OpenCompass/configs/datasets/obqa/obqa_ppl_6aac9e.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

42 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 OBQADataset_V2
obqa_reader_cfg = dict(
input_columns=['question_stem', 'A', 'B', 'C', 'D', 'fact1'],
output_column="answerKey"
)
obqa_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
ans: dict(
round=[
dict(
role="HUMAN",
prompt="We know the fact that {fact1}.\nQuestion: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\n"
),
dict(role="BOT", prompt=f"Answer: {ans}"),
], )
for ans in ['A', 'B', 'C', 'D']
}
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer),
)
obqa_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
obqa_datasets = [
dict(
abbr='openbookqa_fact',
type=OBQADataset_V2,
path='./data/openbookqa/Additional/test_complete.jsonl',
reader_cfg=obqa_reader_cfg,
infer_cfg=obqa_infer_cfg,
eval_cfg=obqa_eval_cfg,
),
]