mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
41 lines
1.2 KiB
Python
41 lines
1.2 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 EMEvaluator, RougeEvaluator, SquadEvaluator
|
|
from opencompass.datasets import LEvalNaturalQuestionDataset
|
|
|
|
LEval_nq_reader_cfg = dict(
|
|
input_columns=['context', 'question'],
|
|
output_column='answer',
|
|
train_split='test',
|
|
test_split='test'
|
|
)
|
|
|
|
LEval_nq_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(
|
|
round=[
|
|
dict(role='HUMAN', prompt='{context}\nQuestion: {question}?\nAnswer:'),
|
|
dict(role='BOT', prompt=''),
|
|
], )),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer, max_out_len=50)
|
|
)
|
|
|
|
LEval_nq_eval_cfg = dict(
|
|
evaluator=dict(type=RougeEvaluator),
|
|
pred_role='BOT'
|
|
)
|
|
|
|
LEval_nq_datasets = [
|
|
dict(
|
|
type=LEvalNaturalQuestionDataset,
|
|
abbr='LEval_nq',
|
|
path='L4NLP/LEval',
|
|
name='natural_question',
|
|
reader_cfg=LEval_nq_reader_cfg,
|
|
infer_cfg=LEval_nq_infer_cfg,
|
|
eval_cfg=LEval_nq_eval_cfg)
|
|
]
|