OpenCompass/opencompass/configs/datasets/QuALITY/QuALITY_gen_c407cb.py
Songyang Zhang 46cc7894e1
[Feature] Support import configs/models/summarizers from whl (#1376)
* [Feature] Support import configs/models/summarizers from whl

* Update LCBench configs

* Update

* Update

* Update

* Update

* update

* Update

* Update

* Update

* Update

* Update
2024-08-01 00:42:48 +08:00

39 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.datasets import QuALITYDataset, QuALITYEvaluator
from opencompass.utils.text_postprocessors import first_option_postprocess
QuALITY_reader_cfg = dict(
input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
output_column='gold_label',
)
QuALITY_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(
role='HUMAN',
prompt=
'Read the article, and answer the question.\n\nArticle:\n{article}\n\nQ: {question}\n\nA. {A}\nB. {B}\nC. {C}\nD. {D}'
),
])),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer))
QuALITY_eval_cfg = dict(
evaluator=dict(type=QuALITYEvaluator),
pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
pred_role='BOT')
QuALITY_datasets = [
dict(
abbr='QuALITY',
type=QuALITYDataset,
path='./data/QuALITY/QuALITY.v1.0.1.htmlstripped.dev',
reader_cfg=QuALITY_reader_cfg,
infer_cfg=QuALITY_infer_cfg,
eval_cfg=QuALITY_eval_cfg),
]