nlp_chinese_corpus

This project presents a large-scale collection of text datasets for researchers and developers in the Chinese natural language processing field. It contains Wikipedia entries, news articles, encyclopedia questions, community question-answer data, and translation pairs. These datasets can be used to create word vectors, pre-train, and train various language models.

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ChineseNLPCorpusDatasetMIT

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What can it do?
  • You use about 1 million (1,043,224) structured Chinese Wikipedia clauses as general pre-training or word vector data.
  • You train title, keyword, and summary models through news articles.
  • Using a large number of question-answer data sets, you set up information-based query systems.
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Verified against README · Oct 25, 2026 · source

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