File size: 1,415 Bytes
256a159 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import C3Dataset_V2
from opencompass.utils.text_postprocessors import first_capital_postprocess
C3_reader_cfg = dict(
input_columns=[
"question",
"content",
"choice0",
"choice1",
"choice2",
"choice3",
"choices",
],
output_column="label",
)
C3_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(
role="HUMAN",
prompt=
"{content}\n问:{question}\nA. {choice0}\nB. {choice1}\nC. {choice2}\nD. {choice3}\n请从“A”,“B”,“C”,“D”中进行选择。\n答:",
),
]),
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
C3_eval_cfg = dict(
evaluator=dict(type=AccEvaluator),
pred_role="BOT",
pred_postprocessor=dict(type=first_capital_postprocess),
)
C3_datasets = [
dict(
abbr="C3",
type=C3Dataset_V2,
path="./data/CLUE/C3/dev_0.json",
reader_cfg=C3_reader_cfg,
infer_cfg=C3_infer_cfg,
eval_cfg=C3_eval_cfg,
)
]
|