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    <identifier>10.57760/sciencedb.jcst.00010</identifier>
    <datestamp>2024-12-09T15:14:40Z</datestamp>
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  <dc:date>2024-12-09</dc:date>
  <dc:title>MixRED Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.jcst.00010</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>To facilitate the MixRE task, we introduce the first human-annotated Mix-lingual Relation Extraction Dataset (MixRED). MixRED is meticulously constructed by blending English, Chinese, Japanese, and German versions of documents through a systematic construction framework. This framework identifies crucial elements in texts and emphasizes them to generate mix-lingual content, aiming to optimize the potential impact on model performance.</dc:description>
  <dc:subject>code-switching; large language model; relation extraction</dc:subject>
  <dc:creator>Ling-Xing Kong</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1007/s11390-024-4314-y</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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