mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
43 lines
1.4 KiB
Python
43 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 GenInferencer
|
||
|
|
from opencompass.openicl.icl_evaluator import EMEvaluator, RougeEvaluator, SquadEvaluator, AccEvaluator
|
||
|
|
from opencompass.datasets import LEvalCourseraDataset
|
||
|
|
from opencompass.utils.text_postprocessors import first_capital_postprocess, first_capital_postprocess_multi
|
||
|
|
|
||
|
|
LEval_coursera_reader_cfg = dict(
|
||
|
|
input_columns=['context', 'question'],
|
||
|
|
output_column='answer',
|
||
|
|
train_split='test',
|
||
|
|
test_split='test'
|
||
|
|
)
|
||
|
|
|
||
|
|
LEval_coursera_infer_cfg = dict(
|
||
|
|
prompt_template=dict(
|
||
|
|
type=PromptTemplate,
|
||
|
|
template=dict(
|
||
|
|
round=[
|
||
|
|
dict(role='HUMAN', prompt='{context}\n{question}\nAnswer:'),
|
||
|
|
dict(role='BOT', prompt=''),
|
||
|
|
], )),
|
||
|
|
retriever=dict(type=ZeroRetriever),
|
||
|
|
inferencer=dict(type=GenInferencer, max_out_len=10)
|
||
|
|
)
|
||
|
|
|
||
|
|
LEval_coursera_eval_cfg = dict(
|
||
|
|
evaluator=dict(type=AccEvaluator),
|
||
|
|
pred_postprocessor=dict(type=first_capital_postprocess_multi),
|
||
|
|
pred_role='BOT'
|
||
|
|
)
|
||
|
|
|
||
|
|
LEval_coursera_datasets = [
|
||
|
|
dict(
|
||
|
|
type=LEvalCourseraDataset,
|
||
|
|
abbr='LEval_coursera',
|
||
|
|
path='L4NLP/LEval',
|
||
|
|
name='coursera',
|
||
|
|
reader_cfg=LEval_coursera_reader_cfg,
|
||
|
|
infer_cfg=LEval_coursera_infer_cfg,
|
||
|
|
eval_cfg=LEval_coursera_eval_cfg)
|
||
|
|
]
|