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@@ -34,7 +34,7 @@ You can use this model directly with a pipeline for text classification (take th
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  ## Training data
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- We use 5 Chinese text classification datasets which are collected by [Glyph](https://github.com/zhangxiangxiao/glyph) project.
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  ## Training procedure
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  ## Training data
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+ 5 Chinese text classification datasets are used. JD full, JD binary, and Dianping datasets consist of user reviews of different sentiment polarities. Ifeng and Chinanews consist of first paragraphs of news articles of different topic classes. They are collected by [Glyph](https://github.com/zhangxiangxiao/glyph) project and more details are discussed in corresponding [paper](https://arxiv.org/abs/1708.02657).
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  ## Training procedure
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