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  <dc:date>2025-08-04</dc:date>
  <dc:title>UrduPSL-Kabaddi-Tweets</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27635</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>A Benchmark and pseudo-labeled Datasets for Aspect-Based Sentiment Analysis in Pakistan Super League (PSL) and Kabaddi Sports tweets in Urdu Language. The dataset is annotated for Aspect terms, opinion terms, and sentiment polarity with&amp;nbsp;Positive, Negative, Neutral sentiment labels and predefined aspect categories and their associated sentiment.</dc:description>
  <dc:subject>Aspect-Based Sentiment Analysis (ABSA); Low Resource Language; Urdu ABSA</dc:subject>
  <dc:creator>Zoya</dc:creator>
  <dc:creator>Seemab Latif</dc:creator>
  <dc:creator>Rabia Latif</dc:creator>
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  <dc:publisher>Science Data Bank</dc:publisher>
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