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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 BleuEvaluator
from opencompass . datasets import Py150Dataset
[Feature] Support ModelScope datasets (#1289)
* 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>
2024-07-29 13:48:32 +08:00
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from opencompass . utils . text_postprocessors import first_capital_postprocess
py150_reader_cfg = dict (
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input_columns = ' input ' ,
output_column = ' gt ' ,
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)
py150_infer_cfg = dict (
prompt_template = dict (
type = PromptTemplate ,
template = dict (
round = [
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dict ( role = ' HUMAN ' , prompt = " I will give you a part of python code. Please write down what the next line of code is. Note that you only need to give the next line of code, and you don ' t need to give any other reply. \n Code: {input} \n Next line: " ) ,
dict ( role = ' BOT ' , prompt = ' {gt} ' ) ,
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]
) ,
) ,
retriever = dict ( type = ZeroRetriever ) ,
inferencer = dict ( type = GenInferencer ) ,
)
py150_eval_cfg = dict ( evaluator = dict ( type = BleuEvaluator ) ,
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pred_role = ' BOT '
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)
py150_datasets = [
dict (
type = Py150Dataset ,
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abbr = f ' py150 ' ,
path = f ' data/py150/test.json ' ,
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reader_cfg = py150_reader_cfg ,
infer_cfg = py150_infer_cfg ,
eval_cfg = py150_eval_cfg ,
)
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]