Changes
On December 2, 2024 at 6:01:37 PM UTC, admin:
-
Added resource Original Metadata to IMDB
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Zhang Ze Yu", | 3 | "author": "Zhang Ze Yu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2003.10388", | 6 | "https://doi.org/10.48550/arXiv.2003.10388", | ||
7 | "https://doi.org/10.48550/arXiv.2004.02308", | 7 | "https://doi.org/10.48550/arXiv.2004.02308", | ||
8 | "https://doi.org/10.48550/arXiv.1605.05101", | 8 | "https://doi.org/10.48550/arXiv.1605.05101", | ||
9 | "https://doi.org/10.48550/arXiv.2210.14576", | 9 | "https://doi.org/10.48550/arXiv.2210.14576", | ||
10 | "https://doi.org/10.48550/arXiv.1412.6815", | 10 | "https://doi.org/10.48550/arXiv.1412.6815", | ||
11 | "https://doi.org/10.1145/3678168", | 11 | "https://doi.org/10.1145/3678168", | ||
12 | "https://doi.org/10.48550/arXiv.1901.10787", | 12 | "https://doi.org/10.48550/arXiv.1901.10787", | ||
13 | "https://doi.org/10.1007/978-3-030-19651-6_40", | 13 | "https://doi.org/10.1007/978-3-030-19651-6_40", | ||
14 | "https://doi.org/10.48550/arXiv.2108.13654", | 14 | "https://doi.org/10.48550/arXiv.2108.13654", | ||
15 | "https://doi.org/10.48550/arXiv.2007.02643", | 15 | "https://doi.org/10.48550/arXiv.2007.02643", | ||
16 | "https://doi.org/10.48550/arXiv.2103.15429", | 16 | "https://doi.org/10.48550/arXiv.2103.15429", | ||
17 | "https://doi.org/10.1109/TKDE.2021.3101356", | 17 | "https://doi.org/10.1109/TKDE.2021.3101356", | ||
18 | "https://doi.org/10.48550/arXiv.1711.09645", | 18 | "https://doi.org/10.48550/arXiv.1711.09645", | ||
19 | "https://doi.org/10.48550/arXiv.2009.07360", | 19 | "https://doi.org/10.48550/arXiv.2009.07360", | ||
20 | "https://doi.org/10.48550/arXiv.2303.01234", | 20 | "https://doi.org/10.48550/arXiv.2303.01234", | ||
21 | "https://doi.org/10.48550/arXiv.2110.08931" | 21 | "https://doi.org/10.48550/arXiv.2110.08931" | ||
22 | ], | 22 | ], | ||
23 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 23 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
24 | "defined_in": "https://doi.org/10.1109/TNNLS.2022.3212627", | 24 | "defined_in": "https://doi.org/10.1109/TNNLS.2022.3212627", | ||
25 | "doi": "10.57702/n5puzr61", | 25 | "doi": "10.57702/n5puzr61", | ||
26 | "doi_date_published": "2024-11-25", | 26 | "doi_date_published": "2024-11-25", | ||
27 | "doi_publisher": "TIB", | 27 | "doi_publisher": "TIB", | ||
28 | "doi_status": true, | 28 | "doi_status": true, | ||
29 | "domain": "https://service.tib.eu/ldmservice", | 29 | "domain": "https://service.tib.eu/ldmservice", | ||
30 | "extra_authors": [ | 30 | "extra_authors": [ | ||
31 | { | 31 | { | ||
32 | "extra_author": "Zhang Hui", | 32 | "extra_author": "Zhang Hui", | ||
33 | "orcid": "" | 33 | "orcid": "" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "extra_author": "Lau Jia Jaw", | 36 | "extra_author": "Lau Jia Jaw", | ||
37 | "orcid": "" | 37 | "orcid": "" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "extra_author": "Bryan Kian Hsiang Low", | 40 | "extra_author": "Bryan Kian Hsiang Low", | ||
41 | "orcid": "" | 41 | "orcid": "" | ||
42 | } | 42 | } | ||
43 | ], | 43 | ], | ||
44 | "groups": [ | 44 | "groups": [ | ||
45 | { | 45 | { | ||
46 | "description": "", | 46 | "description": "", | ||
47 | "display_name": "Active Learning", | 47 | "display_name": "Active Learning", | ||
48 | "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80", | 48 | "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80", | ||
49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
50 | "name": "active-learning", | 50 | "name": "active-learning", | ||
51 | "title": "Active Learning" | 51 | "title": "Active Learning" | ||
52 | }, | 52 | }, | ||
53 | { | 53 | { | ||
54 | "description": "", | 54 | "description": "", | ||
55 | "display_name": "Click-Through Rate Prediction", | 55 | "display_name": "Click-Through Rate Prediction", | ||
56 | "id": "ffb2e223-b618-489d-8dc5-9e06290eed67", | 56 | "id": "ffb2e223-b618-489d-8dc5-9e06290eed67", | ||
57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
58 | "name": "click-through-rate-prediction", | 58 | "name": "click-through-rate-prediction", | ||
59 | "title": "Click-Through Rate Prediction" | 59 | "title": "Click-Through Rate Prediction" | ||
60 | }, | 60 | }, | ||
61 | { | 61 | { | ||
62 | "description": "", | 62 | "description": "", | ||
63 | "display_name": "Heterogeneous Information Network", | 63 | "display_name": "Heterogeneous Information Network", | ||
64 | "id": "be319f6d-dfe9-4a85-be30-bba0b66b7413", | 64 | "id": "be319f6d-dfe9-4a85-be30-bba0b66b7413", | ||
65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
66 | "name": "heterogeneous-information-network", | 66 | "name": "heterogeneous-information-network", | ||
67 | "title": "Heterogeneous Information Network" | 67 | "title": "Heterogeneous Information Network" | ||
68 | }, | 68 | }, | ||
69 | { | 69 | { | ||
70 | "description": "", | 70 | "description": "", | ||
71 | "display_name": "Language Modeling", | 71 | "display_name": "Language Modeling", | ||
72 | "id": "f0c89329-f1ed-4ba3-90d2-5113fff9bf72", | 72 | "id": "f0c89329-f1ed-4ba3-90d2-5113fff9bf72", | ||
73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
74 | "name": "language-modeling", | 74 | "name": "language-modeling", | ||
75 | "title": "Language Modeling" | 75 | "title": "Language Modeling" | ||
76 | }, | 76 | }, | ||
77 | { | 77 | { | ||
78 | "description": "", | 78 | "description": "", | ||
79 | "display_name": "Movie Database", | 79 | "display_name": "Movie Database", | ||
80 | "id": "f609bafd-3ae1-4e59-ab8f-10ee6032cf7d", | 80 | "id": "f609bafd-3ae1-4e59-ab8f-10ee6032cf7d", | ||
81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
82 | "name": "movie-database", | 82 | "name": "movie-database", | ||
83 | "title": "Movie Database" | 83 | "title": "Movie Database" | ||
84 | }, | 84 | }, | ||
85 | { | 85 | { | ||
86 | "description": "", | 86 | "description": "", | ||
87 | "display_name": "Movie Review Analysis", | 87 | "display_name": "Movie Review Analysis", | ||
88 | "id": "1e406509-db9e-4884-92b3-156b4b5e0d07", | 88 | "id": "1e406509-db9e-4884-92b3-156b4b5e0d07", | ||
89 | "image_display_url": "", | 89 | "image_display_url": "", | ||
90 | "name": "movie-review-analysis", | 90 | "name": "movie-review-analysis", | ||
91 | "title": "Movie Review Analysis" | 91 | "title": "Movie Review Analysis" | ||
92 | }, | 92 | }, | ||
93 | { | 93 | { | ||
94 | "description": "", | 94 | "description": "", | ||
95 | "display_name": "Natural Language Processing", | 95 | "display_name": "Natural Language Processing", | ||
96 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 96 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
97 | "image_display_url": "", | 97 | "image_display_url": "", | ||
98 | "name": "natural-language-processing", | 98 | "name": "natural-language-processing", | ||
99 | "title": "Natural Language Processing" | 99 | "title": "Natural Language Processing" | ||
100 | }, | 100 | }, | ||
101 | { | 101 | { | ||
102 | "description": "", | 102 | "description": "", | ||
103 | "display_name": "Neural Machine Translation", | 103 | "display_name": "Neural Machine Translation", | ||
104 | "id": "7602a659-5e69-4c73-97f8-22a08c0522ad", | 104 | "id": "7602a659-5e69-4c73-97f8-22a08c0522ad", | ||
105 | "image_display_url": "", | 105 | "image_display_url": "", | ||
106 | "name": "neural-machine-translation", | 106 | "name": "neural-machine-translation", | ||
107 | "title": "Neural Machine Translation" | 107 | "title": "Neural Machine Translation" | ||
108 | }, | 108 | }, | ||
109 | { | 109 | { | ||
110 | "description": "", | 110 | "description": "", | ||
111 | "display_name": "Semantic Hashing", | 111 | "display_name": "Semantic Hashing", | ||
112 | "id": "b57b3dbb-708a-4d9b-b652-6270f484a0a4", | 112 | "id": "b57b3dbb-708a-4d9b-b652-6270f484a0a4", | ||
113 | "image_display_url": "", | 113 | "image_display_url": "", | ||
114 | "name": "semantic-hashing", | 114 | "name": "semantic-hashing", | ||
115 | "title": "Semantic Hashing" | 115 | "title": "Semantic Hashing" | ||
116 | }, | 116 | }, | ||
117 | { | 117 | { | ||
118 | "description": "", | 118 | "description": "", | ||
119 | "display_name": "Sentiment Analysis", | 119 | "display_name": "Sentiment Analysis", | ||
120 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | 120 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | ||
121 | "image_display_url": "", | 121 | "image_display_url": "", | ||
122 | "name": "sentiment-analysis", | 122 | "name": "sentiment-analysis", | ||
123 | "title": "Sentiment Analysis" | 123 | "title": "Sentiment Analysis" | ||
124 | }, | 124 | }, | ||
125 | { | 125 | { | ||
126 | "description": "", | 126 | "description": "", | ||
127 | "display_name": "Text Classification", | 127 | "display_name": "Text Classification", | ||
128 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | 128 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | ||
129 | "image_display_url": "", | 129 | "image_display_url": "", | ||
130 | "name": "text-classification", | 130 | "name": "text-classification", | ||
131 | "title": "Text Classification" | 131 | "title": "Text Classification" | ||
132 | } | 132 | } | ||
133 | ], | 133 | ], | ||
134 | "id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19", | 134 | "id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19", | ||
135 | "isopen": false, | 135 | "isopen": false, | ||
136 | "landing_page": "https://www.imdb.com/", | 136 | "landing_page": "https://www.imdb.com/", | ||
137 | "license_title": null, | 137 | "license_title": null, | ||
138 | "link_orkg": "", | 138 | "link_orkg": "", | ||
139 | "metadata_created": "2024-11-25T14:19:14.945977", | 139 | "metadata_created": "2024-11-25T14:19:14.945977", | ||
n | 140 | "metadata_modified": "2024-12-02T18:01:35.131141", | n | 140 | "metadata_modified": "2024-12-02T18:01:36.163234", |
141 | "name": "imdb", | 141 | "name": "imdb", | ||
142 | "notes": "The dataset used in the paper is not explicitly described, | 142 | "notes": "The dataset used in the paper is not explicitly described, | ||
143 | but it is mentioned that the authors tested the proposed method on | 143 | but it is mentioned that the authors tested the proposed method on | ||
144 | three real data sets for the most relevant security and privacy | 144 | three real data sets for the most relevant security and privacy | ||
145 | attacks discussed above.", | 145 | attacks discussed above.", | ||
n | 146 | "num_resources": 0, | n | 146 | "num_resources": 1, |
147 | "num_tags": 26, | 147 | "num_tags": 26, | ||
148 | "organization": { | 148 | "organization": { | ||
149 | "approval_status": "approved", | 149 | "approval_status": "approved", | ||
150 | "created": "2024-11-25T12:11:38.292601", | 150 | "created": "2024-11-25T12:11:38.292601", | ||
151 | "description": "", | 151 | "description": "", | ||
152 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 152 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
153 | "image_url": "", | 153 | "image_url": "", | ||
154 | "is_organization": true, | 154 | "is_organization": true, | ||
155 | "name": "no-organization", | 155 | "name": "no-organization", | ||
156 | "state": "active", | 156 | "state": "active", | ||
157 | "title": "No Organization", | 157 | "title": "No Organization", | ||
158 | "type": "organization" | 158 | "type": "organization" | ||
159 | }, | 159 | }, | ||
160 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 160 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
161 | "private": false, | 161 | "private": false, | ||
162 | "relationships_as_object": [], | 162 | "relationships_as_object": [], | ||
163 | "relationships_as_subject": [], | 163 | "relationships_as_subject": [], | ||
t | 164 | "resources": [], | t | 164 | "resources": [ |
165 | { | ||||
166 | "cache_last_updated": null, | ||||
167 | "cache_url": null, | ||||
168 | "created": "2024-12-02T18:38:42", | ||||
169 | "data": [ | ||||
170 | "dcterms:title", | ||||
171 | "dcterms:accessRights", | ||||
172 | "dcterms:creator", | ||||
173 | "dcterms:description", | ||||
174 | "dcterms:issued", | ||||
175 | "dcterms:language", | ||||
176 | "dcterms:identifier", | ||||
177 | "dcat:theme", | ||||
178 | "dcterms:type", | ||||
179 | "dcat:keyword", | ||||
180 | "dcat:landingPage", | ||||
181 | "dcterms:hasVersion", | ||||
182 | "dcterms:format", | ||||
183 | "mls:task", | ||||
184 | "datacite:isDescribedBy" | ||||
185 | ], | ||||
186 | "description": "The json representation of the dataset with its | ||||
187 | distributions based on DCAT.", | ||||
188 | "format": "JSON", | ||||
189 | "hash": "", | ||||
190 | "id": "721b55a0-796a-492d-a967-0d3df0f4bcac", | ||||
191 | "last_modified": "2024-12-02T18:01:36.152564", | ||||
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193 | "mimetype": "application/json", | ||||
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195 | "name": "Original Metadata", | ||||
196 | "package_id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19", | ||||
197 | "position": 0, | ||||
198 | "resource_type": null, | ||||
199 | "size": 2362, | ||||
200 | "state": "active", | ||||
201 | "url": | ||||
202 | resource/721b55a0-796a-492d-a967-0d3df0f4bcac/download/metadata.json", | ||||
203 | "url_type": "upload" | ||||
204 | } | ||||
205 | ], | ||||
165 | "services_used_list": "", | 206 | "services_used_list": "", | ||
166 | "state": "active", | 207 | "state": "active", | ||
167 | "tags": [ | 208 | "tags": [ | ||
168 | { | 209 | { | ||
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179 | "state": "active", | 220 | "state": "active", | ||
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194 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
195 | }, | 236 | }, | ||
196 | { | 237 | { | ||
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202 | }, | 243 | }, | ||
203 | { | 244 | { | ||
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206 | "name": "IMDB dataset", | 247 | "name": "IMDB dataset", | ||
207 | "state": "active", | 248 | "state": "active", | ||
208 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
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210 | { | 251 | { | ||
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213 | "name": "Movie", | 254 | "name": "Movie", | ||
214 | "state": "active", | 255 | "state": "active", | ||
215 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
216 | }, | 257 | }, | ||
217 | { | 258 | { | ||
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219 | "id": "cbb54605-5cf0-4b31-978b-591886df0110", | 260 | "id": "cbb54605-5cf0-4b31-978b-591886df0110", | ||
220 | "name": "Movie Review Analysis", | 261 | "name": "Movie Review Analysis", | ||
221 | "state": "active", | 262 | "state": "active", | ||
222 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
223 | }, | 264 | }, | ||
224 | { | 265 | { | ||
225 | "display_name": "Movie Reviews", | 266 | "display_name": "Movie Reviews", | ||
226 | "id": "59753ff1-2a99-4c10-bb0e-cf07e0328dd5", | 267 | "id": "59753ff1-2a99-4c10-bb0e-cf07e0328dd5", | ||
227 | "name": "Movie Reviews", | 268 | "name": "Movie Reviews", | ||
228 | "state": "active", | 269 | "state": "active", | ||
229 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
230 | }, | 271 | }, | ||
231 | { | 272 | { | ||
232 | "display_name": "Natural Language Processing", | 273 | "display_name": "Natural Language Processing", | ||
233 | "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe", | 274 | "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe", | ||
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235 | "state": "active", | 276 | "state": "active", | ||
236 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
237 | }, | 278 | }, | ||
238 | { | 279 | { | ||
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241 | "name": "Sentiment Analysis", | 282 | "name": "Sentiment Analysis", | ||
242 | "state": "active", | 283 | "state": "active", | ||
243 | "vocabulary_id": null | 284 | "vocabulary_id": null | ||
244 | }, | 285 | }, | ||
245 | { | 286 | { | ||
246 | "display_name": "Text Classification", | 287 | "display_name": "Text Classification", | ||
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249 | "state": "active", | 290 | "state": "active", | ||
250 | "vocabulary_id": null | 291 | "vocabulary_id": null | ||
251 | }, | 292 | }, | ||
252 | { | 293 | { | ||
253 | "display_name": "Uncertainty Sampling", | 294 | "display_name": "Uncertainty Sampling", | ||
254 | "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95", | 295 | "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95", | ||
255 | "name": "Uncertainty Sampling", | 296 | "name": "Uncertainty Sampling", | ||
256 | "state": "active", | 297 | "state": "active", | ||
257 | "vocabulary_id": null | 298 | "vocabulary_id": null | ||
258 | }, | 299 | }, | ||
259 | { | 300 | { | ||
260 | "display_name": "adversarial examples", | 301 | "display_name": "adversarial examples", | ||
261 | "id": "275f5a88-6f12-4411-84d2-3dc61a9c5013", | 302 | "id": "275f5a88-6f12-4411-84d2-3dc61a9c5013", | ||
262 | "name": "adversarial examples", | 303 | "name": "adversarial examples", | ||
263 | "state": "active", | 304 | "state": "active", | ||
264 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
265 | }, | 306 | }, | ||
266 | { | 307 | { | ||
267 | "display_name": "click-through rate prediction", | 308 | "display_name": "click-through rate prediction", | ||
268 | "id": "f66389e6-c5f9-4c39-94ab-0f8ec2b185d5", | 309 | "id": "f66389e6-c5f9-4c39-94ab-0f8ec2b185d5", | ||
269 | "name": "click-through rate prediction", | 310 | "name": "click-through rate prediction", | ||
270 | "state": "active", | 311 | "state": "active", | ||
271 | "vocabulary_id": null | 312 | "vocabulary_id": null | ||
272 | }, | 313 | }, | ||
273 | { | 314 | { | ||
274 | "display_name": "database", | 315 | "display_name": "database", | ||
275 | "id": "2cd76710-0436-4df5-9f46-64ddd9841b46", | 316 | "id": "2cd76710-0436-4df5-9f46-64ddd9841b46", | ||
276 | "name": "database", | 317 | "name": "database", | ||
277 | "state": "active", | 318 | "state": "active", | ||
278 | "vocabulary_id": null | 319 | "vocabulary_id": null | ||
279 | }, | 320 | }, | ||
280 | { | 321 | { | ||
281 | "display_name": "heterogeneous information network", | 322 | "display_name": "heterogeneous information network", | ||
282 | "id": "6751708f-bea2-43e4-b618-e5a499930bc3", | 323 | "id": "6751708f-bea2-43e4-b618-e5a499930bc3", | ||
283 | "name": "heterogeneous information network", | 324 | "name": "heterogeneous information network", | ||
284 | "state": "active", | 325 | "state": "active", | ||
285 | "vocabulary_id": null | 326 | "vocabulary_id": null | ||
286 | }, | 327 | }, | ||
287 | { | 328 | { | ||
288 | "display_name": "language modeling", | 329 | "display_name": "language modeling", | ||
289 | "id": "44eb2c4c-e2cd-4698-bf3c-28ebbd5e3e42", | 330 | "id": "44eb2c4c-e2cd-4698-bf3c-28ebbd5e3e42", | ||
290 | "name": "language modeling", | 331 | "name": "language modeling", | ||
291 | "state": "active", | 332 | "state": "active", | ||
292 | "vocabulary_id": null | 333 | "vocabulary_id": null | ||
293 | }, | 334 | }, | ||
294 | { | 335 | { | ||
295 | "display_name": "movie reviews", | 336 | "display_name": "movie reviews", | ||
296 | "id": "50bfc758-267e-45ec-b907-877ef824c510", | 337 | "id": "50bfc758-267e-45ec-b907-877ef824c510", | ||
297 | "name": "movie reviews", | 338 | "name": "movie reviews", | ||
298 | "state": "active", | 339 | "state": "active", | ||
299 | "vocabulary_id": null | 340 | "vocabulary_id": null | ||
300 | }, | 341 | }, | ||
301 | { | 342 | { | ||
302 | "display_name": "movies", | 343 | "display_name": "movies", | ||
303 | "id": "2703ed1c-3434-4421-8341-ea0fc8babf05", | 344 | "id": "2703ed1c-3434-4421-8341-ea0fc8babf05", | ||
304 | "name": "movies", | 345 | "name": "movies", | ||
305 | "state": "active", | 346 | "state": "active", | ||
306 | "vocabulary_id": null | 347 | "vocabulary_id": null | ||
307 | }, | 348 | }, | ||
308 | { | 349 | { | ||
309 | "display_name": "neural machine translation", | 350 | "display_name": "neural machine translation", | ||
310 | "id": "d5a5cc9e-64db-444b-83af-9f1d0b9e1030", | 351 | "id": "d5a5cc9e-64db-444b-83af-9f1d0b9e1030", | ||
311 | "name": "neural machine translation", | 352 | "name": "neural machine translation", | ||
312 | "state": "active", | 353 | "state": "active", | ||
313 | "vocabulary_id": null | 354 | "vocabulary_id": null | ||
314 | }, | 355 | }, | ||
315 | { | 356 | { | ||
316 | "display_name": "object classi\ufb01cation", | 357 | "display_name": "object classi\ufb01cation", | ||
317 | "id": "88aab438-9fb5-473e-9148-250fd13209df", | 358 | "id": "88aab438-9fb5-473e-9148-250fd13209df", | ||
318 | "name": "object classi\ufb01cation", | 359 | "name": "object classi\ufb01cation", | ||
319 | "state": "active", | 360 | "state": "active", | ||
320 | "vocabulary_id": null | 361 | "vocabulary_id": null | ||
321 | }, | 362 | }, | ||
322 | { | 363 | { | ||
323 | "display_name": "semantic hashing", | 364 | "display_name": "semantic hashing", | ||
324 | "id": "251600e5-5824-4127-a19a-6edf6619b6d8", | 365 | "id": "251600e5-5824-4127-a19a-6edf6619b6d8", | ||
325 | "name": "semantic hashing", | 366 | "name": "semantic hashing", | ||
326 | "state": "active", | 367 | "state": "active", | ||
327 | "vocabulary_id": null | 368 | "vocabulary_id": null | ||
328 | }, | 369 | }, | ||
329 | { | 370 | { | ||
330 | "display_name": "sentiment analysis", | 371 | "display_name": "sentiment analysis", | ||
331 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | 372 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | ||
332 | "name": "sentiment analysis", | 373 | "name": "sentiment analysis", | ||
333 | "state": "active", | 374 | "state": "active", | ||
334 | "vocabulary_id": null | 375 | "vocabulary_id": null | ||
335 | }, | 376 | }, | ||
336 | { | 377 | { | ||
337 | "display_name": "text classification", | 378 | "display_name": "text classification", | ||
338 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | 379 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | ||
339 | "name": "text classification", | 380 | "name": "text classification", | ||
340 | "state": "active", | 381 | "state": "active", | ||
341 | "vocabulary_id": null | 382 | "vocabulary_id": null | ||
342 | }, | 383 | }, | ||
343 | { | 384 | { | ||
344 | "display_name": "text documents", | 385 | "display_name": "text documents", | ||
345 | "id": "fc5d22c3-e0d0-45c6-b5dd-1eeb8739694f", | 386 | "id": "fc5d22c3-e0d0-45c6-b5dd-1eeb8739694f", | ||
346 | "name": "text documents", | 387 | "name": "text documents", | ||
347 | "state": "active", | 388 | "state": "active", | ||
348 | "vocabulary_id": null | 389 | "vocabulary_id": null | ||
349 | } | 390 | } | ||
350 | ], | 391 | ], | ||
351 | "title": "IMDB", | 392 | "title": "IMDB", | ||
352 | "type": "dataset", | 393 | "type": "dataset", | ||
353 | "version": "" | 394 | "version": "" | ||
354 | } | 395 | } |