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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>
36 lines
1.2 KiB
Python
36 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 GenInferencer
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from opencompass.openicl.icl_evaluator import EMEvaluator
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from opencompass.datasets import CMRCDataset, cmrc_postprocess
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CMRC_reader_cfg = dict(
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input_columns=['question', 'context'], output_column='answers')
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CMRC_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role='HUMAN',
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prompt='根据文章回答问题。你的答案应该尽可能简练，请以 ‘答案是’ 开头的句式作答。\n文章：{context}\n问：{question}\n答：'),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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CMRC_eval_cfg = dict(
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evaluator=dict(type=EMEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=cmrc_postprocess),
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)
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CMRC_datasets = [
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dict(
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type=CMRCDataset,
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abbr='CMRC_dev',
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path='opencompass/cmrc_dev',
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reader_cfg=CMRC_reader_cfg,
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infer_cfg=CMRC_infer_cfg,
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eval_cfg=CMRC_eval_cfg),
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]
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