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46cc7894e1
* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.datasets import TriviaQADatasetV2, TriviaQAEvaluator
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triviaqa_datasets = []
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for k in [1]:
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triviaqa_reader_cfg = dict(
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input_columns=['question'], output_column='answer', train_split='train', test_split='validation')
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if k == 0:
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triviaqa_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template='Q: {question}\nA: ',
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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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)
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else:
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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: {question}\nA: {answer}.\n',
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),
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prompt_template=dict(
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type=PromptTemplate,
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template='</E>Q: {question}\nA: ',
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=list(range(k))),
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inferencer=dict(type=GenInferencer, max_out_len=50, stopping_criteria=['Q:', '\n']),
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)
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triviaqa_eval_cfg = dict(evaluator=dict(type=TriviaQAEvaluator), pred_role='BOT')
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triviaqa_datasets.append(
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dict(
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type=TriviaQADatasetV2,
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abbr=f'triviaqa_wiki_{k}shot',
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path='opencompass/trivia_qa',
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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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