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    <responseDate>2026-10-12T17:33:18Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00618</identifier>
    <datestamp>2025-12-22T00:06:51Z</datestamp>
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  <dc:date>2025-12-22</dc:date>
  <dc:title>Ceramic dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00618</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>We collected 84,256 records of ceramic auction items from major art information websites such as Yanchang.com, Sotheby's, and Christie's, as well as auction platforms. To ensure the quality and comparability of the model's training, we selected 68,481 ceramic samples with the shape of a plate and a transaction price as the experimental data.</dc:description>
  <dc:subject>Ceramic ; Artwork Auction Information; Auction Record</dc:subject>
  <dc:creator>倪</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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