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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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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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