OpenCompass/opencompass/configs/datasets/FewCLUE_bustm/FewCLUE_bustm_ppl_e53034.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

60 lines
1.9 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 HFDataset
bustm_reader_cfg = dict(
input_columns=['sentence1', 'sentence2'],
output_column='label',
test_split='train')
bustm_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
0:
dict(round=[
dict(
role='HUMAN',
prompt=
'语句一:“{sentence1}\n语句二:“{sentence2}\n请判断语句一和语句二说的是否是一个意思?'
),
dict(role='BOT', prompt='两句话说的毫不相关。')
]),
1:
dict(round=[
dict(
role='HUMAN',
prompt=
'语句一:“{sentence1}\n语句二:“{sentence2}\n请判断语句一和语句二说的是否是一个意思?'
),
dict(role='BOT', prompt='两句话说是的一个意思。')
]),
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
bustm_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
bustm_datasets = [
dict(
type=HFDataset,
abbr='bustm-dev',
path='json',
data_files='./data/FewCLUE/bustm/dev_few_all.json',
split='train',
reader_cfg=bustm_reader_cfg,
infer_cfg=bustm_infer_cfg,
eval_cfg=bustm_eval_cfg),
dict(
type=HFDataset,
abbr='bustm-test',
path='json',
data_files='./data/FewCLUE/bustm/test_public.json',
split='train',
reader_cfg=bustm_reader_cfg,
infer_cfg=bustm_infer_cfg,
eval_cfg=bustm_eval_cfg)
]