mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
39 lines
1.4 KiB
Python
39 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 PPLInferencer
|
||
from opencompass.openicl.icl_evaluator import AccEvaluator
|
||
from opencompass.datasets import HFDataset
|
||
|
||
cmnli_reader_cfg = dict(
|
||
input_columns=['sentence1', 'sentence2'],
|
||
output_column='label',
|
||
test_split='train')
|
||
|
||
cmnli_infer_cfg = dict(
|
||
prompt_template=dict(
|
||
type=PromptTemplate,
|
||
template={
|
||
'contradiction':
|
||
'{sentence1}\nKeeping in mind the above text, consider: {sentence2}？\nIs this "always", "sometimes", or "never" correct? [MASK]never',
|
||
'entailment':
|
||
'{sentence1}\nKeeping in mind the above text, consider: {sentence2}？\nIs this "always", "sometimes", or "never" correct? [MASK]always',
|
||
'neutral':
|
||
'{sentence1}\nKeeping in mind the above text, consider: {sentence2}？\nIs this "always", "sometimes", or "never" correct? [MASK]sometimes'
|
||
}),
|
||
retriever=dict(type=ZeroRetriever),
|
||
inferencer=dict(type=PPLInferencer))
|
||
|
||
cmnli_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
|
||
|
||
cmnli_datasets = [
|
||
dict(
|
||
type=HFDataset,
|
||
abbr='cmnli',
|
||
path='json',
|
||
split='train',
|
||
data_files='./data/CLUE/cmnli/cmnli_public/dev.json',
|
||
reader_cfg=cmnli_reader_cfg,
|
||
infer_cfg=cmnli_infer_cfg,
|
||
eval_cfg=cmnli_eval_cfg)
|
||
]
|