OpenCompass/configs/datasets/glm/afqmc.py
2023-07-04 21:34:55 +08:00

39 lines
1.3 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 HFDataset
afqmc_reader_cfg = dict(
input_columns=['sentence1', 'sentence2'],
output_column='label',
test_split='train')
afqmc_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
# 0: "{sentence1},{sentence2}不同。",
# 1: "{sentence1},{sentence2}相似。"
0:
"I received the questions \"{sentence1}\" and \"{sentence2}\". Are they duplicates?[MASK]no",
1:
"I received the questions \"{sentence1}\" and \"{sentence2}\". Are they duplicates?[MASK]yes",
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
afqmc_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
afqmc_datasets = [
dict(
type=HFDataset,
abbr='afqmc',
path='json',
data_files='./data/CLUE/AFQMC/test_public.json',
split='train',
reader_cfg=afqmc_reader_cfg,
infer_cfg=afqmc_infer_cfg,
eval_cfg=afqmc_eval_cfg)
]