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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>
52 lines
1.8 KiB
Python
52 lines
1.8 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 AccEvaluator
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from opencompass.datasets import CslDatasetV2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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csl_reader_cfg = dict(
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input_columns=['abst', 'keywords'],
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output_column='label',
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)
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csl_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=
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'摘要是对论文内容不加注释和评论的简短陈述，要求扼要地说明研究工作的目的、研究方法和最终结论等。\n关键词是一篇学术论文的核心词汇，一般由一系列名词组成。关键词在全文中应有较高出现频率，且能起到帮助文献检索的作用。\n摘要：{abst}\n关键词：{keywords}\n请问上述关键词是否匹配摘要且符合要求？\nA. 否\nB. 是\n请从”A“，”B“中进行选择。\n答：'
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)
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]),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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csl_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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csl_datasets = [
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dict(
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abbr='csl_dev',
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type=CslDatasetV2,
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path='./data/FewCLUE/csl/dev_few_all.json',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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dict(
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abbr='csl_test',
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type=CslDatasetV2,
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path='./data/FewCLUE/csl/test_public.json',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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]
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