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    <datestamp>2024-07-26T16:36:26Z</datestamp>
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  <dc:date>2024-07-26</dc:date>
  <dc:title>Cluster label dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00433</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is designed to evaluate the performance of clustering label extraction algorithms. The dataset contains clusters of text processed by clustering and manually labeled clustering labels. Among them, the text cluster is composed of research question sentences in scientific papers. Each cluster contains about 15-25 sentences, and the labels are obtained by manual labeling, which are phrases composed of 2-3 words.The dataset contains a total of 275 clusters.</dc:description>
  <dc:subject>clustering; label;  research problems</dc:subject>
  <dc:creator>wang yu fei</dc:creator>
  <dc:creator>Zhang Zhixiong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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