OpenCompass/configs/datasets/winogrande/winogrande_gen_a9ede5.py
Fengzhe Zhou 689ffe5b63
[Feature] Use dataset in local path (#570)
* update commonsenseqa

* update drop

* update flores_first100

* update gsm8k

* update humaneval

* update lambda

* update obqa

* update piqa

* update race

* update siqa

* update story_cloze

* update strategyqa

* update tydiqa

* update winogrande

* update doc

* update hellaswag

* fix obqa

* update collections

* update .zip name
2023-11-13 13:00:37 +08:00

44 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 GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import winograndeDataset_V2
from opencompass.utils.text_postprocessors import first_option_postprocess
winogrande_reader_cfg = dict(
input_columns=["opt1", "opt2"],
output_column="answer",
)
winogrande_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(
role="HUMAN",
prompt=
"Which of the following is a good sentence:\nA. {opt1}\nB. {opt2}\nAnswer:"
),
]),
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
winogrande_eval_cfg = dict(
evaluator=dict(type=AccEvaluator),
pred_role="BOT",
pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
)
winogrande_datasets = [
dict(
abbr="winogrande",
type=winograndeDataset_V2,
path='./data/winogrande',
reader_cfg=winogrande_reader_cfg,
infer_cfg=winogrande_infer_cfg,
eval_cfg=winogrande_eval_cfg,
)
]