OpenCompass/configs/datasets/FewCLUE_chid/FewCLUE_chid_ppl_8f2872.py
2024-05-14 15:35:58 +08:00

46 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 PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import CHIDDataset
chid_reader_cfg = dict(
input_columns=[f'content{i}' for i in range(7)], output_column='answer')
chid_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
i: dict(
round=[
dict(role='HUMAN', prompt=f'以下句子是否通顺?\n{{content{i}}}'),
dict(role='BOT', prompt='这个句子是通顺的。'),
], )
for i in range(7)
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
chid_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
chid_datasets = [
dict(
type=CHIDDataset,
path='json',
abbr='chid-dev',
data_files='./data/FewCLUE/chid/dev_few_all.json',
split='train',
reader_cfg=chid_reader_cfg,
infer_cfg=chid_infer_cfg,
eval_cfg=chid_eval_cfg),
dict(
type=CHIDDataset,
path='json',
abbr='chid-test',
data_files='./data/FewCLUE/chid/test_public.json',
split='train',
reader_cfg=chid_reader_cfg,
infer_cfg=chid_infer_cfg,
eval_cfg=chid_eval_cfg),
]