OpenCompass/configs/datasets/CLUE_afqmc/CLUE_afqmc_ppl_378c5b.py
Tong Gao 16e759b996
Align prompt files with their hash (#1)
* fix bbh

* fix bbh

* rename
2023-07-05 18:28:58 +08:00

45 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 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:
dict(round=[
dict(
role="HUMAN", prompt="{sentence1}”与“{sentence2}”不同还是相似?"),
dict(role="BOT", prompt="不同。")
]),
1:
dict(round=[
dict(
role="HUMAN", prompt="{sentence1}”与“{sentence2}”不同还是相似?"),
dict(role="BOT", prompt="相似")
]),
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
afqmc_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
afqmc_datasets = [
dict(
type=HFDataset,
abbr='afqmc-dev',
path='json',
data_files='./data/CLUE/AFQMC/dev.json',
split='train',
reader_cfg=afqmc_reader_cfg,
infer_cfg=afqmc_infer_cfg,
eval_cfg=afqmc_eval_cfg),
]