| from opencompass.openicl.icl_prompt_template import PromptTemplate | |
| from opencompass.openicl.icl_retriever import ZeroRetriever | |
| from opencompass.openicl.icl_inferencer import AgentInferencer | |
| from opencompass.datasets import CIBenchDataset, CIBenchEvaluator | |
| cibench_reader_cfg = dict( | |
| input_columns=["questions"], | |
| output_column="references", | |
| train_split='test', | |
| test_split='test') | |
| cibench_infer_cfg = dict( | |
| prompt_template=dict( | |
| type=PromptTemplate, | |
| template="""{questions}""", | |
| ), | |
| retriever=dict(type=ZeroRetriever), | |
| inferencer=dict(type=AgentInferencer, infer_mode='every'), | |
| ) | |
| libs = ['Pandas', 'Matplotlib', 'Opencv', 'SciPy', 'Seaborn', 'PyTorch'] | |
| cibench_eval_cfg = dict(evaluator=dict(type=CIBenchEvaluator), pred_role="BOT") | |
| cibench_datasets = [ | |
| dict( | |
| abbr=f"cibench_generation_{lib}", | |
| type=CIBenchDataset, | |
| path=f"./data/cibench/{lib}", | |
| internet_check=False, | |
| reader_cfg=cibench_reader_cfg, | |
| infer_cfg=cibench_infer_cfg, | |
| eval_cfg=cibench_eval_cfg, | |
| ) for lib in libs | |
| ] | |