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42 lines
1.3 KiB
Python
42 lines
1.3 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import hellaswagDataset_V3
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hellaswag_reader_cfg = dict(
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input_columns=['query', 'A', 'B', 'C', 'D'],
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output_column='gold')
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hellaswag_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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"0": dict(
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round=[dict(role="HUMAN", prompt="{query} {A}")]
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),
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"1": dict(
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round=[dict(role="HUMAN", prompt="{query} {B}")]
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),
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"2": dict(
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round=[dict(role="HUMAN", prompt="{query} {C}")]
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),
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"3": dict(
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round=[dict(role="HUMAN", prompt="{query} {D}")]
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),
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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hellaswag_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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hellaswag_datasets = [
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dict(
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abbr='hellaswag',
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type=hellaswagDataset_V3,
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path='./data/hellaswag/hellaswag.jsonl',
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reader_cfg=hellaswag_reader_cfg,
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infer_cfg=hellaswag_infer_cfg,
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eval_cfg=hellaswag_eval_cfg)
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]
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