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    <identifier>10.57760/sciencedb.j00133.00489</identifier>
    <datestamp>2025-02-05T10:40:56Z</datestamp>
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  <dc:date>2025-02-05</dc:date>
  <dc:title>CH-SIMSandCMU-MOSI dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00489</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>CH-SIMS Dataset: This dataset consists of 2,281 video clips from different data sources, with a total of 474 speakers. The modal categories include three modalities: vision, speech, and text. The SIMS dataset is a unique Chinese multi-modal sentiment classification dataset with fine-grained annotations. The videos contain spontaneous expressions, various head postures, and video occlusions. Annotators assign an emotion score to each labeled sample ranging from -1 (strongly negative) to 1 (strongly positive).CMU-MOSI Dataset: This dataset is constructed based on YouTube videos. Annotators label the emotion of each sample with a score ranging from -3 (strongly negative) to 3 (strongly positive).分享这两个数据集的具体应用场景有哪些？这两个数据集的优缺点分别是什么？多模态情感分类数据集的发展趋势是怎样的？</dc:description>
  <dc:subject>CH-SIMS Dataset; CMU-MOSI Dataset; multi-modal sentiment classification</dc:subject>
  <dc:creator>Chen Yansong</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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