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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
36 lines
1.1 KiB
Python
36 lines
1.1 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 AgentInferencer
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from opencompass.datasets import CIBenchDataset, CIBenchEvaluator
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cibench_reader_cfg = dict(
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input_columns=['questions'],
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output_column='references',
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train_split='test',
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test_split='test')
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cibench_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template="""{questions}""",
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=AgentInferencer, infer_mode='every'),
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)
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libs = ['matplotlib', 'opencv', 'pandas', 'pytorch', 'scipy', 'seaborn']
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cibench_eval_cfg = dict(evaluator=dict(type=CIBenchEvaluator), pred_role='BOT')
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cibench_datasets = [
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dict(
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abbr=f'cibench_generation/{lib}',
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type=CIBenchDataset,
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path=f'./data/cibench_dataset/cibench_generation/{lib}',
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internet_check=False,
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reader_cfg=cibench_reader_cfg,
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infer_cfg=cibench_infer_cfg,
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eval_cfg=cibench_eval_cfg,
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) for lib in libs
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]
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