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31 lines
988 B
Python
31 lines
988 B
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 GenInferencer
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from opencompass.datasets import NaturalQuestionDataset, NQEvaluator
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nq_reader_cfg = dict(
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input_columns=['question'], output_column='answer', train_split='test')
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nq_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='Answer these questions:\nQ: {question}?'),
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dict(role='BOT', prompt='A:'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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nq_eval_cfg = dict(evaluator=dict(type=NQEvaluator), pred_role="BOT")
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nq_datasets = [
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dict(
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type=NaturalQuestionDataset,
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abbr='nq',
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path='./data/nq/',
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reader_cfg=nq_reader_cfg,
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infer_cfg=nq_infer_cfg,
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eval_cfg=nq_eval_cfg)
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]
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