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    <responseDate>2026-10-14T15:23:28Z</responseDate>
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    <identifier>10.57760/sciencedb.011wg</identifier>
    <datestamp>2026-09-20T09:57:09Z</datestamp>
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  <dc:date>2026-09-20</dc:date>
  <dc:title>Knowledge graph of regulations such as &amp;quot;Coal Mine Safety Regulations&amp;quot; and test question results</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011wg</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset is in CSV format, and the knowledge graph of each regulation consists of entity set CSV and relationship set CSV. For example, the entity set of &amp;quot;Coal Mine Safety Regulations&amp;quot; is neo4j_nodes.csv, and the relationship set is neo4j_rels.csv. You can import entity sets and relationship sets CSV together in Neo4j to form a visual knowledge graph. The entity set and relationship set of the knowledge graph of the &amp;quot;Detailed Rules for Prevention and Control of Coal Mine Rock Burst&amp;quot; are fzmkcjdyxz_neo4j_nodes.csv and fzmkcjdyxz_neo4j_rels.csv, respectively. The entity set and relationship set of the knowledge graph of the Fire Law of the People's Republic of China are xff_neo4j_nodes.csv and xff_neo4j_rels.csv, respectively. The problem dataset and test results are located in the &amp;quot;Test Questions Results.zip&amp;quot; file.</dc:description>
  <dc:subject>Coal mine; Procedure; Knowledge Graph</dc:subject>
  <dc:creator>Fu Xiang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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