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    <identifier>10.57760/sciencedb.j00001.01528</identifier>
    <datestamp>2026-03-09T14:19:51Z</datestamp>
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  <dc:date>2026-03-09</dc:date>
  <dc:title>A Challenging Mathematical Problem Dataset for Reasoning Large Language Models: SD1K</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01528</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset contains 1,000 entries organized in a structured JSON format. Each entry consists of two fields: instruction and output. The instruction field presents a high-difficulty mathematical problem in natural language, while the output field contains the complete reasoning process generated by a large reasoning model. Specifically, the output includes a think field, which provides a detailed long-chain reasoning solution, and an answer field, which summarizes the final standard answer.</dc:description>
  <dc:subject>Large Language Models; Data Synthesis; Reasoning Models; Mathematical Problems</dc:subject>
  <dc:creator>Zhu Danhao</dc:creator>
  <dc:creator>Huang Fei</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2025.0120.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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