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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 TNewsDataset |
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tnews_reader_cfg = dict(input_columns='sentence', output_column='label_desc2') |
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tnews_labels = [ |
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'农业新闻', '旅游新闻', '游戏新闻', '科技类别公司新闻', '体育类别新闻', '初升高教育新闻', '娱乐圈新闻', '投资资讯', |
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'军事类别常识', '车辆新闻', '楼市新闻', '环球不含中国类别新闻', '书籍文化历史类别新闻', '故事类别新闻', '股票市场类别新闻' |
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] |
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tnews_infer_cfg = dict( |
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prompt_template=dict( |
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type=PromptTemplate, |
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template={lb: f'{{sentence}}这篇新闻属于:{lb}' |
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for lb in tnews_labels}), |
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retriever=dict(type=ZeroRetriever), |
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inferencer=dict(type=PPLInferencer)) |
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tnews_eval_cfg = dict(evaluator=dict(type=AccEvaluator)) |
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tnews_datasets = [ |
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dict( |
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type=TNewsDataset, |
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path='json', |
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abbr='tnews-dev', |
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data_files='./data/FewCLUE/tnews/dev_few_all.json', |
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split='train', |
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reader_cfg=tnews_reader_cfg, |
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infer_cfg=tnews_infer_cfg, |
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eval_cfg=tnews_eval_cfg), |
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dict( |
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type=TNewsDataset, |
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path='json', |
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abbr='tnews-test', |
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data_files='./data/FewCLUE/tnews/test_public.json', |
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split='train', |
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reader_cfg=tnews_reader_cfg, |
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infer_cfg=tnews_infer_cfg, |
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eval_cfg=tnews_eval_cfg) |
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] |
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