Changes
On December 2, 2024 at 9:31:00 PM UTC, admin:
-
Changed value of field
doi_date_published
to2024-12-02
in Ego4D Goal-Step -
Changed value of field
doi_status
toTrue
in Ego4D Goal-Step -
Added resource Original Metadata to Ego4D Goal-Step
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Kristen Grauman", | 3 | "author": "Kristen Grauman", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2406.09575" | 6 | "https://doi.org/10.48550/arXiv.2406.09575" | ||
7 | ], | 7 | ], | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "https://doi.org/10.48550/arXiv.2406.11816", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2406.11816", | ||
10 | "doi": "10.57702/rv150g8b", | 10 | "doi": "10.57702/rv150g8b", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
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14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Andrew Westbury", | 17 | "extra_author": "Andrew Westbury", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Eugene Byrne", | 21 | "extra_author": "Eugene Byrne", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Zachary Chavis", | 25 | "extra_author": "Zachary Chavis", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Antonino Furnari", | 29 | "extra_author": "Antonino Furnari", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Rohit Girdhar", | 33 | "extra_author": "Rohit Girdhar", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "Jackson Hamburger", | 37 | "extra_author": "Jackson Hamburger", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "extra_author": "Hao Jiang", | 41 | "extra_author": "Hao Jiang", | ||
42 | "orcid": "" | 42 | "orcid": "" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "extra_author": "Miao Liu", | 45 | "extra_author": "Miao Liu", | ||
46 | "orcid": "" | 46 | "orcid": "" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "extra_author": "Xingyu Liu", | 49 | "extra_author": "Xingyu Liu", | ||
50 | "orcid": "" | 50 | "orcid": "" | ||
51 | }, | 51 | }, | ||
52 | { | 52 | { | ||
53 | "extra_author": "Miguel Martin", | 53 | "extra_author": "Miguel Martin", | ||
54 | "orcid": "" | 54 | "orcid": "" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "extra_author": "Tushar Nagarajan", | 57 | "extra_author": "Tushar Nagarajan", | ||
58 | "orcid": "" | 58 | "orcid": "" | ||
59 | }, | 59 | }, | ||
60 | { | 60 | { | ||
61 | "extra_author": "Ilija Radosavovic", | 61 | "extra_author": "Ilija Radosavovic", | ||
62 | "orcid": "" | 62 | "orcid": "" | ||
63 | }, | 63 | }, | ||
64 | { | 64 | { | ||
65 | "extra_author": "Santhosh Kumar Ramakrishnan", | 65 | "extra_author": "Santhosh Kumar Ramakrishnan", | ||
66 | "orcid": "" | 66 | "orcid": "" | ||
67 | }, | 67 | }, | ||
68 | { | 68 | { | ||
69 | "extra_author": "Fiona Ryan", | 69 | "extra_author": "Fiona Ryan", | ||
70 | "orcid": "" | 70 | "orcid": "" | ||
71 | }, | 71 | }, | ||
72 | { | 72 | { | ||
73 | "extra_author": "Jayant Sharma", | 73 | "extra_author": "Jayant Sharma", | ||
74 | "orcid": "" | 74 | "orcid": "" | ||
75 | }, | 75 | }, | ||
76 | { | 76 | { | ||
77 | "extra_author": "Michael Wray", | 77 | "extra_author": "Michael Wray", | ||
78 | "orcid": "" | 78 | "orcid": "" | ||
79 | }, | 79 | }, | ||
80 | { | 80 | { | ||
81 | "extra_author": "Mengmeng Xu", | 81 | "extra_author": "Mengmeng Xu", | ||
82 | "orcid": "" | 82 | "orcid": "" | ||
83 | }, | 83 | }, | ||
84 | { | 84 | { | ||
85 | "extra_author": "Eric Zhongcong Xu", | 85 | "extra_author": "Eric Zhongcong Xu", | ||
86 | "orcid": "" | 86 | "orcid": "" | ||
87 | }, | 87 | }, | ||
88 | { | 88 | { | ||
89 | "extra_author": "Chen Zhao", | 89 | "extra_author": "Chen Zhao", | ||
90 | "orcid": "" | 90 | "orcid": "" | ||
91 | } | 91 | } | ||
92 | ], | 92 | ], | ||
93 | "groups": [ | 93 | "groups": [ | ||
94 | { | 94 | { | ||
95 | "description": "", | 95 | "description": "", | ||
96 | "display_name": "Action Localization", | 96 | "display_name": "Action Localization", | ||
97 | "id": "654ac67d-0308-460b-bf70-1854a4ca6078", | 97 | "id": "654ac67d-0308-460b-bf70-1854a4ca6078", | ||
98 | "image_display_url": "", | 98 | "image_display_url": "", | ||
99 | "name": "action-localization", | 99 | "name": "action-localization", | ||
100 | "title": "Action Localization" | 100 | "title": "Action Localization" | ||
101 | }, | 101 | }, | ||
102 | { | 102 | { | ||
103 | "description": "", | 103 | "description": "", | ||
104 | "display_name": "Action Recognition", | 104 | "display_name": "Action Recognition", | ||
105 | "id": "5b2d4f5c-80f9-49e1-8509-4df578ada808", | 105 | "id": "5b2d4f5c-80f9-49e1-8509-4df578ada808", | ||
106 | "image_display_url": "", | 106 | "image_display_url": "", | ||
107 | "name": "action-recognition", | 107 | "name": "action-recognition", | ||
108 | "title": "Action Recognition" | 108 | "title": "Action Recognition" | ||
109 | }, | 109 | }, | ||
110 | { | 110 | { | ||
111 | "description": "", | 111 | "description": "", | ||
112 | "display_name": "Activity Localization", | 112 | "display_name": "Activity Localization", | ||
113 | "id": "e44b8fb9-0fa9-48b9-8700-b94489a38883", | 113 | "id": "e44b8fb9-0fa9-48b9-8700-b94489a38883", | ||
114 | "image_display_url": "", | 114 | "image_display_url": "", | ||
115 | "name": "activity-localization", | 115 | "name": "activity-localization", | ||
116 | "title": "Activity Localization" | 116 | "title": "Activity Localization" | ||
117 | }, | 117 | }, | ||
118 | { | 118 | { | ||
119 | "description": "", | 119 | "description": "", | ||
120 | "display_name": "Egocentric Video", | 120 | "display_name": "Egocentric Video", | ||
121 | "id": "98480106-078c-41c2-8c53-7fcb916094b9", | 121 | "id": "98480106-078c-41c2-8c53-7fcb916094b9", | ||
122 | "image_display_url": "", | 122 | "image_display_url": "", | ||
123 | "name": "egocentric-video", | 123 | "name": "egocentric-video", | ||
124 | "title": "Egocentric Video" | 124 | "title": "Egocentric Video" | ||
125 | }, | 125 | }, | ||
126 | { | 126 | { | ||
127 | "description": "", | 127 | "description": "", | ||
128 | "display_name": "Natural Language Processing", | 128 | "display_name": "Natural Language Processing", | ||
129 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 129 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
130 | "image_display_url": "", | 130 | "image_display_url": "", | ||
131 | "name": "natural-language-processing", | 131 | "name": "natural-language-processing", | ||
132 | "title": "Natural Language Processing" | 132 | "title": "Natural Language Processing" | ||
133 | } | 133 | } | ||
134 | ], | 134 | ], | ||
135 | "id": "be26c1d2-ee9a-4bc8-8390-30c85f15aa8f", | 135 | "id": "be26c1d2-ee9a-4bc8-8390-30c85f15aa8f", | ||
136 | "isopen": false, | 136 | "isopen": false, | ||
137 | "landing_page": "https://arxiv.org/abs/2207.00579", | 137 | "landing_page": "https://arxiv.org/abs/2207.00579", | ||
138 | "license_title": null, | 138 | "license_title": null, | ||
139 | "link_orkg": "", | 139 | "link_orkg": "", | ||
140 | "metadata_created": "2024-12-02T21:30:58.508833", | 140 | "metadata_created": "2024-12-02T21:30:58.508833", | ||
n | 141 | "metadata_modified": "2024-12-02T21:30:58.508839", | n | 141 | "metadata_modified": "2024-12-02T21:30:59.045021", |
142 | "name": "ego4d-goal-step", | 142 | "name": "ego4d-goal-step", | ||
143 | "notes": "The Ego4D Goal-Step dataset is a large-scale egocentric | 143 | "notes": "The Ego4D Goal-Step dataset is a large-scale egocentric | ||
144 | video dataset that contains 3,000 hours of egocentric video. The | 144 | video dataset that contains 3,000 hours of egocentric video. The | ||
145 | dataset is used for action recognition, action localization, and video | 145 | dataset is used for action recognition, action localization, and video | ||
146 | question answering.", | 146 | question answering.", | ||
n | 147 | "num_resources": 0, | n | 147 | "num_resources": 1, |
148 | "num_tags": 8, | 148 | "num_tags": 8, | ||
149 | "organization": { | 149 | "organization": { | ||
150 | "approval_status": "approved", | 150 | "approval_status": "approved", | ||
151 | "created": "2024-11-25T12:11:38.292601", | 151 | "created": "2024-11-25T12:11:38.292601", | ||
152 | "description": "", | 152 | "description": "", | ||
153 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 153 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
154 | "image_url": "", | 154 | "image_url": "", | ||
155 | "is_organization": true, | 155 | "is_organization": true, | ||
156 | "name": "no-organization", | 156 | "name": "no-organization", | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "title": "No Organization", | 158 | "title": "No Organization", | ||
159 | "type": "organization" | 159 | "type": "organization" | ||
160 | }, | 160 | }, | ||
161 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 161 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
162 | "private": false, | 162 | "private": false, | ||
163 | "relationships_as_object": [], | 163 | "relationships_as_object": [], | ||
164 | "relationships_as_subject": [], | 164 | "relationships_as_subject": [], | ||
t | 165 | "resources": [], | t | 165 | "resources": [ |
166 | { | ||||
167 | "cache_last_updated": null, | ||||
168 | "cache_url": null, | ||||
169 | "created": "2024-12-02T22:29:38", | ||||
170 | "data": [ | ||||
171 | "dcterms:title", | ||||
172 | "dcterms:accessRights", | ||||
173 | "dcterms:creator", | ||||
174 | "dcterms:description", | ||||
175 | "dcterms:issued", | ||||
176 | "dcterms:language", | ||||
177 | "dcterms:identifier", | ||||
178 | "dcat:theme", | ||||
179 | "dcterms:type", | ||||
180 | "dcat:keyword", | ||||
181 | "dcat:landingPage", | ||||
182 | "dcterms:hasVersion", | ||||
183 | "dcterms:format", | ||||
184 | "mls:task", | ||||
185 | "datacite:isDescribedBy" | ||||
186 | ], | ||||
187 | "description": "The json representation of the dataset with its | ||||
188 | distributions based on DCAT.", | ||||
189 | "format": "JSON", | ||||
190 | "hash": "", | ||||
191 | "id": "5e00f572-8734-4d49-9f19-9beed09fa482", | ||||
192 | "last_modified": "2024-12-02T21:30:59.036464", | ||||
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194 | "mimetype": "application/json", | ||||
195 | "mimetype_inner": null, | ||||
196 | "name": "Original Metadata", | ||||
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199 | "resource_type": null, | ||||
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203 | resource/5e00f572-8734-4d49-9f19-9beed09fa482/download/metadata.json", | ||||
204 | "url_type": "upload" | ||||
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206 | ], | ||||
166 | "services_used_list": "", | 207 | "services_used_list": "", | ||
167 | "state": "active", | 208 | "state": "active", | ||
168 | "tags": [ | 209 | "tags": [ | ||
169 | { | 210 | { | ||
170 | "display_name": "Activity Localization", | 211 | "display_name": "Activity Localization", | ||
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172 | "name": "Activity Localization", | 213 | "name": "Activity Localization", | ||
173 | "state": "active", | 214 | "state": "active", | ||
174 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
175 | }, | 216 | }, | ||
176 | { | 217 | { | ||
177 | "display_name": "Ego4D", | 218 | "display_name": "Ego4D", | ||
178 | "id": "259078c0-3d45-4d97-b41f-37379c8de145", | 219 | "id": "259078c0-3d45-4d97-b41f-37379c8de145", | ||
179 | "name": "Ego4D", | 220 | "name": "Ego4D", | ||
180 | "state": "active", | 221 | "state": "active", | ||
181 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
182 | }, | 223 | }, | ||
183 | { | 224 | { | ||
184 | "display_name": "Goal-Step", | 225 | "display_name": "Goal-Step", | ||
185 | "id": "15263623-4719-46ad-9094-91a59603c1ff", | 226 | "id": "15263623-4719-46ad-9094-91a59603c1ff", | ||
186 | "name": "Goal-Step", | 227 | "name": "Goal-Step", | ||
187 | "state": "active", | 228 | "state": "active", | ||
188 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
189 | }, | 230 | }, | ||
190 | { | 231 | { | ||
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193 | "name": "Natural Language Processing", | 234 | "name": "Natural Language Processing", | ||
194 | "state": "active", | 235 | "state": "active", | ||
195 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
196 | }, | 237 | }, | ||
197 | { | 238 | { | ||
198 | "display_name": "Step Grounding", | 239 | "display_name": "Step Grounding", | ||
199 | "id": "770e1fe4-fd9d-4b7f-b8b5-a8bf628ff1fc", | 240 | "id": "770e1fe4-fd9d-4b7f-b8b5-a8bf628ff1fc", | ||
200 | "name": "Step Grounding", | 241 | "name": "Step Grounding", | ||
201 | "state": "active", | 242 | "state": "active", | ||
202 | "vocabulary_id": null | 243 | "vocabulary_id": null | ||
203 | }, | 244 | }, | ||
204 | { | 245 | { | ||
205 | "display_name": "action localization", | 246 | "display_name": "action localization", | ||
206 | "id": "bd5bf03e-8cb7-4cea-87d2-8ff81a819236", | 247 | "id": "bd5bf03e-8cb7-4cea-87d2-8ff81a819236", | ||
207 | "name": "action localization", | 248 | "name": "action localization", | ||
208 | "state": "active", | 249 | "state": "active", | ||
209 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
210 | }, | 251 | }, | ||
211 | { | 252 | { | ||
212 | "display_name": "action recognition", | 253 | "display_name": "action recognition", | ||
213 | "id": "9d09d8e4-3662-4925-8bf3-ad6dc3774967", | 254 | "id": "9d09d8e4-3662-4925-8bf3-ad6dc3774967", | ||
214 | "name": "action recognition", | 255 | "name": "action recognition", | ||
215 | "state": "active", | 256 | "state": "active", | ||
216 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
217 | }, | 258 | }, | ||
218 | { | 259 | { | ||
219 | "display_name": "egocentric video", | 260 | "display_name": "egocentric video", | ||
220 | "id": "9c96cf8a-dc3b-4261-bda6-5dcab44e2252", | 261 | "id": "9c96cf8a-dc3b-4261-bda6-5dcab44e2252", | ||
221 | "name": "egocentric video", | 262 | "name": "egocentric video", | ||
222 | "state": "active", | 263 | "state": "active", | ||
223 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
224 | } | 265 | } | ||
225 | ], | 266 | ], | ||
226 | "title": "Ego4D Goal-Step", | 267 | "title": "Ego4D Goal-Step", | ||
227 | "type": "dataset", | 268 | "type": "dataset", | ||
228 | "version": "" | 269 | "version": "" | ||
229 | } | 270 | } |