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    <responseDate>2026-10-06T21:17:30Z</responseDate>
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    <identifier>10.57760/sciencedb.o00160.0000d</identifier>
    <datestamp>2026-09-30T10:40:48Z</datestamp>
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  <dc:date>2026-09-30</dc:date>
  <dc:title>Number Theory and Algebra Textbook and Problem-Solving Knowledge Corpus</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00160.0000d</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is designed to support learning and problem solving in number theory and algebra. It provides a high-quality knowledge corpus based on classic mathematics textbooks, exercise collections and related problem-solving resources. The dataset links mathematical concepts, definitions, theorems, knowledge dependencies, worked examples, exercises and solution processes. It provides specialist data for large AI models in mathematics and supports mathematical understanding, knowledge linking, problem solving and reasoning training. It is designed to help improve intelligent reasoning for mathematics learning and scientific discovery.</dc:description>
  <dc:subject>Number Theory; Algebra; Mathematics Textbooks; Mathematics Exercises</dc:subject>
  <dc:creator>Zhang Chen</dc:creator>
  <dc:creator>Tang Chunyu</dc:creator>
  <dc:creator>Wu Dingye</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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