Changes
On December 2, 2024 at 11:34:30 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in HowTo100M -
Changed value of field
doi_date_published
to2024-12-02
in HowTo100M -
Added resource Original Metadata to HowTo100M
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Antoine Miech", | 3 | "author": "Antoine Miech", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2109.14084", | 6 | "https://doi.org/10.48550/arXiv.2109.14084", | ||
7 | "https://doi.org/10.48550/arXiv.2403.18965", | 7 | "https://doi.org/10.48550/arXiv.2403.18965", | ||
8 | "https://doi.org/10.48550/arXiv.2307.08763" | 8 | "https://doi.org/10.48550/arXiv.2307.08763" | ||
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.2312.13746", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2312.13746", | ||
12 | "doi": "10.57702/5ib5ycpz", | 12 | "doi": "10.57702/5ib5ycpz", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-02", |
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": "Dimitri Zhukov", | 19 | "extra_author": "Dimitri Zhukov", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Jean-Baptiste Alayrac", | 23 | "extra_author": "Jean-Baptiste Alayrac", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Makarand Tapaswi", | 27 | "extra_author": "Makarand Tapaswi", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Ivan Laptev", | 31 | "extra_author": "Ivan Laptev", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Josef Sivic", | 35 | "extra_author": "Josef Sivic", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | } | 37 | } | ||
38 | ], | 38 | ], | ||
39 | "groups": [ | 39 | "groups": [ | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Instructional Video Analysis", | 42 | "display_name": "Instructional Video Analysis", | ||
43 | "id": "a0f6e3a9-0904-4165-8ec6-44fd39fc4c5d", | 43 | "id": "a0f6e3a9-0904-4165-8ec6-44fd39fc4c5d", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "instructional-video-analysis", | 45 | "name": "instructional-video-analysis", | ||
46 | "title": "Instructional Video Analysis" | 46 | "title": "Instructional Video Analysis" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Instructional Videos", | 50 | "display_name": "Instructional Videos", | ||
51 | "id": "5de7d4e2-fecc-4e59-b422-638bc358a4e5", | 51 | "id": "5de7d4e2-fecc-4e59-b422-638bc358a4e5", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "instructional-videos", | 53 | "name": "instructional-videos", | ||
54 | "title": "Instructional Videos" | 54 | "title": "Instructional Videos" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Keystep Recognition", | 58 | "display_name": "Keystep Recognition", | ||
59 | "id": "963681e1-4063-43ac-a133-a75da0b6de5f", | 59 | "id": "963681e1-4063-43ac-a133-a75da0b6de5f", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "keystep-recognition", | 61 | "name": "keystep-recognition", | ||
62 | "title": "Keystep Recognition" | 62 | "title": "Keystep Recognition" | ||
63 | }, | 63 | }, | ||
64 | { | 64 | { | ||
65 | "description": "", | 65 | "description": "", | ||
66 | "display_name": "Multimodal Analysis", | 66 | "display_name": "Multimodal Analysis", | ||
67 | "id": "ec5440b2-973a-43ae-ab28-c751230f527b", | 67 | "id": "ec5440b2-973a-43ae-ab28-c751230f527b", | ||
68 | "image_display_url": "", | 68 | "image_display_url": "", | ||
69 | "name": "multimodal-analysis", | 69 | "name": "multimodal-analysis", | ||
70 | "title": "Multimodal Analysis" | 70 | "title": "Multimodal Analysis" | ||
71 | }, | 71 | }, | ||
72 | { | 72 | { | ||
73 | "description": "", | 73 | "description": "", | ||
74 | "display_name": "Video Description", | 74 | "display_name": "Video Description", | ||
75 | "id": "15df3ee8-fbbf-4467-847a-1ce3d6677c80", | 75 | "id": "15df3ee8-fbbf-4467-847a-1ce3d6677c80", | ||
76 | "image_display_url": "", | 76 | "image_display_url": "", | ||
77 | "name": "video-description", | 77 | "name": "video-description", | ||
78 | "title": "Video Description" | 78 | "title": "Video Description" | ||
79 | }, | 79 | }, | ||
80 | { | 80 | { | ||
81 | "description": "", | 81 | "description": "", | ||
82 | "display_name": "Video Recognition", | 82 | "display_name": "Video Recognition", | ||
83 | "id": "b52acffa-abde-4cec-9e1a-3baa686ce93d", | 83 | "id": "b52acffa-abde-4cec-9e1a-3baa686ce93d", | ||
84 | "image_display_url": "", | 84 | "image_display_url": "", | ||
85 | "name": "video-recognition", | 85 | "name": "video-recognition", | ||
86 | "title": "Video Recognition" | 86 | "title": "Video Recognition" | ||
87 | }, | 87 | }, | ||
88 | { | 88 | { | ||
89 | "description": "", | 89 | "description": "", | ||
90 | "display_name": "Video-to-Text", | 90 | "display_name": "Video-to-Text", | ||
91 | "id": "6fb86e2a-344a-4aca-8181-ec5d8e6a6e18", | 91 | "id": "6fb86e2a-344a-4aca-8181-ec5d8e6a6e18", | ||
92 | "image_display_url": "", | 92 | "image_display_url": "", | ||
93 | "name": "video-to-text", | 93 | "name": "video-to-text", | ||
94 | "title": "Video-to-Text" | 94 | "title": "Video-to-Text" | ||
95 | } | 95 | } | ||
96 | ], | 96 | ], | ||
97 | "id": "3365ec46-10d2-4331-b6c1-37069dc0b560", | 97 | "id": "3365ec46-10d2-4331-b6c1-37069dc0b560", | ||
98 | "isopen": false, | 98 | "isopen": false, | ||
99 | "landing_page": "https://doi.org/10.1109/CVPR.2019.00069", | 99 | "landing_page": "https://doi.org/10.1109/CVPR.2019.00069", | ||
100 | "license_title": null, | 100 | "license_title": null, | ||
101 | "link_orkg": "", | 101 | "link_orkg": "", | ||
102 | "metadata_created": "2024-12-02T23:34:28.609776", | 102 | "metadata_created": "2024-12-02T23:34:28.609776", | ||
n | 103 | "metadata_modified": "2024-12-02T23:34:28.609785", | n | 103 | "metadata_modified": "2024-12-02T23:34:29.177756", |
104 | "name": "howto100m", | 104 | "name": "howto100m", | ||
105 | "notes": "The dataset used in the LORD framework for autonomous | 105 | "notes": "The dataset used in the LORD framework for autonomous | ||
106 | driving, consisting of images, videos, and text-based observations.", | 106 | driving, consisting of images, videos, and text-based observations.", | ||
n | 107 | "num_resources": 0, | n | 107 | "num_resources": 1, |
108 | "num_tags": 11, | 108 | "num_tags": 11, | ||
109 | "organization": { | 109 | "organization": { | ||
110 | "approval_status": "approved", | 110 | "approval_status": "approved", | ||
111 | "created": "2024-11-25T12:11:38.292601", | 111 | "created": "2024-11-25T12:11:38.292601", | ||
112 | "description": "", | 112 | "description": "", | ||
113 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 113 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
114 | "image_url": "", | 114 | "image_url": "", | ||
115 | "is_organization": true, | 115 | "is_organization": true, | ||
116 | "name": "no-organization", | 116 | "name": "no-organization", | ||
117 | "state": "active", | 117 | "state": "active", | ||
118 | "title": "No Organization", | 118 | "title": "No Organization", | ||
119 | "type": "organization" | 119 | "type": "organization" | ||
120 | }, | 120 | }, | ||
121 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 121 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
122 | "private": false, | 122 | "private": false, | ||
123 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
124 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
t | 125 | "resources": [], | t | 125 | "resources": [ |
126 | { | ||||
127 | "cache_last_updated": null, | ||||
128 | "cache_url": null, | ||||
129 | "created": "2024-12-03T00:20:35", | ||||
130 | "data": [ | ||||
131 | "dcterms:title", | ||||
132 | "dcterms:accessRights", | ||||
133 | "dcterms:creator", | ||||
134 | "dcterms:description", | ||||
135 | "dcterms:issued", | ||||
136 | "dcterms:language", | ||||
137 | "dcterms:identifier", | ||||
138 | "dcat:theme", | ||||
139 | "dcterms:type", | ||||
140 | "dcat:keyword", | ||||
141 | "dcat:landingPage", | ||||
142 | "dcterms:hasVersion", | ||||
143 | "dcterms:format", | ||||
144 | "mls:task", | ||||
145 | "datacite:isDescribedBy" | ||||
146 | ], | ||||
147 | "description": "The json representation of the dataset with its | ||||
148 | distributions based on DCAT.", | ||||
149 | "format": "JSON", | ||||
150 | "hash": "", | ||||
151 | "id": "cc3e4cbe-67f7-4e83-b844-d039dcad8f41", | ||||
152 | "last_modified": "2024-12-02T23:34:29.168843", | ||||
153 | "metadata_modified": "2024-12-02T23:34:29.180560", | ||||
154 | "mimetype": "application/json", | ||||
155 | "mimetype_inner": null, | ||||
156 | "name": "Original Metadata", | ||||
157 | "package_id": "3365ec46-10d2-4331-b6c1-37069dc0b560", | ||||
158 | "position": 0, | ||||
159 | "resource_type": null, | ||||
160 | "size": 1289, | ||||
161 | "state": "active", | ||||
162 | "url": | ||||
163 | resource/cc3e4cbe-67f7-4e83-b844-d039dcad8f41/download/metadata.json", | ||||
164 | "url_type": "upload" | ||||
165 | } | ||||
166 | ], | ||||
126 | "services_used_list": "", | 167 | "services_used_list": "", | ||
127 | "state": "active", | 168 | "state": "active", | ||
128 | "tags": [ | 169 | "tags": [ | ||
129 | { | 170 | { | ||
130 | "display_name": "HowTo100M", | 171 | "display_name": "HowTo100M", | ||
131 | "id": "133a93c9-c82e-464b-a707-5c911a5dea0b", | 172 | "id": "133a93c9-c82e-464b-a707-5c911a5dea0b", | ||
132 | "name": "HowTo100M", | 173 | "name": "HowTo100M", | ||
133 | "state": "active", | 174 | "state": "active", | ||
134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
135 | }, | 176 | }, | ||
136 | { | 177 | { | ||
137 | "display_name": "HowTo100M dataset", | 178 | "display_name": "HowTo100M dataset", | ||
138 | "id": "2df686c9-958f-412d-933d-102ba93f0aac", | 179 | "id": "2df686c9-958f-412d-933d-102ba93f0aac", | ||
139 | "name": "HowTo100M dataset", | 180 | "name": "HowTo100M dataset", | ||
140 | "state": "active", | 181 | "state": "active", | ||
141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
142 | }, | 183 | }, | ||
143 | { | 184 | { | ||
144 | "display_name": "instructional videos", | 185 | "display_name": "instructional videos", | ||
145 | "id": "a2c62560-1f35-42ea-8b47-1bcd81d4d026", | 186 | "id": "a2c62560-1f35-42ea-8b47-1bcd81d4d026", | ||
146 | "name": "instructional videos", | 187 | "name": "instructional videos", | ||
147 | "state": "active", | 188 | "state": "active", | ||
148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
149 | }, | 190 | }, | ||
150 | { | 191 | { | ||
151 | "display_name": "keystep recognition", | 192 | "display_name": "keystep recognition", | ||
152 | "id": "dc876c84-c9b6-41f3-9f5b-2b0f49d76a65", | 193 | "id": "dc876c84-c9b6-41f3-9f5b-2b0f49d76a65", | ||
153 | "name": "keystep recognition", | 194 | "name": "keystep recognition", | ||
154 | "state": "active", | 195 | "state": "active", | ||
155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
156 | }, | 197 | }, | ||
157 | { | 198 | { | ||
158 | "display_name": "large-scale dataset", | 199 | "display_name": "large-scale dataset", | ||
159 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | 200 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||
160 | "name": "large-scale dataset", | 201 | "name": "large-scale dataset", | ||
161 | "state": "active", | 202 | "state": "active", | ||
162 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
163 | }, | 204 | }, | ||
164 | { | 205 | { | ||
165 | "display_name": "multimodal analysis", | 206 | "display_name": "multimodal analysis", | ||
166 | "id": "0ce6ce92-cd85-4bd9-a01f-03c5eb3e7c2f", | 207 | "id": "0ce6ce92-cd85-4bd9-a01f-03c5eb3e7c2f", | ||
167 | "name": "multimodal analysis", | 208 | "name": "multimodal analysis", | ||
168 | "state": "active", | 209 | "state": "active", | ||
169 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
170 | }, | 211 | }, | ||
171 | { | 212 | { | ||
172 | "display_name": "transcripts", | 213 | "display_name": "transcripts", | ||
173 | "id": "afb968cc-2489-4e65-841f-ed316c4a911a", | 214 | "id": "afb968cc-2489-4e65-841f-ed316c4a911a", | ||
174 | "name": "transcripts", | 215 | "name": "transcripts", | ||
175 | "state": "active", | 216 | "state": "active", | ||
176 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
177 | }, | 218 | }, | ||
178 | { | 219 | { | ||
179 | "display_name": "video dataset", | 220 | "display_name": "video dataset", | ||
180 | "id": "1f8a670b-8cd5-4369-8cc1-06e5ff372d93", | 221 | "id": "1f8a670b-8cd5-4369-8cc1-06e5ff372d93", | ||
181 | "name": "video dataset", | 222 | "name": "video dataset", | ||
182 | "state": "active", | 223 | "state": "active", | ||
183 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
184 | }, | 225 | }, | ||
185 | { | 226 | { | ||
186 | "display_name": "video description", | 227 | "display_name": "video description", | ||
187 | "id": "987829ef-955f-4d7d-9bfc-bf31301c33b8", | 228 | "id": "987829ef-955f-4d7d-9bfc-bf31301c33b8", | ||
188 | "name": "video description", | 229 | "name": "video description", | ||
189 | "state": "active", | 230 | "state": "active", | ||
190 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
191 | }, | 232 | }, | ||
192 | { | 233 | { | ||
193 | "display_name": "video recognition", | 234 | "display_name": "video recognition", | ||
194 | "id": "2a410bcc-573b-47d2-9679-0e8297ed6ffb", | 235 | "id": "2a410bcc-573b-47d2-9679-0e8297ed6ffb", | ||
195 | "name": "video recognition", | 236 | "name": "video recognition", | ||
196 | "state": "active", | 237 | "state": "active", | ||
197 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
198 | }, | 239 | }, | ||
199 | { | 240 | { | ||
200 | "display_name": "video-to-text", | 241 | "display_name": "video-to-text", | ||
201 | "id": "65ee4862-1eca-4710-843e-2a577e3691b3", | 242 | "id": "65ee4862-1eca-4710-843e-2a577e3691b3", | ||
202 | "name": "video-to-text", | 243 | "name": "video-to-text", | ||
203 | "state": "active", | 244 | "state": "active", | ||
204 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
205 | } | 246 | } | ||
206 | ], | 247 | ], | ||
207 | "title": "HowTo100M", | 248 | "title": "HowTo100M", | ||
208 | "type": "dataset", | 249 | "type": "dataset", | ||
209 | "version": "" | 250 | "version": "" | ||
210 | } | 251 | } |