OpenCompass/configs/datasets/humaneval_plus/humaneval_plus_gen_66a7f4.py

36 lines
1.3 KiB
Python

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 HumanevalDataset, HumanEvalPlusEvaluator, humaneval_postprocess_v2
humaneval_plus_reader_cfg = dict(input_columns=['prompt'], output_column='task_id', train_split='test')
HUMANEVAL_TEMPLATE = dict(
round=[
dict(role='HUMAN', prompt='You are an intelligent programming assistant to produce Python algorithmic solutions.\nCan you complete the following Python function?\n```python\n{prompt}\n```'),
]
)
humaneval_plus_infer_cfg = dict(
prompt_template=dict(type=PromptTemplate, template=HUMANEVAL_TEMPLATE),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024),
)
humaneval_plus_eval_cfg = dict(
evaluator=dict(type=HumanEvalPlusEvaluator),
k=[1, 10, 100],
pred_postprocessor=dict(type=humaneval_postprocess_v2),
)
humaneval_plus_datasets = [
dict(
abbr='humaneval_plus',
type=HumanevalDataset,
path='./data/humaneval/human-eval-v2-20210705.jsonl',
reader_cfg=humaneval_plus_reader_cfg,
infer_cfg=humaneval_plus_infer_cfg,
eval_cfg=humaneval_plus_eval_cfg,
)
]