Changes
On December 2, 2024 at 10:24:56 PM UTC, admin:
-
Added resource Original Metadata to Synthetic Data
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Gemma E. Moran", | 3 | "author": "Gemma E. Moran", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2401.02665", | 6 | "https://doi.org/10.48550/arXiv.2401.02665", | ||
7 | "https://doi.org/10.48550/arXiv.2008.07720", | 7 | "https://doi.org/10.48550/arXiv.2008.07720", | ||
8 | "https://doi.org/10.48550/arXiv.1906.03323", | 8 | "https://doi.org/10.48550/arXiv.1906.03323", | ||
9 | "https://doi.org/10.48550/arXiv.2405.05430", | 9 | "https://doi.org/10.48550/arXiv.2405.05430", | ||
10 | "https://doi.org/10.48550/arXiv.2110.10804", | 10 | "https://doi.org/10.48550/arXiv.2110.10804", | ||
11 | "https://doi.org/10.48550/arXiv.2002.01599", | 11 | "https://doi.org/10.48550/arXiv.2002.01599", | ||
12 | "https://doi.org/10.48550/arXiv.2206.05490", | 12 | "https://doi.org/10.48550/arXiv.2206.05490", | ||
13 | "https://doi.org/10.48550/arXiv.1904.03483", | 13 | "https://doi.org/10.48550/arXiv.1904.03483", | ||
14 | "https://doi.org/10.1016/j.neunet.2019.04.020", | 14 | "https://doi.org/10.1016/j.neunet.2019.04.020", | ||
15 | "https://doi.org/10.48550/arXiv.2308.08321" | 15 | "https://doi.org/10.48550/arXiv.2308.08321" | ||
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/10.48550/arXiv.2012.04580", | 18 | "defined_in": "https://doi.org/10.48550/arXiv.2012.04580", | ||
19 | "doi": "10.57702/ud58iifq", | 19 | "doi": "10.57702/ud58iifq", | ||
20 | "doi_date_published": "2024-12-02", | 20 | "doi_date_published": "2024-12-02", | ||
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": "Dhanya Sridhar", | 26 | "extra_author": "Dhanya Sridhar", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Yixin Wang", | 30 | "extra_author": "Yixin Wang", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "extra_author": "David M. Blei", | 34 | "extra_author": "David M. Blei", | ||
35 | "orcid": "" | 35 | "orcid": "" | ||
36 | } | 36 | } | ||
37 | ], | 37 | ], | ||
38 | "groups": [ | 38 | "groups": [ | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "Data Augmentation", | 41 | "display_name": "Data Augmentation", | ||
42 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | 42 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "data-augmentation", | 44 | "name": "data-augmentation", | ||
45 | "title": "Data Augmentation" | 45 | "title": "Data Augmentation" | ||
46 | }, | 46 | }, | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Image Classification", | 49 | "display_name": "Image Classification", | ||
50 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 50 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "image-classification", | 52 | "name": "image-classification", | ||
53 | "title": "Image Classification" | 53 | "title": "Image Classification" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Image Segmentation", | 57 | "display_name": "Image Segmentation", | ||
58 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 58 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "image-segmentation", | 60 | "name": "image-segmentation", | ||
61 | "title": "Image Segmentation" | 61 | "title": "Image Segmentation" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Location-Aware", | 65 | "display_name": "Location-Aware", | ||
66 | "id": "9e7539ae-ddb5-4d79-956a-51a4536b89d4", | 66 | "id": "9e7539ae-ddb5-4d79-956a-51a4536b89d4", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "location-aware", | 68 | "name": "location-aware", | ||
69 | "title": "Location-Aware" | 69 | "title": "Location-Aware" | ||
70 | }, | 70 | }, | ||
71 | { | 71 | { | ||
72 | "description": "", | 72 | "description": "", | ||
73 | "display_name": "Machine Learning", | 73 | "display_name": "Machine Learning", | ||
74 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 74 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
76 | "name": "machine-learning", | 76 | "name": "machine-learning", | ||
77 | "title": "Machine Learning" | 77 | "title": "Machine Learning" | ||
78 | }, | 78 | }, | ||
79 | { | 79 | { | ||
80 | "description": "", | 80 | "description": "", | ||
81 | "display_name": "Off-Policy Contextual Bandits", | 81 | "display_name": "Off-Policy Contextual Bandits", | ||
82 | "id": "ef694ebd-912e-4c12-9234-afe5768d1b37", | 82 | "id": "ef694ebd-912e-4c12-9234-afe5768d1b37", | ||
83 | "image_display_url": "", | 83 | "image_display_url": "", | ||
84 | "name": "off-policy-contextual-bandits", | 84 | "name": "off-policy-contextual-bandits", | ||
85 | "title": "Off-Policy Contextual Bandits" | 85 | "title": "Off-Policy Contextual Bandits" | ||
86 | }, | 86 | }, | ||
87 | { | 87 | { | ||
88 | "description": "", | 88 | "description": "", | ||
89 | "display_name": "Point Cloud Registration", | 89 | "display_name": "Point Cloud Registration", | ||
90 | "id": "e398e0a7-92f5-41dd-ad91-6fd71b7c83c7", | 90 | "id": "e398e0a7-92f5-41dd-ad91-6fd71b7c83c7", | ||
91 | "image_display_url": "", | 91 | "image_display_url": "", | ||
92 | "name": "point-cloud-registration", | 92 | "name": "point-cloud-registration", | ||
93 | "title": "Point Cloud Registration" | 93 | "title": "Point Cloud Registration" | ||
94 | }, | 94 | }, | ||
95 | { | 95 | { | ||
96 | "description": "", | 96 | "description": "", | ||
97 | "display_name": "Question Answering", | 97 | "display_name": "Question Answering", | ||
98 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 98 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
99 | "image_display_url": "", | 99 | "image_display_url": "", | ||
100 | "name": "question-answering", | 100 | "name": "question-answering", | ||
101 | "title": "Question Answering" | 101 | "title": "Question Answering" | ||
102 | }, | 102 | }, | ||
103 | { | 103 | { | ||
104 | "description": "", | 104 | "description": "", | ||
105 | "display_name": "Synthetic data", | 105 | "display_name": "Synthetic data", | ||
106 | "id": "811b488a-c719-4335-b1f5-20ffcb5b1bb4", | 106 | "id": "811b488a-c719-4335-b1f5-20ffcb5b1bb4", | ||
107 | "image_display_url": "", | 107 | "image_display_url": "", | ||
108 | "name": "synthetic-data", | 108 | "name": "synthetic-data", | ||
109 | "title": "Synthetic data" | 109 | "title": "Synthetic data" | ||
110 | }, | 110 | }, | ||
111 | { | 111 | { | ||
112 | "description": "", | 112 | "description": "", | ||
113 | "display_name": "Synthetic data generation", | 113 | "display_name": "Synthetic data generation", | ||
114 | "id": "366cfe42-f42f-432c-9315-8aedd48ac429", | 114 | "id": "366cfe42-f42f-432c-9315-8aedd48ac429", | ||
115 | "image_display_url": "", | 115 | "image_display_url": "", | ||
116 | "name": "synthetic-data-generation", | 116 | "name": "synthetic-data-generation", | ||
117 | "title": "Synthetic data generation" | 117 | "title": "Synthetic data generation" | ||
118 | }, | 118 | }, | ||
119 | { | 119 | { | ||
120 | "description": "", | 120 | "description": "", | ||
121 | "display_name": "Time Series Forecasting", | 121 | "display_name": "Time Series Forecasting", | ||
122 | "id": "2d0040ff-e50c-4b62-a5dc-c4c0241f05f1", | 122 | "id": "2d0040ff-e50c-4b62-a5dc-c4c0241f05f1", | ||
123 | "image_display_url": "", | 123 | "image_display_url": "", | ||
124 | "name": "time-series-forecasting", | 124 | "name": "time-series-forecasting", | ||
125 | "title": "Time Series Forecasting" | 125 | "title": "Time Series Forecasting" | ||
126 | } | 126 | } | ||
127 | ], | 127 | ], | ||
128 | "id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | 128 | "id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | ||
129 | "isopen": false, | 129 | "isopen": false, | ||
130 | "landing_page": "https://arxiv.org/abs/2202.03465", | 130 | "landing_page": "https://arxiv.org/abs/2202.03465", | ||
131 | "license_title": null, | 131 | "license_title": null, | ||
132 | "link_orkg": "", | 132 | "link_orkg": "", | ||
133 | "metadata_created": "2024-12-02T22:19:28.615127", | 133 | "metadata_created": "2024-12-02T22:19:28.615127", | ||
n | 134 | "metadata_modified": "2024-12-02T22:24:53.447029", | n | 134 | "metadata_modified": "2024-12-02T22:24:55.789315", |
135 | "name": "synthetic-data", | 135 | "name": "synthetic-data", | ||
136 | "notes": "The dataset used in the paper is a synthetic dataset for | 136 | "notes": "The dataset used in the paper is a synthetic dataset for | ||
137 | off-policy contextual bandits, with contexts x \u2208 X, a finite set | 137 | off-policy contextual bandits, with contexts x \u2208 X, a finite set | ||
138 | of actions A, and bounded real rewards r \u2208 A \u2192 [0, 1].", | 138 | of actions A, and bounded real rewards r \u2208 A \u2192 [0, 1].", | ||
n | 139 | "num_resources": 0, | n | 139 | "num_resources": 1, |
140 | "num_tags": 27, | 140 | "num_tags": 27, | ||
141 | "organization": { | 141 | "organization": { | ||
142 | "approval_status": "approved", | 142 | "approval_status": "approved", | ||
143 | "created": "2024-11-25T12:11:38.292601", | 143 | "created": "2024-11-25T12:11:38.292601", | ||
144 | "description": "", | 144 | "description": "", | ||
145 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 145 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
146 | "image_url": "", | 146 | "image_url": "", | ||
147 | "is_organization": true, | 147 | "is_organization": true, | ||
148 | "name": "no-organization", | 148 | "name": "no-organization", | ||
149 | "state": "active", | 149 | "state": "active", | ||
150 | "title": "No Organization", | 150 | "title": "No Organization", | ||
151 | "type": "organization" | 151 | "type": "organization" | ||
152 | }, | 152 | }, | ||
153 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 153 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
154 | "private": false, | 154 | "private": false, | ||
155 | "relationships_as_object": [], | 155 | "relationships_as_object": [], | ||
156 | "relationships_as_subject": [], | 156 | "relationships_as_subject": [], | ||
t | 157 | "resources": [], | t | 157 | "resources": [ |
158 | { | ||||
159 | "cache_last_updated": null, | ||||
160 | "cache_url": null, | ||||
161 | "created": "2024-12-02T22:29:38", | ||||
162 | "data": [ | ||||
163 | "dcterms:title", | ||||
164 | "dcterms:accessRights", | ||||
165 | "dcterms:creator", | ||||
166 | "dcterms:description", | ||||
167 | "dcterms:issued", | ||||
168 | "dcterms:language", | ||||
169 | "dcterms:identifier", | ||||
170 | "dcat:theme", | ||||
171 | "dcterms:type", | ||||
172 | "dcat:keyword", | ||||
173 | "dcat:landingPage", | ||||
174 | "dcterms:hasVersion", | ||||
175 | "dcterms:format", | ||||
176 | "mls:task", | ||||
177 | "datacite:isDescribedBy" | ||||
178 | ], | ||||
179 | "description": "The json representation of the dataset with its | ||||
180 | distributions based on DCAT.", | ||||
181 | "format": "JSON", | ||||
182 | "hash": "", | ||||
183 | "id": "85be4f8c-476b-45bd-813c-b1fc8fd35e93", | ||||
184 | "last_modified": "2024-12-02T22:24:55.778388", | ||||
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186 | "mimetype": "application/json", | ||||
187 | "mimetype_inner": null, | ||||
188 | "name": "Original Metadata", | ||||
189 | "package_id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | ||||
190 | "position": 0, | ||||
191 | "resource_type": null, | ||||
192 | "size": 2096, | ||||
193 | "state": "active", | ||||
194 | "url": | ||||
195 | resource/85be4f8c-476b-45bd-813c-b1fc8fd35e93/download/metadata.json", | ||||
196 | "url_type": "upload" | ||||
197 | } | ||||
198 | ], | ||||
158 | "services_used_list": "", | 199 | "services_used_list": "", | ||
159 | "state": "active", | 200 | "state": "active", | ||
160 | "tags": [ | 201 | "tags": [ | ||
161 | { | 202 | { | ||
162 | "display_name": "Bayesian Networks", | 203 | "display_name": "Bayesian Networks", | ||
163 | "id": "b9b7d27f-fe47-490f-b71d-e6e34485df13", | 204 | "id": "b9b7d27f-fe47-490f-b71d-e6e34485df13", | ||
164 | "name": "Bayesian Networks", | 205 | "name": "Bayesian Networks", | ||
165 | "state": "active", | 206 | "state": "active", | ||
166 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
167 | }, | 208 | }, | ||
168 | { | 209 | { | ||
169 | "display_name": "Correspondences", | 210 | "display_name": "Correspondences", | ||
170 | "id": "45449dc7-175d-4a96-8bd0-3d6e637a06fb", | 211 | "id": "45449dc7-175d-4a96-8bd0-3d6e637a06fb", | ||
171 | "name": "Correspondences", | 212 | "name": "Correspondences", | ||
172 | "state": "active", | 213 | "state": "active", | ||
173 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
174 | }, | 215 | }, | ||
175 | { | 216 | { | ||
176 | "display_name": "DMD", | 217 | "display_name": "DMD", | ||
177 | "id": "3463bd71-0577-4d45-ac27-055b59dd6a53", | 218 | "id": "3463bd71-0577-4d45-ac27-055b59dd6a53", | ||
178 | "name": "DMD", | 219 | "name": "DMD", | ||
179 | "state": "active", | 220 | "state": "active", | ||
180 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
181 | }, | 222 | }, | ||
182 | { | 223 | { | ||
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184 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | 225 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | ||
185 | "name": "Data Augmentation", | 226 | "name": "Data Augmentation", | ||
186 | "state": "active", | 227 | "state": "active", | ||
187 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
188 | }, | 229 | }, | ||
189 | { | 230 | { | ||
190 | "display_name": "GANs", | 231 | "display_name": "GANs", | ||
191 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | 232 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | ||
192 | "name": "GANs", | 233 | "name": "GANs", | ||
193 | "state": "active", | 234 | "state": "active", | ||
194 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
195 | }, | 236 | }, | ||
196 | { | 237 | { | ||
197 | "display_name": "Generative Models", | 238 | "display_name": "Generative Models", | ||
198 | "id": "dafd9c1f-394f-4d88-9c07-5801683e057a", | 239 | "id": "dafd9c1f-394f-4d88-9c07-5801683e057a", | ||
199 | "name": "Generative Models", | 240 | "name": "Generative Models", | ||
200 | "state": "active", | 241 | "state": "active", | ||
201 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
202 | }, | 243 | }, | ||
203 | { | 244 | { | ||
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205 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 246 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
206 | "name": "Image Classification", | 247 | "name": "Image Classification", | ||
207 | "state": "active", | 248 | "state": "active", | ||
208 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
209 | }, | 250 | }, | ||
210 | { | 251 | { | ||
211 | "display_name": "Image segmentation", | 252 | "display_name": "Image segmentation", | ||
212 | "id": "8ab34344-1929-4cd3-a55a-af732b0cf13b", | 253 | "id": "8ab34344-1929-4cd3-a55a-af732b0cf13b", | ||
213 | "name": "Image segmentation", | 254 | "name": "Image segmentation", | ||
214 | "state": "active", | 255 | "state": "active", | ||
215 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
216 | }, | 257 | }, | ||
217 | { | 258 | { | ||
218 | "display_name": "Linear Models", | 259 | "display_name": "Linear Models", | ||
219 | "id": "70606ecb-b0c8-40c1-aa56-fb0af35ad8ec", | 260 | "id": "70606ecb-b0c8-40c1-aa56-fb0af35ad8ec", | ||
220 | "name": "Linear Models", | 261 | "name": "Linear Models", | ||
221 | "state": "active", | 262 | "state": "active", | ||
222 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
223 | }, | 264 | }, | ||
224 | { | 265 | { | ||
225 | "display_name": "Location-Aware", | 266 | "display_name": "Location-Aware", | ||
226 | "id": "e7ab05fe-a918-4c3e-9bf0-fc54e3550705", | 267 | "id": "e7ab05fe-a918-4c3e-9bf0-fc54e3550705", | ||
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228 | "state": "active", | 269 | "state": "active", | ||
229 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
230 | }, | 271 | }, | ||
231 | { | 272 | { | ||
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233 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | 274 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | ||
234 | "name": "Machine Learning", | 275 | "name": "Machine Learning", | ||
235 | "state": "active", | 276 | "state": "active", | ||
236 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
237 | }, | 278 | }, | ||
238 | { | 279 | { | ||
239 | "display_name": "Object Masking", | 280 | "display_name": "Object Masking", | ||
240 | "id": "0b16400f-e7de-411f-8eaa-90ebd5a94f54", | 281 | "id": "0b16400f-e7de-411f-8eaa-90ebd5a94f54", | ||
241 | "name": "Object Masking", | 282 | "name": "Object Masking", | ||
242 | "state": "active", | 283 | "state": "active", | ||
243 | "vocabulary_id": null | 284 | "vocabulary_id": null | ||
244 | }, | 285 | }, | ||
245 | { | 286 | { | ||
246 | "display_name": "Ornstein-Uhlenbeck process", | 287 | "display_name": "Ornstein-Uhlenbeck process", | ||
247 | "id": "03f0385a-d99d-48e2-ab6f-6afa82b54ac6", | 288 | "id": "03f0385a-d99d-48e2-ab6f-6afa82b54ac6", | ||
248 | "name": "Ornstein-Uhlenbeck process", | 289 | "name": "Ornstein-Uhlenbeck process", | ||
249 | "state": "active", | 290 | "state": "active", | ||
250 | "vocabulary_id": null | 291 | "vocabulary_id": null | ||
251 | }, | 292 | }, | ||
252 | { | 293 | { | ||
253 | "display_name": "Point Cloud", | 294 | "display_name": "Point Cloud", | ||
254 | "id": "23509753-62ca-44b6-adcc-aa97e99d8cee", | 295 | "id": "23509753-62ca-44b6-adcc-aa97e99d8cee", | ||
255 | "name": "Point Cloud", | 296 | "name": "Point Cloud", | ||
256 | "state": "active", | 297 | "state": "active", | ||
257 | "vocabulary_id": null | 298 | "vocabulary_id": null | ||
258 | }, | 299 | }, | ||
259 | { | 300 | { | ||
260 | "display_name": "Potts model", | 301 | "display_name": "Potts model", | ||
261 | "id": "8de02c1d-7298-4cbe-98ad-755e512c0a67", | 302 | "id": "8de02c1d-7298-4cbe-98ad-755e512c0a67", | ||
262 | "name": "Potts model", | 303 | "name": "Potts model", | ||
263 | "state": "active", | 304 | "state": "active", | ||
264 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
265 | }, | 306 | }, | ||
266 | { | 307 | { | ||
267 | "display_name": "Registration", | 308 | "display_name": "Registration", | ||
268 | "id": "d7844ba8-947a-42cc-b2d4-c388413ca623", | 309 | "id": "d7844ba8-947a-42cc-b2d4-c388413ca623", | ||
269 | "name": "Registration", | 310 | "name": "Registration", | ||
270 | "state": "active", | 311 | "state": "active", | ||
271 | "vocabulary_id": null | 312 | "vocabulary_id": null | ||
272 | }, | 313 | }, | ||
273 | { | 314 | { | ||
274 | "display_name": "Synthetic Data", | 315 | "display_name": "Synthetic Data", | ||
275 | "id": "3acddc74-a4df-4bb0-8962-ea0a27c72454", | 316 | "id": "3acddc74-a4df-4bb0-8962-ea0a27c72454", | ||
276 | "name": "Synthetic Data", | 317 | "name": "Synthetic Data", | ||
277 | "state": "active", | 318 | "state": "active", | ||
278 | "vocabulary_id": null | 319 | "vocabulary_id": null | ||
279 | }, | 320 | }, | ||
280 | { | 321 | { | ||
281 | "display_name": "Synthetic Data Generation", | 322 | "display_name": "Synthetic Data Generation", | ||
282 | "id": "75d9cd3d-3561-4dc5-b53f-1587ae9d23a1", | 323 | "id": "75d9cd3d-3561-4dc5-b53f-1587ae9d23a1", | ||
283 | "name": "Synthetic Data Generation", | 324 | "name": "Synthetic Data Generation", | ||
284 | "state": "active", | 325 | "state": "active", | ||
285 | "vocabulary_id": null | 326 | "vocabulary_id": null | ||
286 | }, | 327 | }, | ||
287 | { | 328 | { | ||
288 | "display_name": "Synthetic data", | 329 | "display_name": "Synthetic data", | ||
289 | "id": "61b714ce-435e-4f7d-89c8-d37aa9d1c178", | 330 | "id": "61b714ce-435e-4f7d-89c8-d37aa9d1c178", | ||
290 | "name": "Synthetic data", | 331 | "name": "Synthetic data", | ||
291 | "state": "active", | 332 | "state": "active", | ||
292 | "vocabulary_id": null | 333 | "vocabulary_id": null | ||
293 | }, | 334 | }, | ||
294 | { | 335 | { | ||
295 | "display_name": "Time Series", | 336 | "display_name": "Time Series", | ||
296 | "id": "cb3036eb-2914-4e95-9ed3-111e2f4d13d6", | 337 | "id": "cb3036eb-2914-4e95-9ed3-111e2f4d13d6", | ||
297 | "name": "Time Series", | 338 | "name": "Time Series", | ||
298 | "state": "active", | 339 | "state": "active", | ||
299 | "vocabulary_id": null | 340 | "vocabulary_id": null | ||
300 | }, | 341 | }, | ||
301 | { | 342 | { | ||
302 | "display_name": "VAEs", | 343 | "display_name": "VAEs", | ||
303 | "id": "bc4f8f0a-27bd-4027-92ff-f944fd68f0fd", | 344 | "id": "bc4f8f0a-27bd-4027-92ff-f944fd68f0fd", | ||
304 | "name": "VAEs", | 345 | "name": "VAEs", | ||
305 | "state": "active", | 346 | "state": "active", | ||
306 | "vocabulary_id": null | 347 | "vocabulary_id": null | ||
307 | }, | 348 | }, | ||
308 | { | 349 | { | ||
309 | "display_name": "contextual bandits", | 350 | "display_name": "contextual bandits", | ||
310 | "id": "7a31b39c-4847-47a6-ba5d-caea872f0a9f", | 351 | "id": "7a31b39c-4847-47a6-ba5d-caea872f0a9f", | ||
311 | "name": "contextual bandits", | 352 | "name": "contextual bandits", | ||
312 | "state": "active", | 353 | "state": "active", | ||
313 | "vocabulary_id": null | 354 | "vocabulary_id": null | ||
314 | }, | 355 | }, | ||
315 | { | 356 | { | ||
316 | "display_name": "off-policy", | 357 | "display_name": "off-policy", | ||
317 | "id": "db7e595d-861d-41e1-a918-765755ed3383", | 358 | "id": "db7e595d-861d-41e1-a918-765755ed3383", | ||
318 | "name": "off-policy", | 359 | "name": "off-policy", | ||
319 | "state": "active", | 360 | "state": "active", | ||
320 | "vocabulary_id": null | 361 | "vocabulary_id": null | ||
321 | }, | 362 | }, | ||
322 | { | 363 | { | ||
323 | "display_name": "question answering", | 364 | "display_name": "question answering", | ||
324 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 365 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
325 | "name": "question answering", | 366 | "name": "question answering", | ||
326 | "state": "active", | 367 | "state": "active", | ||
327 | "vocabulary_id": null | 368 | "vocabulary_id": null | ||
328 | }, | 369 | }, | ||
329 | { | 370 | { | ||
330 | "display_name": "single entity", | 371 | "display_name": "single entity", | ||
331 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | 372 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | ||
332 | "name": "single entity", | 373 | "name": "single entity", | ||
333 | "state": "active", | 374 | "state": "active", | ||
334 | "vocabulary_id": null | 375 | "vocabulary_id": null | ||
335 | }, | 376 | }, | ||
336 | { | 377 | { | ||
337 | "display_name": "single relation", | 378 | "display_name": "single relation", | ||
338 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | 379 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | ||
339 | "name": "single relation", | 380 | "name": "single relation", | ||
340 | "state": "active", | 381 | "state": "active", | ||
341 | "vocabulary_id": null | 382 | "vocabulary_id": null | ||
342 | }, | 383 | }, | ||
343 | { | 384 | { | ||
344 | "display_name": "synthetic data", | 385 | "display_name": "synthetic data", | ||
345 | "id": "f08e3559-1ee2-4a31-adc3-f9ecfa5fe045", | 386 | "id": "f08e3559-1ee2-4a31-adc3-f9ecfa5fe045", | ||
346 | "name": "synthetic data", | 387 | "name": "synthetic data", | ||
347 | "state": "active", | 388 | "state": "active", | ||
348 | "vocabulary_id": null | 389 | "vocabulary_id": null | ||
349 | } | 390 | } | ||
350 | ], | 391 | ], | ||
351 | "title": "Synthetic Data", | 392 | "title": "Synthetic Data", | ||
352 | "type": "dataset", | 393 | "type": "dataset", | ||
353 | "version": "" | 394 | "version": "" | ||
354 | } | 395 | } |