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https://github.com/open-compass/opencompass.git
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689ffe5b63
* update commonsenseqa * update drop * update flores_first100 * update gsm8k * update humaneval * update lambda * update obqa * update piqa * update race * update siqa * update story_cloze * update strategyqa * update tydiqa * update winogrande * update doc * update hellaswag * fix obqa * update collections * update .zip name
49 lines
1.4 KiB
Python
49 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import RaceDataset
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race_reader_cfg = dict(
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input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
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output_column='answer',
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train_split="validation",
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test_split="test"
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)
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race_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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ans: dict(
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round=[
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dict(role="HUMAN", prompt="Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}"),
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dict(role="BOT", prompt=f'Answer: {ans}'),
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]
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)
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for ans in ['A', 'B', 'C', 'D']
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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race_datasets = [
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dict(
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abbr='race-middle',
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type=RaceDataset,
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path='./data/race',
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name='middle',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg),
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dict(
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abbr='race-high',
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type=RaceDataset,
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path='./data/race',
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name='high',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg)
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]
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