OpenCompass/opencompass/configs/datasets/hellaswag/hellaswag_gen_6faab5.py
Songyang Zhang 46cc7894e1
[Feature] Support import configs/models/summarizers from whl (#1376)
* [Feature] Support import configs/models/summarizers from whl

* Update LCBench configs

* Update

* Update

* Update

* Update

* update

* Update

* Update

* Update

* Update

* Update
2024-08-01 00:42:48 +08:00

45 lines
1.4 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.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import HellaswagDataset_V2
from opencompass.utils.text_postprocessors import first_option_postprocess
hellaswag_reader_cfg = dict(
input_columns=['ctx', 'A', 'B', 'C', 'D'],
output_column='label',
)
hellaswag_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(
role='HUMAN',
prompt=('{ctx}\nQuestion: Which ending makes the most sense?\n'
'A. {A}\nB. {B}\nC. {C}\nD. {D}\n'
"You may choose from 'A', 'B', 'C', 'D'.\n"
'Answer:'),
),
]),
),
retriever=dict(type=ZeroRetriever, ),
inferencer=dict(type=GenInferencer),
)
hellaswag_eval_cfg = dict(
evaluator=dict(type=AccEvaluator),
pred_role='BOT',
pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
)
hellaswag_datasets = [
dict(
abbr='hellaswag',
type=HellaswagDataset_V2,
path='opencompass/hellaswag',
reader_cfg=hellaswag_reader_cfg,
infer_cfg=hellaswag_infer_cfg,
eval_cfg=hellaswag_eval_cfg)
]