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    <datestamp>2026-09-10T10:52:25Z</datestamp>
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  <dc:date>2026-09-10</dc:date>
  <dc:title>Chinese Duplex Conversation Training Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00104.00147</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The Chinese Duplex Conversation Training Dataset developed by MagicData captures each Chinese speaker's audio track and labels each speaker separately, thereby preserving the natural occurrences of interruptions, interactions, and other dynamics in conversation. By isolating each speaker's audio, we can provide clearer and more accurate training data, enabling models to more effectively understand and respond to natural conversational exchanges.</dc:description>
  <dc:subject>Chinese; Duplex; Conversation</dc:subject>
  <dc:creator>Jiechen Liu</dc:creator>
  <dc:creator>Zhou Zhitong</dc:creator>
  <dc:creator>Zhang Qingqing</dc:creator>
  <dc:creator>Luo Lei</dc:creator>
  <dc:creator>Zhou Ruohua</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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