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41 lines
1.4 KiB
Python
41 lines
1.4 KiB
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 AgentInferencer
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from opencompass.datasets import CIBenchTemplateDataset, 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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# no tensorboard
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libs = ['/lightgbm', '/matplotlib', '/nltk', '/opencv', '/pandas', '/pytorch',
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'/scipy', '/seaborn', '/sklearn', '/tensorflow',
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'_chinese/lightgbm', '_chinese/matplotlib', '_chinese/nltk',
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'_chinese/opencv', '_chinese/pandas', '_chinese/pytorch',
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'_chinese/scipy', '_chinese/seaborn', '_chinese/sklearn', '_chinese/tensorflow']
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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_template{lib}",
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type=CIBenchTemplateDataset,
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path=f"./data/cibench_dataset/cibench_template{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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