OpenCompass/configs/datasets/SuperGLUE_CB/SuperGLUE_CB_gen_854c6c.py

45 lines
1.3 KiB
Python
Raw Permalink Normal View History

2023-07-05 09:01:25 +08:00
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 CBDataset_V2
from opencompass.utils.text_postprocessors import first_option_postprocess
2023-07-05 09:01:25 +08:00
CB_reader_cfg = dict(
2024-05-14 15:35:58 +08:00
input_columns=['premise', 'hypothesis'],
output_column='label',
2023-07-05 09:01:25 +08:00
)
CB_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
round=[
dict(
2024-05-14 15:35:58 +08:00
role='HUMAN',
2023-07-05 09:01:25 +08:00
prompt=
2024-05-14 15:35:58 +08:00
'{premise}\n{hypothesis}\nWhat is the relation between the two sentences?\nA. Contradiction\nB. Entailment\nC. Neutral\nAnswer:'
2023-07-05 09:01:25 +08:00
),
], ),
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
CB_eval_cfg = dict(
evaluator=dict(type=AccEvaluator),
2024-05-14 15:35:58 +08:00
pred_role='BOT',
pred_postprocessor=dict(type=first_option_postprocess, options='ABC'),
2023-07-05 09:01:25 +08:00
)
CB_datasets = [
dict(
2024-05-14 15:35:58 +08:00
abbr='CB',
2023-07-05 09:01:25 +08:00
type=CBDataset_V2,
2024-05-14 15:35:58 +08:00
path='./data/SuperGLUE/CB/val.jsonl',
2023-07-05 09:01:25 +08:00
reader_cfg=CB_reader_cfg,
infer_cfg=CB_infer_cfg,
eval_cfg=CB_eval_cfg,
)
]