mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
46cc7894e1
* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
43 lines
1.3 KiB
Python
43 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 OBQADatasetV2
|
|
|
|
obqa_reader_cfg = dict(
|
|
input_columns=['question_stem', 'A', 'B', 'C', 'D', 'fact1'],
|
|
output_column='answerKey'
|
|
)
|
|
obqa_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template={
|
|
ans: dict(
|
|
round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt='We know the fact that {fact1}.\nQuestion: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\n'
|
|
),
|
|
dict(role='BOT', prompt=f'Answer: {ans}'),
|
|
], )
|
|
for ans in ['A', 'B', 'C', 'D']
|
|
}
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=PPLInferencer),
|
|
)
|
|
obqa_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
|
|
|
|
|
|
obqa_datasets = [
|
|
dict(
|
|
abbr='openbookqa_fact',
|
|
type=OBQADatasetV2,
|
|
path='opencompass/openbookqa_fact',
|
|
name='additional',
|
|
reader_cfg=obqa_reader_cfg,
|
|
infer_cfg=obqa_infer_cfg,
|
|
eval_cfg=obqa_eval_cfg,
|
|
),
|
|
]
|