OpenCompass/configs/datasets/gsm8k_contamination/gsm8k_contamination_ppl_ecdd22.py
2023-12-11 17:42:53 +08:00

58 lines
1.6 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 GSM8KDataset, GSM8KReferenceSkywork
gsm8k_datasets = []
gsm8k_infer_cfg = dict(
prompt_template=dict(type=PromptTemplate, template="{question} {answer}"),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLOnlyInferencer),
)
gsm8k_eval_cfg = dict(evaluator=dict(type=AveragePPLEvaluator))
for split in ['train', 'test']:
gsm8k_reader_cfg = dict(
input_columns=['question', 'answer'],
output_column=None,
train_split=split,
test_split=split,
)
gsm8k_datasets.append(
dict(
abbr=f'gsm8k-{split}-ppl',
type=GSM8KDataset,
path='./data/gsm8k',
reader_cfg=gsm8k_reader_cfg,
infer_cfg=gsm8k_infer_cfg,
eval_cfg=gsm8k_eval_cfg)
)
gsm8k_infer_cfg = dict(
prompt_template=dict(type=PromptTemplate, template="{text}"),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLOnlyInferencer),
)
gsm8k_eval_cfg = dict(evaluator=dict(type=AveragePPLEvaluator))
gsm8k_reader_cfg = dict(
input_columns=['text'],
output_column=None,
)
gsm8k_datasets.append(
dict(
abbr=f'gsm8k-ref-ppl',
type=GSM8KReferenceSkywork,
path='./data/gsm8k-extra/mock_gsm8k_test.jsonl',
reader_cfg=gsm8k_reader_cfg,
infer_cfg=gsm8k_infer_cfg,
eval_cfg=gsm8k_eval_cfg
)
)