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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 CluewscDataset
cluewsc_reader_cfg = dict(
input_columns=['span1', 'span2', 'text', 'new_text'],
output_column='answer')
cluewsc_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
0:
dict(round=[
dict(
role="HUMAN",
prompt=
"{text}\nHere, is the pronoun \"{span2}\" used to mean \"{span1}\"?"
),
dict(role="BOT", prompt="No.")
]),
1:
dict(round=[
dict(
role="HUMAN",
prompt=
"{text}\nHere, is the pronoun \"{span2}\" used to mean \"{span1}\"?"
),
dict(role="BOT", prompt="Yes.")
]),
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
cluewsc_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
cluewsc_datasets = [
dict(
type=CluewscDataset,
path='json',
abbr='cluewsc-dev',
data_files='./data/FewCLUE/cluewsc/dev_few_all.json',
split='train',
reader_cfg=cluewsc_reader_cfg,
infer_cfg=cluewsc_infer_cfg,
eval_cfg=cluewsc_eval_cfg),
dict(
type=CluewscDataset,
path='json',
abbr='cluewsc-test',
data_files='./data/FewCLUE/cluewsc/test_public.json',
split='train',
reader_cfg=cluewsc_reader_cfg,
infer_cfg=cluewsc_infer_cfg,
eval_cfg=cluewsc_eval_cfg),
]
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