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42 lines
1.2 KiB
Python
42 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 TriviaQADataset, TriviaQAEvaluator
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triviaqa_reader_cfg = dict(
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input_columns=['question'],
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output_column='answer',
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train_split='dev',
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test_split='dev')
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triviaqa_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template='Q: </Q>\nA: </A>',
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column_token_map={
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'question': '</Q>',
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'answer': '</A>'
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}),
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prompt_template=dict(
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type=PromptTemplate,
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template='</E>Question: </Q> Answer:',
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column_token_map={
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'question': '</Q>',
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'answer': '</A>'
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},
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ice_token='</E>'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=50))
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triviaqa_eval_cfg = dict(evaluator=dict(type=TriviaQAEvaluator))
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triviaqa_datasets = [
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dict(
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type=TriviaQADataset,
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abbr='triviaqa',
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path='./data/triviaqa/',
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reader_cfg=triviaqa_reader_cfg,
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infer_cfg=triviaqa_infer_cfg,
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eval_cfg=triviaqa_eval_cfg)
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]
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