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  "author": "Antoine Bordes",
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  "author": "Antoine Bordes",
            
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  "author_email": "bordesan@utc.fr",
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  "author_email": "bordesan@utc.fr",
            
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  "creator_user_id": "f7cd6563-f944-40d2-b88a-ec1b2ccfc7d1",
            
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  "doi": "10.57702/8ear82n6",
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  "doi": "10.57702/8ear82n6",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-04-19",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Nicolas Usunier",
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      "extra_author": "Nicolas Usunier",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alberto Garcia-Duran",
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      "extra_author": "Alberto Garcia-Duran",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jason Weston",
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      "extra_author": "Jason Weston",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Oksana Yakhnenko",
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      "extra_author": "Oksana Yakhnenko",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  "license_id": "notspecified",
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "metadata_created": "2024-04-19T15:38:54.780629",
            
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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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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2017-11-23T17:30:37.757128",
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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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    "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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    "image_url": 
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    "name": "tib",
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  "relationships_as_object": [],
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  "tags": [
            
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      "display_name": "Benchmark",
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      "display_name": "Benchmark",
            
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  "title": "WN18RR Benchmark",
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  "title": "WN18RR Benchmark",
            
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