standard_fib_reader_cfg,
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infer_cfg=hu_standard_fib_infer_cfg,
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eval_cfg=hu_standard_fib_eval_cfg,
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))
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