mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
45 lines
1.3 KiB
Python
45 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 GenInferencer
|
|
from opencompass.openicl.icl_evaluator import AccEvaluator
|
|
from opencompass.datasets import CBDataset_V2
|
|
from opencompass.utils.text_postprocessors import first_option_postprocess
|
|
|
|
CB_reader_cfg = dict(
|
|
input_columns=['premise', 'hypothesis'],
|
|
output_column='label',
|
|
)
|
|
|
|
CB_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(
|
|
round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt=
|
|
'{premise}\n{hypothesis}\nWhat is the relation between the two sentences?\nA. Contradiction\nB. Entailment\nC. Neutral\nAnswer:'
|
|
),
|
|
], ),
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer),
|
|
)
|
|
|
|
CB_eval_cfg = dict(
|
|
evaluator=dict(type=AccEvaluator),
|
|
pred_role='BOT',
|
|
pred_postprocessor=dict(type=first_option_postprocess, options='ABC'),
|
|
)
|
|
|
|
CB_datasets = [
|
|
dict(
|
|
abbr='CB',
|
|
type=CBDataset_V2,
|
|
path='./data/SuperGLUE/CB/val.jsonl',
|
|
reader_cfg=CB_reader_cfg,
|
|
infer_cfg=CB_infer_cfg,
|
|
eval_cfg=CB_eval_cfg,
|
|
)
|
|
]
|