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    <datestamp>2026-09-10T10:52:09Z</datestamp>
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  <dc:date>2026-09-10</dc:date>
  <dc:title>English Duplex Conversation Training Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27628</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The English Duplex Conversation Dataset developed by MagicData captures each English 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>English; Duplex; Conversation</dc:subject>
  <dc:creator>Jiechen Liu</dc:creator>
  <dc:creator>Zhitong Zhou</dc:creator>
  <dc:creator>Qingqing Zhang</dc:creator>
  <dc:creator>Lei Luo</dc:creator>
  <dc:creator>Ruohua Zhou</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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