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44 lines
1.4 KiB
Python
44 lines
1.4 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.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import hellaswagDataset_V2
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from opencompass.utils.text_postprocessors import first_option_postprocess
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hellaswag_reader_cfg = dict(
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input_columns=["ctx", "A", "B", "C", "D"],
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output_column="label",
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test_split="validation")
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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=dict(round=[
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dict(
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role="HUMAN",
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prompt=("{ctx}\nQuestion: Which ending makes the most sense?\n"
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"A. {A}\nB. {B}\nC. {C}\nD. {D}\n"
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"You may choose from 'A', 'B', 'C', 'D'.\n"
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"Answer:"),
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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),
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)
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hellaswag_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role="BOT",
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
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)
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hellaswag_datasets = [
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dict(
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type=hellaswagDataset_V2,
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path="hellaswag",
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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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