OpenCompass/configs/datasets/CIBench/CIBench_gen_eb42f9.py

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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 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),
)
libs = ['Pandas', 'Matplotlib', 'Opencv', 'SciPy', 'Seaborn', 'PyTorch']
cibench_eval_cfg = {
lib: dict(
evaluator=dict(
type=CIBenchEvaluator,
output_dir=f'output_data/cibench/{lib}'),
pred_role="BOT",
)
for lib in libs
}
cibench_datasets = [
dict(
abbr=f"cibench_{lib}",
type=CIBenchDataset,
path=f"./data/cibench/{lib}",
reader_cfg=cibench_reader_cfg,
infer_cfg=cibench_infer_cfg,
eval_cfg=cibench_eval_cfg[lib],
) for lib in libs
]