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    <datestamp>2026-09-28T12:41:29Z</datestamp>
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  <dc:date>2026-09-28</dc:date>
  <dc:title>Source Code for Multimodal Sarcasm Detection Driven by Local Semantic Conflict Awareness and Modality Rebalancing</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00240.0009p</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This repository provides the research code associated with the paper &amp;ldquo;Multimodal Sarcasm Detection Driven by Local Semantic Conflict Awareness and Modality Rebalancing.&amp;rdquo; It includes programs for model construction, training and testing, data loading, and evaluation, and can be used to reproduce the experiments reported in the paper. The code is applicable to the public MMSD1.0 and MMSD2.0 datasets. The original datasets and pretrained models should be obtained separately.</dc:description>
  <dc:subject>multimodal sarcasm detection; local semantic conflict; phrase-level representation; modality rebalancing</dc:subject>
  <dc:creator>liu jin bai</dc:creator>
  <dc:creator>Peng Shujuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/mit</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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