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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 HFDataset
bustm_reader_cfg = dict(
input_columns=['sentence1', 'sentence2'],
output_column='label',
test_split='train')
bustm_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
0:
dict(
begin=[
dict(
role='SYSTEM',
fallback_role='HUMAN',
prompt="请判断以下两句话说的是否是一个意思：")
],
round=[
dict(role="HUMAN", prompt="{sentence1}，{sentence2}"),
dict(role="BOT", prompt="两句话说的毫不相关。")
]),
1:
dict(
begin=[
dict(
role='SYSTEM',
fallback_role='HUMAN',
prompt="请判断以下两句话说的是否是一个意思：")
],
round=[
dict(role="HUMAN", prompt="{sentence1}，{sentence2}"),
dict(role="BOT", prompt="两句话说是的一个意思。")
]),
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
bustm_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
bustm_datasets = [
dict(
type=HFDataset,
abbr='bustm-dev',
path='json',
data_files='./data/FewCLUE/bustm/dev_few_all.json',
split='train',
reader_cfg=bustm_reader_cfg,
infer_cfg=bustm_infer_cfg,
eval_cfg=bustm_eval_cfg),
dict(
type=HFDataset,
abbr='bustm-test',
path='json',
data_files='./data/FewCLUE/bustm/test_public.json',
split='train',
reader_cfg=bustm_reader_cfg,
infer_cfg=bustm_infer_cfg,
eval_cfg=bustm_eval_cfg)
]
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