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    <identifier>10.57760/sciencedb.07843</identifier>
    <datestamp>2023-03-30T09:08:23Z</datestamp>
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  <dc:date>2023-03-30</dc:date>
  <dc:title>Chinese scientific and technological literature clustering dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.07843</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is a collection of 10904 Chinese scientific and technological literature abstracts on 10 medical disease topics selected from the CSCD database, mainly used to solve text clustering problems. Among them, 1546 were type-2 diabetes, 1184 were lung cancer, 1124 were osteoporosis, 1260 were coronary heart disease, 1220 were Parkinson's disease, 1276 were hepatitis, 778 were depression, 830 were rheumatoid, 834 were asthma, and 852 were epilepsy.</dc:description>
  <dc:subject>Chinese scientific and technological literature; clustering dataset; medical</dc:subject>
  <dc:creator>Jie Li</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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