Changes
On December 3, 2024 at 9:51:49 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in YouTube dataset -
Changed value of field
doi_date_published
to2024-12-03
in YouTube dataset -
Added resource Original Metadata to YouTube dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Guilherme H. Resende", | 3 | "author": "Guilherme H. Resende", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2204.10746", | 6 | "https://doi.org/10.48550/arXiv.2204.10746", | ||
7 | "https://doi.org/10.48550/arXiv.2304.05474", | 7 | "https://doi.org/10.48550/arXiv.2304.05474", | ||
8 | "https://doi.org/10.48550/arXiv.2401.12720" | 8 | "https://doi.org/10.48550/arXiv.2401.12720" | ||
9 | ], | 9 | ], | ||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
11 | "defined_in": "https://doi.org/10.48550/arXiv.1602.06577", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.1602.06577", | ||
12 | "doi": "10.57702/iclryisa", | 12 | "doi": "10.57702/iclryisa", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-03", |
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
n | 15 | "doi_status": false, | n | 15 | "doi_status": true, |
16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "Luiz F. Nery", | 19 | "extra_author": "Luiz F. Nery", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Fabr\u00edcio Benevenuto", | 23 | "extra_author": "Fabr\u00edcio Benevenuto", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Savvas Zannettou", | 27 | "extra_author": "Savvas Zannettou", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Flavio Figueiredo", | 31 | "extra_author": "Flavio Figueiredo", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Deep Learning", | 38 | "display_name": "Deep Learning", | ||
39 | "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | 39 | "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | ||
40 | "image_display_url": "", | 40 | "image_display_url": "", | ||
41 | "name": "deep-learning", | 41 | "name": "deep-learning", | ||
42 | "title": "Deep Learning" | 42 | "title": "Deep Learning" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "description": "", | 45 | "description": "", | ||
46 | "display_name": "Facial Capture", | 46 | "display_name": "Facial Capture", | ||
47 | "id": "c9e1a970-2e45-4502-b8af-5c7c78c852f0", | 47 | "id": "c9e1a970-2e45-4502-b8af-5c7c78c852f0", | ||
48 | "image_display_url": "", | 48 | "image_display_url": "", | ||
49 | "name": "facial-capture", | 49 | "name": "facial-capture", | ||
50 | "title": "Facial Capture" | 50 | "title": "Facial Capture" | ||
51 | }, | 51 | }, | ||
52 | { | 52 | { | ||
53 | "description": "", | 53 | "description": "", | ||
54 | "display_name": "Image Retrieval", | 54 | "display_name": "Image Retrieval", | ||
55 | "id": "e9e05338-d06d-4467-abf9-ba0f67f4e096", | 55 | "id": "e9e05338-d06d-4467-abf9-ba0f67f4e096", | ||
56 | "image_display_url": "", | 56 | "image_display_url": "", | ||
57 | "name": "image-retrieval", | 57 | "name": "image-retrieval", | ||
58 | "title": "Image Retrieval" | 58 | "title": "Image Retrieval" | ||
59 | }, | 59 | }, | ||
60 | { | 60 | { | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "display_name": "Sentiment Analysis", | 62 | "display_name": "Sentiment Analysis", | ||
63 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | 63 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | ||
64 | "image_display_url": "", | 64 | "image_display_url": "", | ||
65 | "name": "sentiment-analysis", | 65 | "name": "sentiment-analysis", | ||
66 | "title": "Sentiment Analysis" | 66 | "title": "Sentiment Analysis" | ||
67 | }, | 67 | }, | ||
68 | { | 68 | { | ||
69 | "description": "", | 69 | "description": "", | ||
70 | "display_name": "Video Recommendation", | 70 | "display_name": "Video Recommendation", | ||
71 | "id": "a772041d-fc08-496c-ab43-64de9189e243", | 71 | "id": "a772041d-fc08-496c-ab43-64de9189e243", | ||
72 | "image_display_url": "", | 72 | "image_display_url": "", | ||
73 | "name": "video-recommendation", | 73 | "name": "video-recommendation", | ||
74 | "title": "Video Recommendation" | 74 | "title": "Video Recommendation" | ||
75 | }, | 75 | }, | ||
76 | { | 76 | { | ||
77 | "description": "", | 77 | "description": "", | ||
78 | "display_name": "YouTube", | 78 | "display_name": "YouTube", | ||
79 | "id": "3b34acf3-4dc4-42cf-8b77-1dc91793a173", | 79 | "id": "3b34acf3-4dc4-42cf-8b77-1dc91793a173", | ||
80 | "image_display_url": "", | 80 | "image_display_url": "", | ||
81 | "name": "youtube", | 81 | "name": "youtube", | ||
82 | "title": "YouTube" | 82 | "title": "YouTube" | ||
83 | } | 83 | } | ||
84 | ], | 84 | ], | ||
85 | "id": "5b7f894e-f6f3-4816-a678-7598329ed6c1", | 85 | "id": "5b7f894e-f6f3-4816-a678-7598329ed6c1", | ||
86 | "isopen": false, | 86 | "isopen": false, | ||
87 | "landing_page": | 87 | "landing_page": | ||
88 | mous.4open.science/r/aae_bias-D396/data/youtube_data_description.csv", | 88 | mous.4open.science/r/aae_bias-D396/data/youtube_data_description.csv", | ||
89 | "license_title": null, | 89 | "license_title": null, | ||
90 | "link_orkg": "", | 90 | "link_orkg": "", | ||
91 | "metadata_created": "2024-12-03T09:51:47.380284", | 91 | "metadata_created": "2024-12-03T09:51:47.380284", | ||
n | 92 | "metadata_modified": "2024-12-03T09:51:47.380289", | n | 92 | "metadata_modified": "2024-12-03T09:51:47.749472", |
93 | "name": "youtube-dataset", | 93 | "name": "youtube-dataset", | ||
94 | "notes": "The dataset used in the paper is a large-scale graph | 94 | "notes": "The dataset used in the paper is a large-scale graph | ||
95 | dataset, consisting of users and shows with multi-attribute edges. The | 95 | dataset, consisting of users and shows with multi-attribute edges. The | ||
96 | graph is constructed by selecting user IDs and side information | 96 | graph is constructed by selecting user IDs and side information | ||
97 | combinations of shows as nodes, and click/co-click relations and view | 97 | combinations of shows as nodes, and click/co-click relations and view | ||
98 | time as edges.", | 98 | time as edges.", | ||
n | 99 | "num_resources": 0, | n | 99 | "num_resources": 1, |
100 | "num_tags": 10, | 100 | "num_tags": 10, | ||
101 | "organization": { | 101 | "organization": { | ||
102 | "approval_status": "approved", | 102 | "approval_status": "approved", | ||
103 | "created": "2024-11-25T12:11:38.292601", | 103 | "created": "2024-11-25T12:11:38.292601", | ||
104 | "description": "", | 104 | "description": "", | ||
105 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 105 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
106 | "image_url": "", | 106 | "image_url": "", | ||
107 | "is_organization": true, | 107 | "is_organization": true, | ||
108 | "name": "no-organization", | 108 | "name": "no-organization", | ||
109 | "state": "active", | 109 | "state": "active", | ||
110 | "title": "No Organization", | 110 | "title": "No Organization", | ||
111 | "type": "organization" | 111 | "type": "organization" | ||
112 | }, | 112 | }, | ||
113 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 113 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
114 | "private": false, | 114 | "private": false, | ||
115 | "relationships_as_object": [], | 115 | "relationships_as_object": [], | ||
116 | "relationships_as_subject": [], | 116 | "relationships_as_subject": [], | ||
t | 117 | "resources": [], | t | 117 | "resources": [ |
118 | { | ||||
119 | "cache_last_updated": null, | ||||
120 | "cache_url": null, | ||||
121 | "created": "2024-12-03T10:49:30", | ||||
122 | "data": [ | ||||
123 | "dcterms:title", | ||||
124 | "dcterms:accessRights", | ||||
125 | "dcterms:creator", | ||||
126 | "dcterms:description", | ||||
127 | "dcterms:issued", | ||||
128 | "dcterms:language", | ||||
129 | "dcterms:identifier", | ||||
130 | "dcat:theme", | ||||
131 | "dcterms:type", | ||||
132 | "dcat:keyword", | ||||
133 | "dcat:landingPage", | ||||
134 | "dcterms:hasVersion", | ||||
135 | "dcterms:format", | ||||
136 | "mls:task", | ||||
137 | "datacite:isDescribedBy" | ||||
138 | ], | ||||
139 | "description": "The json representation of the dataset with its | ||||
140 | distributions based on DCAT.", | ||||
141 | "format": "JSON", | ||||
142 | "hash": "", | ||||
143 | "id": "db992e68-9d41-47d7-9401-94032ad15240", | ||||
144 | "last_modified": "2024-12-03T09:51:47.741028", | ||||
145 | "metadata_modified": "2024-12-03T09:51:47.752334", | ||||
146 | "mimetype": "application/json", | ||||
147 | "mimetype_inner": null, | ||||
148 | "name": "Original Metadata", | ||||
149 | "package_id": "5b7f894e-f6f3-4816-a678-7598329ed6c1", | ||||
150 | "position": 0, | ||||
151 | "resource_type": null, | ||||
152 | "size": 1447, | ||||
153 | "state": "active", | ||||
154 | "url": | ||||
155 | resource/db992e68-9d41-47d7-9401-94032ad15240/download/metadata.json", | ||||
156 | "url_type": "upload" | ||||
157 | } | ||||
158 | ], | ||||
118 | "services_used_list": "", | 159 | "services_used_list": "", | ||
119 | "state": "active", | 160 | "state": "active", | ||
120 | "tags": [ | 161 | "tags": [ | ||
121 | { | 162 | { | ||
122 | "display_name": "Movie Reviews", | 163 | "display_name": "Movie Reviews", | ||
123 | "id": "59753ff1-2a99-4c10-bb0e-cf07e0328dd5", | 164 | "id": "59753ff1-2a99-4c10-bb0e-cf07e0328dd5", | ||
124 | "name": "Movie Reviews", | 165 | "name": "Movie Reviews", | ||
125 | "state": "active", | 166 | "state": "active", | ||
126 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
127 | }, | 168 | }, | ||
128 | { | 169 | { | ||
129 | "display_name": "Sentiment Analysis", | 170 | "display_name": "Sentiment Analysis", | ||
130 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | 171 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | ||
131 | "name": "Sentiment Analysis", | 172 | "name": "Sentiment Analysis", | ||
132 | "state": "active", | 173 | "state": "active", | ||
133 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
134 | }, | 175 | }, | ||
135 | { | 176 | { | ||
136 | "display_name": "YouTube", | 177 | "display_name": "YouTube", | ||
137 | "id": "f366eb95-4b7f-40df-9453-9e7cbc75da66", | 178 | "id": "f366eb95-4b7f-40df-9453-9e7cbc75da66", | ||
138 | "name": "YouTube", | 179 | "name": "YouTube", | ||
139 | "state": "active", | 180 | "state": "active", | ||
140 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
141 | }, | 182 | }, | ||
142 | { | 183 | { | ||
143 | "display_name": "deep learning", | 184 | "display_name": "deep learning", | ||
144 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | 185 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||
145 | "name": "deep learning", | 186 | "name": "deep learning", | ||
146 | "state": "active", | 187 | "state": "active", | ||
147 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
148 | }, | 189 | }, | ||
149 | { | 190 | { | ||
150 | "display_name": "facial capture", | 191 | "display_name": "facial capture", | ||
151 | "id": "c0d0f8af-6dce-4c65-9a5a-97407ecbefff", | 192 | "id": "c0d0f8af-6dce-4c65-9a5a-97407ecbefff", | ||
152 | "name": "facial capture", | 193 | "name": "facial capture", | ||
153 | "state": "active", | 194 | "state": "active", | ||
154 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
155 | }, | 196 | }, | ||
156 | { | 197 | { | ||
157 | "display_name": "image retrieval", | 198 | "display_name": "image retrieval", | ||
158 | "id": "93827714-41d5-4aac-a64a-f4390a0e80e1", | 199 | "id": "93827714-41d5-4aac-a64a-f4390a0e80e1", | ||
159 | "name": "image retrieval", | 200 | "name": "image retrieval", | ||
160 | "state": "active", | 201 | "state": "active", | ||
161 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
162 | }, | 203 | }, | ||
163 | { | 204 | { | ||
164 | "display_name": "in-the-wild", | 205 | "display_name": "in-the-wild", | ||
165 | "id": "9960e867-5ebc-480c-b683-09522036599a", | 206 | "id": "9960e867-5ebc-480c-b683-09522036599a", | ||
166 | "name": "in-the-wild", | 207 | "name": "in-the-wild", | ||
167 | "state": "active", | 208 | "state": "active", | ||
168 | "vocabulary_id": null | 209 | "vocabulary_id": null | ||
169 | }, | 210 | }, | ||
170 | { | 211 | { | ||
171 | "display_name": "near neighbor search", | 212 | "display_name": "near neighbor search", | ||
172 | "id": "a039cc9c-ec0d-43fc-84db-4cc019b311f6", | 213 | "id": "a039cc9c-ec0d-43fc-84db-4cc019b311f6", | ||
173 | "name": "near neighbor search", | 214 | "name": "near neighbor search", | ||
174 | "state": "active", | 215 | "state": "active", | ||
175 | "vocabulary_id": null | 216 | "vocabulary_id": null | ||
176 | }, | 217 | }, | ||
177 | { | 218 | { | ||
178 | "display_name": "similarity estimation", | 219 | "display_name": "similarity estimation", | ||
179 | "id": "a9b26ec6-0df1-4cb4-a019-f499e350ff2b", | 220 | "id": "a9b26ec6-0df1-4cb4-a019-f499e350ff2b", | ||
180 | "name": "similarity estimation", | 221 | "name": "similarity estimation", | ||
181 | "state": "active", | 222 | "state": "active", | ||
182 | "vocabulary_id": null | 223 | "vocabulary_id": null | ||
183 | }, | 224 | }, | ||
184 | { | 225 | { | ||
185 | "display_name": "various types of interactions", | 226 | "display_name": "various types of interactions", | ||
186 | "id": "d2c3fc9a-6c11-475c-9ce7-91ef4fe6e453", | 227 | "id": "d2c3fc9a-6c11-475c-9ce7-91ef4fe6e453", | ||
187 | "name": "various types of interactions", | 228 | "name": "various types of interactions", | ||
188 | "state": "active", | 229 | "state": "active", | ||
189 | "vocabulary_id": null | 230 | "vocabulary_id": null | ||
190 | } | 231 | } | ||
191 | ], | 232 | ], | ||
192 | "title": "YouTube dataset", | 233 | "title": "YouTube dataset", | ||
193 | "type": "dataset", | 234 | "type": "dataset", | ||
194 | "version": "" | 235 | "version": "" | ||
195 | } | 236 | } |