OpenCompass/opencompass/configs/datasets/SuperGLUE_BoolQ/SuperGLUE_BoolQ_ppl_4da4db.py
Linchen Xiao 245664f4c0
[Feature] Fullbench v0.1 language update (#1463)
* update

* update

* update

* update
2024-08-28 14:01:05 +08:00

46 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 PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import BoolQDataset
BoolQ_reader_cfg = dict(
input_columns=['question', 'passage'],
output_column='answer',
test_split='train')
BoolQ_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
0:
dict(round=[
dict(role='HUMAN', prompt='{passage}\nQuestion: {question}'),
dict(role='BOT', prompt='No.'),
]),
1:
dict(round=[
dict(role='HUMAN', prompt='{passage}\nQuestion: {question}'),
dict(role='BOT', prompt='Yes.'),
]),
},
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer),
)
BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
BoolQ_datasets = [
dict(
type=BoolQDataset,
abbr='BoolQ',
path='json',
data_files='opencompass/boolq',
split='train',
reader_cfg=BoolQ_reader_cfg,
infer_cfg=BoolQ_infer_cfg,
eval_cfg=BoolQ_eval_cfg,
)
]