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
31 lines
1.1 KiB
Python
31 lines
1.1 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.datasets import NaturalQuestionDataset, NQEvaluator
|
|
|
|
nq_reader_cfg = dict(
|
|
input_columns=['question'], output_column='answer', train_split='test')
|
|
|
|
nq_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(
|
|
round=[
|
|
dict(role='HUMAN', prompt='Answer these questions, your answer should be as simple as possible, start your answer with the prompt \'The answer is \'.\nQ: {question}?'),
|
|
dict(role='BOT', prompt='A:'),
|
|
], )),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer))
|
|
|
|
nq_eval_cfg = dict(evaluator=dict(type=NQEvaluator), pred_role='BOT')
|
|
|
|
nq_datasets = [
|
|
dict(
|
|
type=NaturalQuestionDataset,
|
|
abbr='nq',
|
|
path='opencompass/natural_question',
|
|
reader_cfg=nq_reader_cfg,
|
|
infer_cfg=nq_infer_cfg,
|
|
eval_cfg=nq_eval_cfg)
|
|
]
|