mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
edab1c07ba
* add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * udpate dataset for modelscope support * update readme * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * update readme * remove tydiqa japanese subset * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * update readme * udpate dataset for modelscope support * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * remove tydiqa japanese subset * update util * remove .DS_Store * fix md format * move util into package * update docs/get_started.md * restore eval_api_zhipu_v2.py, add environment setting * Update dataset * Update * Update * Update * Update --------- Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local> Co-authored-by: Yunnglin <mao.looper@qq.com> Co-authored-by: Yun lin <yunlin@laptop.local> Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn> Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
|
|
from opencompass.openicl.icl_retriever import ZeroRetriever
|
|
from opencompass.openicl.icl_inferencer import AttackInferencer
|
|
from opencompass.datasets import MATHDataset, MATHEvaluator, math_postprocess
|
|
|
|
math_reader_cfg = dict(input_columns=['problem'], output_column='solution')
|
|
|
|
original_prompt_list = [
|
|
'Solve the following math question about',
|
|
'Determine the solution to this mathematical problem related to',
|
|
'Calculate the answer to the following math query about',
|
|
'Find the solution for this mathematical challenge with',
|
|
'Compute the result of this math task concerning',
|
|
'Resolve the following mathematical question associated with',
|
|
'Work out the answer to this math problem featuring',
|
|
'Figure out the solution for the following mathematical task with',
|
|
'Obtain the result for this math question regarding',
|
|
'Evaluate the following mathematical problem that includes',
|
|
]
|
|
|
|
math_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt='{adv_prompt} {problem}:'),
|
|
]),
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=AttackInferencer, original_prompt_list=original_prompt_list,max_out_len=512, adv_key='adv_prompt'))
|
|
|
|
math_eval_cfg = dict(
|
|
evaluator=dict(type=MATHEvaluator), pred_postprocessor=dict(type=math_postprocess))
|
|
|
|
math_datasets = [
|
|
dict(
|
|
type=MATHDataset,
|
|
abbr='math',
|
|
path='opencompass/math',
|
|
reader_cfg=math_reader_cfg,
|
|
infer_cfg=math_infer_cfg,
|
|
eval_cfg=math_eval_cfg)
|
|
]
|