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    <responseDate>2026-10-14T02:35:31Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00593</identifier>
    <datestamp>2025-12-05T16:25:43Z</datestamp>
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  <dc:date>2025-12-05</dc:date>
  <dc:title>Benchmark datasets for knowledge graph completion experiments: FB15k, WN18, FB15k-237, and WN18RR.</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00593</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In the knowledge graph completion experiment, multiple benchmark datasets were adopted, which were divided into training sets, validation sets and test sets. The specific descriptions are as follows:(1) FB15k: FB15k is a subset of the World Knowledge Base Freebase. It is a representative knowledge graph completion task dataset containing various real-world knowledge facts, which can evaluate the performance of models when dealing with diverse entity-relationship data.(2) WN18: WN18 is a subset of the language knowledge base WordNet. It is a knowledge graph dataset representing lexical relationships between different words, such as superior-subordinate relationships and subordination relationships, and is used to evaluate the performance of models in handling semantic relationships.(3) FB15K-237: FB15K-237 is a subset of the FB15k dataset, with all reversible relationships removed. It is a more challenging dataset for knowledge graph completion tasks.(4) WN18RR: WN18RR is a subset further filtered from the WN18 dataset, with all reversible relationships removed, making the dataset more challenging. It is mainly used for knowledge graph completion tasks.</dc:description>
  <dc:subject>Knowledge Graph Completion; Link Prediction; FB15k; FB15k-237; WN18; WN18RR</dc:subject>
  <dc:creator>Liu Hai</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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