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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>
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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from opencompass.openicl.icl_inferencer import LLInferencer
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from opencompass.openicl.icl_evaluator import AccwithDetailsEvaluator
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from opencompass.datasets import WinograndeDatasetV3
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winogrande_reader_cfg = dict(
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input_columns=['opt1', 'opt2'],
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output_column='answer',
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train_split='train_xs',
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test_split='dev',
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)
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question_and_options = 'Which of the following is a good sentence:\nA. {opt1}\nB. {opt2}'
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winogrande_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={'A': '{opt1}', 'B': '{opt2}'},
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),
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prompt_template=dict(
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type=PromptTemplate,
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template={'A': '</E>{opt1}', 'B': '</E>{opt2}'},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=LLInferencer),
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)
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winogrande_eval_cfg = dict(evaluator=dict(type=AccwithDetailsEvaluator))
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winogrande_datasets = [
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dict(
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abbr='winogrande',
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type=WinograndeDatasetV3,
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path='opencompass/winogrande',
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reader_cfg=winogrande_reader_cfg,
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infer_cfg=winogrande_infer_cfg,
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eval_cfg=winogrande_eval_cfg)
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]
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