mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
54 lines
1.5 KiB
Python
54 lines
1.5 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
|
|
|
|
RTE_reader_cfg = dict(
|
|
input_columns=['hypothesis', 'premise'],
|
|
output_column='label',
|
|
test_split='train')
|
|
|
|
RTE_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template={
|
|
'entailment':
|
|
dict(round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt=
|
|
'{premise}\n{hypothesis}\nIs the sentence below entailed by the sentence above?'
|
|
),
|
|
dict(role='BOT', prompt='Yes'),
|
|
]),
|
|
'not_entailment':
|
|
dict(round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt=
|
|
'{premise}\n{hypothesis}\nIs the sentence below entailed by the sentence above?'
|
|
),
|
|
dict(role='BOT', prompt='No'),
|
|
])
|
|
},
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=PPLInferencer),
|
|
)
|
|
|
|
RTE_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
|
|
|
|
RTE_datasets = [
|
|
dict(
|
|
type=HFDataset,
|
|
abbr='RTE',
|
|
path='json',
|
|
data_files='./data/SuperGLUE/RTE/val.jsonl',
|
|
split='train',
|
|
reader_cfg=RTE_reader_cfg,
|
|
infer_cfg=RTE_infer_cfg,
|
|
eval_cfg=RTE_eval_cfg,
|
|
)
|
|
]
|