OpenCompass/configs/datasets/ARC_c/ARC_c_few_shot_ppl.py

64 lines
1.9 KiB
Python

from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
from opencompass.openicl.icl_inferencer import PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import ARCDataset
ARC_c_reader_cfg = dict(
input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
output_column='answerKey',
)
ARC_c_infer_cfg = dict(
ice_template=dict(
type=PromptTemplate,
template={
'A': dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
dict(role='BOT', prompt='{textA}'),
],
),
'B': dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
dict(role='BOT', prompt='{textB}'),
],
),
'C': dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
dict(role='BOT', prompt='{textC}'),
],
),
'D': dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
dict(role='BOT', prompt='{textD}'),
],
),
},
ice_token='</E>',
),
retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
inferencer=dict(type=PPLInferencer),
)
ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
ARC_c_datasets = [
dict(
type=ARCDataset,
abbr='ARC-c',
path='opencompass/ai2_arc-dev',
name='ARC-Challenge',
reader_cfg=ARC_c_reader_cfg,
infer_cfg=ARC_c_infer_cfg,
eval_cfg=ARC_c_eval_cfg,
)
]