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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>
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import ARCDataset
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ARC_e_reader_cfg = dict(
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
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output_column='answerKey')
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ARC_e_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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opt: dict(
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round=[
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dict(role='HUMAN', prompt=f'{{question}}\nA. {{textA}}\nB. {{textB}}\nC. {{textC}}\nD. {{textD}}'),
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dict(role='BOT', prompt=f'Answer: {opt}'),
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]
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) for opt in ['A', 'B', 'C', 'D']
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},
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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ARC_e_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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ARC_e_datasets = [
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dict(
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type=ARCDataset,
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abbr='ARC-e',
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path='opencompass/ai2_arc-easy-dev',
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name='ARC-Easy',
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reader_cfg=ARC_e_reader_cfg,
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infer_cfg=ARC_e_infer_cfg,
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eval_cfg=ARC_e_eval_cfg)
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]
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