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On December 2, 2024 at 11:46:44 PM UTC,
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Added resource Original Metadata to FB15k-237
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Dai Quoc Nguyen", | 3 | "author": "Dai Quoc Nguyen", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2405.12656", | 6 | "https://doi.org/10.48550/arXiv.2405.12656", | ||
| 7 | "https://doi.org/10.18653/v1/N18-2053", | 7 | "https://doi.org/10.18653/v1/N18-2053", | ||
| 8 | "https://doi.org/10.48550/arXiv.2110.14923", | 8 | "https://doi.org/10.48550/arXiv.2110.14923", | ||
| 9 | "https://doi.org/10.48550/arXiv.2110.00720", | 9 | "https://doi.org/10.48550/arXiv.2110.00720", | ||
| 10 | "https://doi.org/10.48550/arXiv.2210.14905", | 10 | "https://doi.org/10.48550/arXiv.2210.14905", | ||
| 11 | "https://doi.org/10.48550/arXiv.2211.04620", | 11 | "https://doi.org/10.48550/arXiv.2211.04620", | ||
| 12 | "https://doi.org/10.48550/arXiv.2002.05969", | 12 | "https://doi.org/10.48550/arXiv.2002.05969", | ||
| 13 | "https://doi.org/10.48550/arXiv.2108.00954", | 13 | "https://doi.org/10.48550/arXiv.2108.00954", | ||
| 14 | "https://doi.org/10.48550/arXiv.2206.12418", | 14 | "https://doi.org/10.48550/arXiv.2206.12418", | ||
| 15 | "https://doi.org/10.48550/arXiv.2004.03658" | 15 | "https://doi.org/10.48550/arXiv.2004.03658" | ||
| 16 | ], | 16 | ], | ||
| 17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 18 | "defined_in": "https://doi.org/10.1145/3546790.3546824", | 18 | "defined_in": "https://doi.org/10.1145/3546790.3546824", | ||
| 19 | "doi": "10.57702/prbiqz2r", | 19 | "doi": "10.57702/prbiqz2r", | ||
| 20 | "doi_date_published": "2024-11-25", | 20 | "doi_date_published": "2024-11-25", | ||
| 21 | "doi_publisher": "TIB", | 21 | "doi_publisher": "TIB", | ||
| 22 | "doi_status": true, | 22 | "doi_status": true, | ||
| 23 | "domain": "https://service.tib.eu/ldmservice", | 23 | "domain": "https://service.tib.eu/ldmservice", | ||
| 24 | "extra_authors": [ | 24 | "extra_authors": [ | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Tu Dinh Nguyen", | 26 | "extra_author": "Tu Dinh Nguyen", | ||
| 27 | "orcid": "" | 27 | "orcid": "" | ||
| 28 | }, | 28 | }, | ||
| 29 | { | 29 | { | ||
| 30 | "extra_author": "Dat Quoc Nguyen", | 30 | "extra_author": "Dat Quoc Nguyen", | ||
| 31 | "orcid": "" | 31 | "orcid": "" | ||
| 32 | }, | 32 | }, | ||
| 33 | { | 33 | { | ||
| 34 | "extra_author": "Dinh Phung", | 34 | "extra_author": "Dinh Phung", | ||
| 35 | "orcid": "" | 35 | "orcid": "" | ||
| 36 | } | 36 | } | ||
| 37 | ], | 37 | ], | ||
| 38 | "groups": [ | 38 | "groups": [ | ||
| 39 | { | 39 | { | ||
| 40 | "description": "", | 40 | "description": "", | ||
| 41 | "display_name": "Entity Disambiguation", | 41 | "display_name": "Entity Disambiguation", | ||
| 42 | "id": "59074435-5537-4940-a5f1-eaafbecc9f93", | 42 | "id": "59074435-5537-4940-a5f1-eaafbecc9f93", | ||
| 43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
| 44 | "name": "entity-disambiguation", | 44 | "name": "entity-disambiguation", | ||
| 45 | "title": "Entity Disambiguation" | 45 | "title": "Entity Disambiguation" | ||
| 46 | }, | 46 | }, | ||
| 47 | { | 47 | { | ||
| 48 | "description": "", | 48 | "description": "", | ||
| 49 | "display_name": "Graph Embeddings", | 49 | "display_name": "Graph Embeddings", | ||
| 50 | "id": "e6db30d5-0402-44fb-af86-0f28018d35e0", | 50 | "id": "e6db30d5-0402-44fb-af86-0f28018d35e0", | ||
| 51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
| 52 | "name": "graph-embeddings", | 52 | "name": "graph-embeddings", | ||
| 53 | "title": "Graph Embeddings" | 53 | "title": "Graph Embeddings" | ||
| 54 | }, | 54 | }, | ||
| 55 | { | 55 | { | ||
| 56 | "description": "", | 56 | "description": "", | ||
| 57 | "display_name": "Inductive Relation Prediction", | 57 | "display_name": "Inductive Relation Prediction", | ||
| 58 | "id": "ab90a78d-2624-4c3a-a55f-a1502c630bf4", | 58 | "id": "ab90a78d-2624-4c3a-a55f-a1502c630bf4", | ||
| 59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
| 60 | "name": "inductive-relation-prediction", | 60 | "name": "inductive-relation-prediction", | ||
| 61 | "title": "Inductive Relation Prediction" | 61 | "title": "Inductive Relation Prediction" | ||
| 62 | }, | 62 | }, | ||
| 63 | { | 63 | { | ||
| 64 | "description": "", | 64 | "description": "", | ||
| 65 | "display_name": "Knowledge Graph", | 65 | "display_name": "Knowledge Graph", | ||
| 66 | "id": "ca99866c-fafd-4c39-8cf6-afca14a9518c", | 66 | "id": "ca99866c-fafd-4c39-8cf6-afca14a9518c", | ||
| 67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
| 68 | "name": "knowledge-graph", | 68 | "name": "knowledge-graph", | ||
| 69 | "title": "Knowledge Graph" | 69 | "title": "Knowledge Graph" | ||
| 70 | }, | 70 | }, | ||
| 71 | { | 71 | { | ||
| 72 | "description": "", | 72 | "description": "", | ||
| 73 | "display_name": "Knowledge Graph Embeddings", | 73 | "display_name": "Knowledge Graph Embeddings", | ||
| 74 | "id": "b6bfa45d-52be-4df8-8fdb-7f80d8437dc9", | 74 | "id": "b6bfa45d-52be-4df8-8fdb-7f80d8437dc9", | ||
| 75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
| 76 | "name": "knowledge-graph-embeddings", | 76 | "name": "knowledge-graph-embeddings", | ||
| 77 | "title": "Knowledge Graph Embeddings" | 77 | "title": "Knowledge Graph Embeddings" | ||
| 78 | }, | 78 | }, | ||
| 79 | { | 79 | { | ||
| 80 | "description": "", | 80 | "description": "", | ||
| 81 | "display_name": "Knowledge Graphs", | 81 | "display_name": "Knowledge Graphs", | ||
| 82 | "id": "d5fc5594-e3e1-452e-bc80-70c4521b2a8a", | 82 | "id": "d5fc5594-e3e1-452e-bc80-70c4521b2a8a", | ||
| 83 | "image_display_url": "", | 83 | "image_display_url": "", | ||
| 84 | "name": "knowledge-graphs", | 84 | "name": "knowledge-graphs", | ||
| 85 | "title": "Knowledge Graphs" | 85 | "title": "Knowledge Graphs" | ||
| 86 | }, | 86 | }, | ||
| 87 | { | 87 | { | ||
| 88 | "description": "", | 88 | "description": "", | ||
| 89 | "display_name": "Question Answering", | 89 | "display_name": "Question Answering", | ||
| 90 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 90 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
| 91 | "image_display_url": "", | 91 | "image_display_url": "", | ||
| 92 | "name": "question-answering", | 92 | "name": "question-answering", | ||
| 93 | "title": "Question Answering" | 93 | "title": "Question Answering" | ||
| 94 | } | 94 | } | ||
| 95 | ], | 95 | ], | ||
| 96 | "id": "dfa7d0b1-39d8-46b7-b0e3-87de9c68a5aa", | 96 | "id": "dfa7d0b1-39d8-46b7-b0e3-87de9c68a5aa", | ||
| 97 | "isopen": false, | 97 | "isopen": false, | ||
| 98 | "landing_page": "https://github.com/daiquocnguyen/ConvKB", | 98 | "landing_page": "https://github.com/daiquocnguyen/ConvKB", | ||
| 99 | "license_title": null, | 99 | "license_title": null, | ||
| 100 | "link_orkg": "", | 100 | "link_orkg": "", | ||
| 101 | "metadata_created": "2024-11-25T14:43:37.276869", | 101 | "metadata_created": "2024-11-25T14:43:37.276869", | ||
| n | 102 | "metadata_modified": "2024-12-02T23:46:42.805794", | n | 102 | "metadata_modified": "2024-12-02T23:46:44.022404", |
| 103 | "name": "fb15k-237", | 103 | "name": "fb15k-237", | ||
| 104 | "notes": "Knowledge graphs (KGs) are collections of facts. Some | 104 | "notes": "Knowledge graphs (KGs) are collections of facts. Some | ||
| 105 | well-known knowledge graphs include Freebase (Bollacker et al., 2008), | 105 | well-known knowledge graphs include Freebase (Bollacker et al., 2008), | ||
| 106 | Word-Net (Miller, 1995), YAGO (Suchanek et al., 2007) and NELL | 106 | Word-Net (Miller, 1995), YAGO (Suchanek et al., 2007) and NELL | ||
| 107 | (Mitchell et al., 2018), are proved to be effective for a variety of | 107 | (Mitchell et al., 2018), are proved to be effective for a variety of | ||
| 108 | downstream applications, such as question answering (Ferrucci et al., | 108 | downstream applications, such as question answering (Ferrucci et al., | ||
| 109 | 2010), information extraction (Mintz et al., 2009) and recommender | 109 | 2010), information extraction (Mintz et al., 2009) and recommender | ||
| 110 | systems (Zhang et al., 2016).", | 110 | systems (Zhang et al., 2016).", | ||
| n | 111 | "num_resources": 0, | n | 111 | "num_resources": 1, |
| 112 | "num_tags": 22, | 112 | "num_tags": 22, | ||
| 113 | "organization": { | 113 | "organization": { | ||
| 114 | "approval_status": "approved", | 114 | "approval_status": "approved", | ||
| 115 | "created": "2024-11-25T12:11:38.292601", | 115 | "created": "2024-11-25T12:11:38.292601", | ||
| 116 | "description": "", | 116 | "description": "", | ||
| 117 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 117 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 118 | "image_url": "", | 118 | "image_url": "", | ||
| 119 | "is_organization": true, | 119 | "is_organization": true, | ||
| 120 | "name": "no-organization", | 120 | "name": "no-organization", | ||
| 121 | "state": "active", | 121 | "state": "active", | ||
| 122 | "title": "No Organization", | 122 | "title": "No Organization", | ||
| 123 | "type": "organization" | 123 | "type": "organization" | ||
| 124 | }, | 124 | }, | ||
| 125 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 125 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 126 | "private": false, | 126 | "private": false, | ||
| 127 | "relationships_as_object": [], | 127 | "relationships_as_object": [], | ||
| 128 | "relationships_as_subject": [], | 128 | "relationships_as_subject": [], | ||
| t | 129 | "resources": [], | t | 129 | "resources": [ |
| 130 | { | ||||
| 131 | "cache_last_updated": null, | ||||
| 132 | "cache_url": null, | ||||
| 133 | "created": "2024-12-03T00:20:35", | ||||
| 134 | "data": [ | ||||
| 135 | "dcterms:title", | ||||
| 136 | "dcterms:accessRights", | ||||
| 137 | "dcterms:creator", | ||||
| 138 | "dcterms:description", | ||||
| 139 | "dcterms:issued", | ||||
| 140 | "dcterms:language", | ||||
| 141 | "dcterms:identifier", | ||||
| 142 | "dcat:theme", | ||||
| 143 | "dcterms:type", | ||||
| 144 | "dcat:keyword", | ||||
| 145 | "dcat:landingPage", | ||||
| 146 | "dcterms:hasVersion", | ||||
| 147 | "dcterms:format", | ||||
| 148 | "mls:task", | ||||
| 149 | "datacite:isDescribedBy" | ||||
| 150 | ], | ||||
| 151 | "description": "The json representation of the dataset with its | ||||
| 152 | distributions based on DCAT.", | ||||
| 153 | "format": "JSON", | ||||
| 154 | "hash": "", | ||||
| 155 | "id": "171904ee-bcc7-4759-814c-a2b93e18d245", | ||||
| 156 | "last_modified": "2024-12-02T23:46:44.011454", | ||||
| 157 | "metadata_modified": "2024-12-02T23:46:44.025421", | ||||
| 158 | "mimetype": "application/json", | ||||
| 159 | "mimetype_inner": null, | ||||
| 160 | "name": "Original Metadata", | ||||
| 161 | "package_id": "dfa7d0b1-39d8-46b7-b0e3-87de9c68a5aa", | ||||
| 162 | "position": 0, | ||||
| 163 | "resource_type": null, | ||||
| 164 | "size": 2114, | ||||
| 165 | "state": "active", | ||||
| 166 | "url": | ||||
| 167 | resource/171904ee-bcc7-4759-814c-a2b93e18d245/download/metadata.json", | ||||
| 168 | "url_type": "upload" | ||||
| 169 | } | ||||
| 170 | ], | ||||
| 130 | "services_used_list": "", | 171 | "services_used_list": "", | ||
| 131 | "state": "active", | 172 | "state": "active", | ||
| 132 | "tags": [ | 173 | "tags": [ | ||
| 133 | { | 174 | { | ||
| 134 | "display_name": "Embeddings", | 175 | "display_name": "Embeddings", | ||
| 135 | "id": "7a9296aa-f109-4230-9829-5229e2dff5d0", | 176 | "id": "7a9296aa-f109-4230-9829-5229e2dff5d0", | ||
| 136 | "name": "Embeddings", | 177 | "name": "Embeddings", | ||
| 137 | "state": "active", | 178 | "state": "active", | ||
| 138 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
| 139 | }, | 180 | }, | ||
| 140 | { | 181 | { | ||
| 141 | "display_name": "Entity Disambiguation", | 182 | "display_name": "Entity Disambiguation", | ||
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| 143 | "name": "Entity Disambiguation", | 184 | "name": "Entity Disambiguation", | ||
| 144 | "state": "active", | 185 | "state": "active", | ||
| 145 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
| 146 | }, | 187 | }, | ||
| 147 | { | 188 | { | ||
| 148 | "display_name": "FB15k-237", | 189 | "display_name": "FB15k-237", | ||
| 149 | "id": "e6b20732-337f-4221-a361-4ed12a46efd8", | 190 | "id": "e6b20732-337f-4221-a361-4ed12a46efd8", | ||
| 150 | "name": "FB15k-237", | 191 | "name": "FB15k-237", | ||
| 151 | "state": "active", | 192 | "state": "active", | ||
| 152 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
| 153 | }, | 194 | }, | ||
| 154 | { | 195 | { | ||
| 155 | "display_name": "Few-Shot Learning", | 196 | "display_name": "Few-Shot Learning", | ||
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| 157 | "name": "Few-Shot Learning", | 198 | "name": "Few-Shot Learning", | ||
| 158 | "state": "active", | 199 | "state": "active", | ||
| 159 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
| 160 | }, | 201 | }, | ||
| 161 | { | 202 | { | ||
| 162 | "display_name": "Graph Embeddings", | 203 | "display_name": "Graph Embeddings", | ||
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| 164 | "name": "Graph Embeddings", | 205 | "name": "Graph Embeddings", | ||
| 165 | "state": "active", | 206 | "state": "active", | ||
| 166 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
| 167 | }, | 208 | }, | ||
| 168 | { | 209 | { | ||
| 169 | "display_name": "Inductive Relation Prediction", | 210 | "display_name": "Inductive Relation Prediction", | ||
| 170 | "id": "6bcf53fd-2d77-434c-8943-17cb0c02770f", | 211 | "id": "6bcf53fd-2d77-434c-8943-17cb0c02770f", | ||
| 171 | "name": "Inductive Relation Prediction", | 212 | "name": "Inductive Relation Prediction", | ||
| 172 | "state": "active", | 213 | "state": "active", | ||
| 173 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
| 174 | }, | 215 | }, | ||
| 175 | { | 216 | { | ||
| 176 | "display_name": "Information Extraction", | 217 | "display_name": "Information Extraction", | ||
| 177 | "id": "de657349-3e4b-45a9-9e54-986de7835951", | 218 | "id": "de657349-3e4b-45a9-9e54-986de7835951", | ||
| 178 | "name": "Information Extraction", | 219 | "name": "Information Extraction", | ||
| 179 | "state": "active", | 220 | "state": "active", | ||
| 180 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
| 181 | }, | 222 | }, | ||
| 182 | { | 223 | { | ||
| 183 | "display_name": "Knowledge Graph", | 224 | "display_name": "Knowledge Graph", | ||
| 184 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | 225 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | ||
| 185 | "name": "Knowledge Graph", | 226 | "name": "Knowledge Graph", | ||
| 186 | "state": "active", | 227 | "state": "active", | ||
| 187 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
| 188 | }, | 229 | }, | ||
| 189 | { | 230 | { | ||
| 190 | "display_name": "Knowledge Graphs", | 231 | "display_name": "Knowledge Graphs", | ||
| 191 | "id": "2775adfa-4581-4fcc-8828-7a93a72f95e4", | 232 | "id": "2775adfa-4581-4fcc-8828-7a93a72f95e4", | ||
| 192 | "name": "Knowledge Graphs", | 233 | "name": "Knowledge Graphs", | ||
| 193 | "state": "active", | 234 | "state": "active", | ||
| 194 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
| 195 | }, | 236 | }, | ||
| 196 | { | 237 | { | ||
| 197 | "display_name": "Link Prediction", | 238 | "display_name": "Link Prediction", | ||
| 198 | "id": "1825a40e-ed51-4256-a71f-800c830d4d19", | 239 | "id": "1825a40e-ed51-4256-a71f-800c830d4d19", | ||
| 199 | "name": "Link Prediction", | 240 | "name": "Link Prediction", | ||
| 200 | "state": "active", | 241 | "state": "active", | ||
| 201 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
| 202 | }, | 243 | }, | ||
| 203 | { | 244 | { | ||
| 204 | "display_name": "Question Answering", | 245 | "display_name": "Question Answering", | ||
| 205 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | 246 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | ||
| 206 | "name": "Question Answering", | 247 | "name": "Question Answering", | ||
| 207 | "state": "active", | 248 | "state": "active", | ||
| 208 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
| 209 | }, | 250 | }, | ||
| 210 | { | 251 | { | ||
| 211 | "display_name": "Recommender Systems", | 252 | "display_name": "Recommender Systems", | ||
| 212 | "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed", | 253 | "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed", | ||
| 213 | "name": "Recommender Systems", | 254 | "name": "Recommender Systems", | ||
| 214 | "state": "active", | 255 | "state": "active", | ||
| 215 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
| 216 | }, | 257 | }, | ||
| 217 | { | 258 | { | ||
| 218 | "display_name": "Triple Completion", | 259 | "display_name": "Triple Completion", | ||
| 219 | "id": "62333ddc-ef3f-4740-b292-079a29c1f6b0", | 260 | "id": "62333ddc-ef3f-4740-b292-079a29c1f6b0", | ||
| 220 | "name": "Triple Completion", | 261 | "name": "Triple Completion", | ||
| 221 | "state": "active", | 262 | "state": "active", | ||
| 222 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
| 223 | }, | 264 | }, | ||
| 224 | { | 265 | { | ||
| 225 | "display_name": "Triple Store", | 266 | "display_name": "Triple Store", | ||
| 226 | "id": "f81982af-d306-4ff8-bf42-4c35109a8330", | 267 | "id": "f81982af-d306-4ff8-bf42-4c35109a8330", | ||
| 227 | "name": "Triple Store", | 268 | "name": "Triple Store", | ||
| 228 | "state": "active", | 269 | "state": "active", | ||
| 229 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
| 230 | }, | 271 | }, | ||
| 231 | { | 272 | { | ||
| 232 | "display_name": "entities", | 273 | "display_name": "entities", | ||
| 233 | "id": "1fa29927-9cf1-4e9d-9661-28dd40ebecb3", | 274 | "id": "1fa29927-9cf1-4e9d-9661-28dd40ebecb3", | ||
| 234 | "name": "entities", | 275 | "name": "entities", | ||
| 235 | "state": "active", | 276 | "state": "active", | ||
| 236 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
| 237 | }, | 278 | }, | ||
| 238 | { | 279 | { | ||
| 239 | "display_name": "entity", | 280 | "display_name": "entity", | ||
| 240 | "id": "54df1263-df8c-49cb-8e09-96d4d517f871", | 281 | "id": "54df1263-df8c-49cb-8e09-96d4d517f871", | ||
| 241 | "name": "entity", | 282 | "name": "entity", | ||
| 242 | "state": "active", | 283 | "state": "active", | ||
| 243 | "vocabulary_id": null | 284 | "vocabulary_id": null | ||
| 244 | }, | 285 | }, | ||
| 245 | { | 286 | { | ||
| 246 | "display_name": "knowledge graph", | 287 | "display_name": "knowledge graph", | ||
| 247 | "id": "764531bd-7a99-41f5-9ed5-2368310e952d", | 288 | "id": "764531bd-7a99-41f5-9ed5-2368310e952d", | ||
| 248 | "name": "knowledge graph", | 289 | "name": "knowledge graph", | ||
| 249 | "state": "active", | 290 | "state": "active", | ||
| 250 | "vocabulary_id": null | 291 | "vocabulary_id": null | ||
| 251 | }, | 292 | }, | ||
| 252 | { | 293 | { | ||
| 253 | "display_name": "knowledge graphs", | 294 | "display_name": "knowledge graphs", | ||
| 254 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | 295 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | ||
| 255 | "name": "knowledge graphs", | 296 | "name": "knowledge graphs", | ||
| 256 | "state": "active", | 297 | "state": "active", | ||
| 257 | "vocabulary_id": null | 298 | "vocabulary_id": null | ||
| 258 | }, | 299 | }, | ||
| 259 | { | 300 | { | ||
| 260 | "display_name": "query embedding", | 301 | "display_name": "query embedding", | ||
| 261 | "id": "b99bfbb5-4e41-4cf1-bea0-8abb847ec356", | 302 | "id": "b99bfbb5-4e41-4cf1-bea0-8abb847ec356", | ||
| 262 | "name": "query embedding", | 303 | "name": "query embedding", | ||
| 263 | "state": "active", | 304 | "state": "active", | ||
| 264 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
| 265 | }, | 306 | }, | ||
| 266 | { | 307 | { | ||
| 267 | "display_name": "question answering", | 308 | "display_name": "question answering", | ||
| 268 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 309 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
| 269 | "name": "question answering", | 310 | "name": "question answering", | ||
| 270 | "state": "active", | 311 | "state": "active", | ||
| 271 | "vocabulary_id": null | 312 | "vocabulary_id": null | ||
| 272 | }, | 313 | }, | ||
| 273 | { | 314 | { | ||
| 274 | "display_name": "relation", | 315 | "display_name": "relation", | ||
| 275 | "id": "cecb9373-48be-450f-b328-466eee5fc1c8", | 316 | "id": "cecb9373-48be-450f-b328-466eee5fc1c8", | ||
| 276 | "name": "relation", | 317 | "name": "relation", | ||
| 277 | "state": "active", | 318 | "state": "active", | ||
| 278 | "vocabulary_id": null | 319 | "vocabulary_id": null | ||
| 279 | }, | 320 | }, | ||
| 280 | { | 321 | { | ||
| 281 | "display_name": "relations", | 322 | "display_name": "relations", | ||
| 282 | "id": "f12439d4-5285-409f-953e-5dcf5f0949ea", | 323 | "id": "f12439d4-5285-409f-953e-5dcf5f0949ea", | ||
| 283 | "name": "relations", | 324 | "name": "relations", | ||
| 284 | "state": "active", | 325 | "state": "active", | ||
| 285 | "vocabulary_id": null | 326 | "vocabulary_id": null | ||
| 286 | } | 327 | } | ||
| 287 | ], | 328 | ], | ||
| 288 | "title": "FB15k-237", | 329 | "title": "FB15k-237", | ||
| 289 | "type": "dataset", | 330 | "type": "dataset", | ||
| 290 | "version": "" | 331 | "version": "" | ||
| 291 | } | 332 | } |