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  "author": "Tim Dettmers",
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  "author": "Tim Dettmers",
            
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  "author_email": "tim.dettmers@gmail.com",
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  "author_email": "tim.dettmers@gmail.com",
            
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  "defined_in": "https://doi.org/10.1609/aaai.v32i1.11573",
            
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  "doi": "10.57702/8ear82n6",
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  "doi": "10.57702/8ear82n6",
            
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  "doi_date_published": "2024-04-19",
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  "doi_date_published": "2024-04-19",
            
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      "extra_author": "Pasquale Minervini",
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      "extra_author": "Pasquale Minervini",
            
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      "orcid": "https://orcid.org/0000-0002-8442-602X"
            
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      "extra_author": "Pontus Stenetorp",
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    },
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    {
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      "extra_author": "Sebastian Riedel",
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      "extra_author": "Sebastian Riedel",
            
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      "orcid": "https://orcid.org/0000-0002-9971-0218"
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      "orcid": "https://orcid.org/0000-0002-9971-0218"
            
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  "name": "wn18rr-benchmark",
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  "name": "wn18rr-benchmark",
            
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  "notes": "WN18RR is a link prediction dataset created from WN18, 
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  "notes": "WN18RR is a link prediction dataset created from WN18, 
            
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which is a subset of WordNet. WN18 consists of 18 relations and 40,943 
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which is a subset of WordNet. WN18 consists of 18 relations and 40,943 
            
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entities. However, many text triples are obtained by inverting triples 
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entities. However, many text triples are obtained by inverting triples 
            
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from the training set. Thus the WN18RR dataset is created to ensure 
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from the training set. Thus the WN18RR dataset is created to ensure 
            
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that the evaluation dataset does not have inverse relation test 
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that the evaluation dataset does not have inverse relation test 
            
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leakage. In summary, WN18RR dataset contains 93,003 triples with 
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leakage. In summary, WN18RR dataset contains 93,003 triples with 
            
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40,943 entities and 11 relation types.",
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40,943 entities and 11 relation types.",
            
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    "created": "2017-11-23T17:30:37.757128",
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    "description": "The German National Library of Science and 
            
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Technology, abbreviated TIB, is the national library of the Federal 
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Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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Republic of Germany for all fields of engineering, technology, and the 
            
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natural sciences.",
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natural sciences.",
            
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"https://figshare.com/ndownloader/articles/11911272/versions/1",
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"https://figshare.com/ndownloader/articles/11911272/versions/1",
            
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      "description": "WN18RR is derived from WN18, with data removed 
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      "description": "WN18RR is derived from WN18, with data removed 
            
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to eliminate test-set leakage due to inverse relations. WN18RR 
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to eliminate test-set leakage due to inverse relations. WN18RR 
            
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contains 93003 triples, connecting 40943 entities via 11 relations.",
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contains 93003 triples, connecting 40943 entities via 11 relations.",
            
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  "tags": [
            
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      "display_name": "Benchmark",
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      "display_name": "Benchmark",
            
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      "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c",
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      "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c",
            
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      "name": "Benchmark",
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      "name": "Benchmark",
            
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  "title": "WN18RR Benchmark",
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  "title": "WN18RR Benchmark",
            
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  "type": "dataset",
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  "url": "https://ojs.aaai.org/index.php/AAAI/article/view/11573",
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