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    <responseDate>2026-10-14T21:40:55Z</responseDate>
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    <identifier>10.57760/sciencedb.29204</identifier>
    <datestamp>2026-03-13T17:30:27Z</datestamp>
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  <dc:date>2026-03-13</dc:date>
  <dc:title>QWEN-RAGFlow</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.29204</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>To evaluate the effectiveness of the proposed RAGFlow-based multisource heterogeneous knowledge base construction framework, three experimental datasets were constructed and used in this study. These datasets correspond to different evaluation aspects of the system, including knowledge base dynamic updating, reasoning performance evaluation, and robustness testing under noisy conditions.</dc:description>
  <dc:subject>LLM; ML;  Dataset</dc:subject>
  <dc:creator>Quanrong Fang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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