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33 lines
1.2 KiB
Python
33 lines
1.2 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 import SQuAD20Dataset, SQuAD20Evaluator
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squad20_reader_cfg = dict(
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input_columns=['context', 'question'],
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output_column='answers')
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squad20_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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round=[
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dict(role='HUMAN', prompt='{context}\nAccording to the above passage, answer the following question. If it is impossible to answer according to the passage, answer `impossible to answer`:\nQuestion: {question}'),
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dict(role='BOT', prompt='Answer:'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=50))
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squad20_eval_cfg = dict(
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evaluator=dict(type=SQuAD20Evaluator), pred_role='BOT')
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squad20_datasets = [
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dict(
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type=SQuAD20Dataset,
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abbr='squad2.0',
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path='./data/SQuAD2.0/dev-v2.0.json',
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reader_cfg=squad20_reader_cfg,
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infer_cfg=squad20_infer_cfg,
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eval_cfg=squad20_eval_cfg)
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]
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