OpenCompass/configs/datasets/SuperGLUE_MultiRC/SuperGLUE_MultiRC_ppl_83a304.py
2023-07-05 03:15:31 +00:00

48 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 MultiRCDataset
MultiRC_reader_cfg = dict(
input_columns=["question", "text", "answer"],
output_column="label",
)
MultiRC_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
0:
dict(round=[
dict(
role="HUMAN",
prompt="{text}\nQuestion: {question}\nAnswer: {answer}\nIs it true?"),
dict(role="BOT", prompt="No, it is false."),
]),
1:
dict(round=[
dict(
role="HUMAN",
prompt="{text}\nQuestion: {question}\nAnswer: {answer}\nIs it true?"),
dict(role="BOT", prompt="Yes, it is true."),
]),
},
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer),
)
MultiRC_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
MultiRC_datasets = [
dict(
type=MultiRCDataset,
abbr="MultiRC",
path="./data/SuperGLUE/MultiRC/val.jsonl",
reader_cfg=MultiRC_reader_cfg,
infer_cfg=MultiRC_infer_cfg,
eval_cfg=MultiRC_eval_cfg,
)
]