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    <identifier>10.57760/sciencedb.j00133.00574</identifier>
    <datestamp>2025-12-02T16:50:10Z</datestamp>
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  <dc:date>2025-12-02</dc:date>
  <dc:title>Datasets for LLM Prompt-Based Multi-Modal Encoding Method for Chinese Hate Speech Detection</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00574</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset includes two Chinese hate speech detection datasets, namely Coldataset and CHSD, which are used to test the effectiveness of detection methods. Additionally, it comprises the datasets and models used for training and validation in this study, respectively in the processes of sentiment analysis and Pinyin-glyph feature encoding. In addition, it also includes the foundation models applied in the comparative experiment phase.</dc:description>
  <dc:subject>LLM; Sentiment Analysis; Raw Data; Foundation Model</dc:subject>
  <dc:creator>liu ming shuai</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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