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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 GenInferencer
from opencompass.datasets import HFDataset, HumanEvaluator, humaneval_postprocess
apps_reader_cfg = dict(
input_columns=['question'], output_column='problem_id', train_split='test')
# TODO: allow empty output-column
apps_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
begin=[
dict(
role='SYSTEM',
fallback_role='HUMAN',
prompt='Write a python program:'),
],
round=[
dict(role='HUMAN', prompt='{question}'),
])),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer))
apps_eval_cfg = dict(
evaluator=dict(type=HumanEvaluator),
pred_role='BOT',
k=[1, 10, 100], # the parameter only for humaneval
pred_postprocessor=dict(type=humaneval_postprocess),
)
apps_datasets = [
dict(
type=HFDataset,
path='codeparrot/apps',
reader_cfg=apps_reader_cfg,
infer_cfg=apps_infer_cfg,
eval_cfg=apps_eval_cfg)
]
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