OpenCompass/configs/datasets/glm/humaneval.py
Tong Gao 2931f3dcb8
[Enhancement] Add humaneval postprocessor for GPT models & eval config for GPT4, enhance the original humaneval postprocessor (#129)
* [Enhancement] Enhance humaneval postprocessor

* add human-eval testcase

* update

* update

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Co-authored-by: Leymore <zfz-960727@163.com>
2023-08-10 16:31:12 +08:00

31 lines
998 B
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 HFDataset, HumanEvaluator, humaneval_postprocess
humaneval_reader_cfg = dict(
input_columns=['prompt'], output_column='task_id', train_split='test')
# TODO: allow empty output-column
humaneval_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template='{prompt}'),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer))
humaneval_eval_cfg = dict(
evaluator=dict(type=HumanEvaluator),
k=[1, 10, 100], # the parameter only for humaneval
pred_postprocessor=dict(type=humaneval_postprocess),
)
humaneval_datasets = [
dict(
type=HFDataset,
path='openai_humaneval',
reader_cfg=humaneval_reader_cfg,
infer_cfg=humaneval_infer_cfg,
eval_cfg=humaneval_eval_cfg)
]