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    <identifier>10.57760/sciencedb.25099</identifier>
    <datestamp>2026-02-27T09:54:41Z</datestamp>
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  <dc:date>2026-02-27</dc:date>
  <dc:title>AMCK：A Knowledge Dataset for Automotive Maintenance and Servicing for Large Language Model Fine-tuning</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.25099</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The AMCK dataset has a size of 87.9MB and contains 43962 pieces of data, stored in JSON format. Each piece of data contains three attributes: instruction, input, and output. Instruction provides information on the brand and model of the vehicle being maintained, allowing the model to focus on specific areas; Input is user questions or related background information that helps the model analyze and reason; Output is the response content generated by the model based on the inference of the first two parts, which is the answer or solution to the input problem.&amp;nbsp;</dc:description>
  <dc:subject>Large Language Models; Fine-Tuned Datasets; Automotive Maintenance; Automotive Care</dc:subject>
  <dc:creator>Wu Wenshe</dc:creator>
  <dc:creator>Wang Youqi</dc:creator>
  <dc:creator>Nanzhe</dc:creator>
  <dc:creator>Ma Ning</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2025.0092.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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