OpenCompass/opencompass/configs/datasets/contamination/mmlu_contamination_ppl_810ec6.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

56 lines
1.5 KiB
Python

from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import PPLOnlyInferencer
from opencompass.openicl.icl_evaluator import AveragePPLEvaluator
from opencompass.datasets import JsonlDataset
mmlu_datasets = []
mmlu_infer_cfg = dict(
prompt_template=dict(type=PromptTemplate, template='{text}'),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLOnlyInferencer),
)
mmlu_eval_cfg = dict(evaluator=dict(type=AveragePPLEvaluator))
mmlu_reader_cfg = dict(
input_columns=['text'],
output_column=None,
)
mmlu_datasets.append(
dict(
abbr=f'mmlu-test-ppl',
type=JsonlDataset,
path='/mnt/petrelfs/zhoufengzhe/repos/cscripts/mock-datas/mmlu_test_content.jsonl',
reader_cfg=mmlu_reader_cfg,
infer_cfg=mmlu_infer_cfg,
eval_cfg=mmlu_eval_cfg
)
)
mmlu_infer_cfg = dict(
prompt_template=dict(type=PromptTemplate, template='{rephrase}'),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLOnlyInferencer),
)
mmlu_eval_cfg = dict(evaluator=dict(type=AveragePPLEvaluator))
mmlu_reader_cfg = dict(
input_columns=['rephrase'],
output_column=None,
)
mmlu_datasets.append(
dict(
abbr=f'mmlu-ref-ppl',
type=JsonlDataset,
path='/mnt/petrelfs/zhoufengzhe/repos/cscripts/mock-datas/mmlu_test_content.jsonl',
reader_cfg=mmlu_reader_cfg,
infer_cfg=mmlu_infer_cfg,
eval_cfg=mmlu_eval_cfg
)
)