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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 CIBenchTemplateDataset, 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'),
)
# no tensorboard
libs = ['/lightgbm', '/matplotlib', '/nltk', '/opencv', '/pandas', '/pytorch',
'/scipy', '/seaborn', '/sklearn', '/tensorflow',
'_chinese/lightgbm', '_chinese/matplotlib', '_chinese/nltk',
'_chinese/opencv', '_chinese/pandas', '_chinese/pytorch',
'_chinese/scipy', '_chinese/seaborn', '_chinese/sklearn', '_chinese/tensorflow']
cibench_eval_cfg = dict(evaluator=dict(type=CIBenchEvaluator), pred_role="BOT")
cibench_datasets = [
dict(
abbr=f"cibench_template{lib}",
type=CIBenchTemplateDataset,
path=f"./data/cibench_dataset/cibench_template{lib}",
internet_check=False,
reader_cfg=cibench_reader_cfg,
infer_cfg=cibench_infer_cfg,
eval_cfg=cibench_eval_cfg,
) for lib in libs
]
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