Changes
On December 16, 2024 at 7:25:24 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Rel3D -
Changed value of field
doi_date_published
to2024-12-16
in Rel3D -
Added resource Original Metadata to Rel3D
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yutaro Yamada", | 3 | "author": "Yutaro Yamada", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2403.00729" | 6 | "https://doi.org/10.48550/arXiv.2403.00729" | ||
7 | ], | 7 | ], | ||
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9 | "defined_in": "https://doi.org/10.48550/arXiv.2012.01634", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2012.01634", | ||
10 | "doi": "10.57702/ecaj2yzm", | 10 | "doi": "10.57702/ecaj2yzm", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-16", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
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": "Yingtian Tang", | 17 | "extra_author": "Yingtian Tang", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Ilker Yildirim", | 21 | "extra_author": "Ilker Yildirim", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "3D Object Recognition", | 28 | "display_name": "3D Object Recognition", | ||
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30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "3d-object-recognition", | 31 | "name": "3d-object-recognition", | ||
32 | "title": "3D Object Recognition" | 32 | "title": "3D Object Recognition" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "3D Scenes", | 36 | "display_name": "3D Scenes", | ||
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38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "3d-scenes", | 39 | "name": "3d-scenes", | ||
40 | "title": "3D Scenes" | 40 | "title": "3D Scenes" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Spatial Relations", | 44 | "display_name": "Spatial Relations", | ||
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46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "spatial-relations", | 47 | "name": "spatial-relations", | ||
48 | "title": "Spatial Relations" | 48 | "title": "Spatial Relations" | ||
49 | } | 49 | } | ||
50 | ], | 50 | ], | ||
51 | "id": "686b8bce-a07f-4eae-b9fd-b6c8e13e7784", | 51 | "id": "686b8bce-a07f-4eae-b9fd-b6c8e13e7784", | ||
52 | "isopen": false, | 52 | "isopen": false, | ||
53 | "landing_page": "https://github.com/nyu-dmlab/rel3d", | 53 | "landing_page": "https://github.com/nyu-dmlab/rel3d", | ||
54 | "license_title": null, | 54 | "license_title": null, | ||
55 | "link_orkg": "", | 55 | "link_orkg": "", | ||
56 | "metadata_created": "2024-12-16T19:25:23.084069", | 56 | "metadata_created": "2024-12-16T19:25:23.084069", | ||
n | 57 | "metadata_modified": "2024-12-16T19:25:23.084076", | n | 57 | "metadata_modified": "2024-12-16T19:25:23.459998", |
58 | "name": "rel3d", | 58 | "name": "rel3d", | ||
59 | "notes": "Rel3D is a large-scale dataset of human-annotated spatial | 59 | "notes": "Rel3D is a large-scale dataset of human-annotated spatial | ||
60 | relations in 3D. It consists of spatial relations situated in | 60 | relations in 3D. It consists of spatial relations situated in | ||
61 | synthetic 3D scenes, making it possible to extract rich and accurate | 61 | synthetic 3D scenes, making it possible to extract rich and accurate | ||
62 | geometric and semantic information.", | 62 | geometric and semantic information.", | ||
n | 63 | "num_resources": 0, | n | 63 | "num_resources": 1, |
64 | "num_tags": 9, | 64 | "num_tags": 9, | ||
65 | "organization": { | 65 | "organization": { | ||
66 | "approval_status": "approved", | 66 | "approval_status": "approved", | ||
67 | "created": "2024-11-25T12:11:38.292601", | 67 | "created": "2024-11-25T12:11:38.292601", | ||
68 | "description": "", | 68 | "description": "", | ||
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70 | "image_url": "", | 70 | "image_url": "", | ||
71 | "is_organization": true, | 71 | "is_organization": true, | ||
72 | "name": "no-organization", | 72 | "name": "no-organization", | ||
73 | "state": "active", | 73 | "state": "active", | ||
74 | "title": "No Organization", | 74 | "title": "No Organization", | ||
75 | "type": "organization" | 75 | "type": "organization" | ||
76 | }, | 76 | }, | ||
77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
78 | "private": false, | 78 | "private": false, | ||
79 | "relationships_as_object": [], | 79 | "relationships_as_object": [], | ||
80 | "relationships_as_subject": [], | 80 | "relationships_as_subject": [], | ||
t | 81 | "resources": [], | t | 81 | "resources": [ |
82 | { | ||||
83 | "cache_last_updated": null, | ||||
84 | "cache_url": null, | ||||
85 | "created": "2024-12-16T18:25:41", | ||||
86 | "data": [ | ||||
87 | "dcterms:title", | ||||
88 | "dcterms:accessRights", | ||||
89 | "dcterms:creator", | ||||
90 | "dcterms:description", | ||||
91 | "dcterms:issued", | ||||
92 | "dcterms:language", | ||||
93 | "dcterms:identifier", | ||||
94 | "dcat:theme", | ||||
95 | "dcterms:type", | ||||
96 | "dcat:keyword", | ||||
97 | "dcat:landingPage", | ||||
98 | "dcterms:hasVersion", | ||||
99 | "dcterms:format", | ||||
100 | "mls:task", | ||||
101 | "datacite:isDescribedBy" | ||||
102 | ], | ||||
103 | "description": "The json representation of the dataset with its | ||||
104 | distributions based on DCAT.", | ||||
105 | "format": "JSON", | ||||
106 | "hash": "", | ||||
107 | "id": "c34edb74-72dc-47f3-9181-b1f27b0184fe", | ||||
108 | "last_modified": "2024-12-16T19:25:23.451726", | ||||
109 | "metadata_modified": "2024-12-16T19:25:23.462938", | ||||
110 | "mimetype": "application/json", | ||||
111 | "mimetype_inner": null, | ||||
112 | "name": "Original Metadata", | ||||
113 | "package_id": "686b8bce-a07f-4eae-b9fd-b6c8e13e7784", | ||||
114 | "position": 0, | ||||
115 | "resource_type": null, | ||||
116 | "size": 1174, | ||||
117 | "state": "active", | ||||
118 | "url": | ||||
119 | resource/c34edb74-72dc-47f3-9181-b1f27b0184fe/download/metadata.json", | ||||
120 | "url_type": "upload" | ||||
121 | } | ||||
122 | ], | ||||
82 | "services_used_list": "", | 123 | "services_used_list": "", | ||
83 | "state": "active", | 124 | "state": "active", | ||
84 | "tags": [ | 125 | "tags": [ | ||
85 | { | 126 | { | ||
86 | "display_name": "3D object recognition", | 127 | "display_name": "3D object recognition", | ||
87 | "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", | 128 | "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", | ||
88 | "name": "3D object recognition", | 129 | "name": "3D object recognition", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
91 | }, | 132 | }, | ||
92 | { | 133 | { | ||
93 | "display_name": "3D scenes", | 134 | "display_name": "3D scenes", | ||
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95 | "name": "3D scenes", | 136 | "name": "3D scenes", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | }, | 139 | }, | ||
99 | { | 140 | { | ||
100 | "display_name": "human-annotated", | 141 | "display_name": "human-annotated", | ||
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102 | "name": "human-annotated", | 143 | "name": "human-annotated", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
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108 | "id": "a209b790-086a-4345-b6af-b7b011b6e040", | 149 | "id": "a209b790-086a-4345-b6af-b7b011b6e040", | ||
109 | "name": "image understanding", | 150 | "name": "image understanding", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | }, | 153 | }, | ||
113 | { | 154 | { | ||
114 | "display_name": "object recognition", | 155 | "display_name": "object recognition", | ||
115 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | 156 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | ||
116 | "name": "object recognition", | 157 | "name": "object recognition", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "spatial relation", | 162 | "display_name": "spatial relation", | ||
122 | "id": "0d33288b-835d-4569-9cff-164d06469cea", | 163 | "id": "0d33288b-835d-4569-9cff-164d06469cea", | ||
123 | "name": "spatial relation", | 164 | "name": "spatial relation", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | }, | 167 | }, | ||
127 | { | 168 | { | ||
128 | "display_name": "spatial relations", | 169 | "display_name": "spatial relations", | ||
129 | "id": "4710452d-a3e9-4719-b809-72bd47f2fa0d", | 170 | "id": "4710452d-a3e9-4719-b809-72bd47f2fa0d", | ||
130 | "name": "spatial relations", | 171 | "name": "spatial relations", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "spatial relationships", | 176 | "display_name": "spatial relationships", | ||
136 | "id": "e215767b-5fcf-40be-a279-a7074cf22bca", | 177 | "id": "e215767b-5fcf-40be-a279-a7074cf22bca", | ||
137 | "name": "spatial relationships", | 178 | "name": "spatial relationships", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "synthetic scenes", | 183 | "display_name": "synthetic scenes", | ||
143 | "id": "ea9df8d7-dd06-49a1-b959-34a16fa2ea71", | 184 | "id": "ea9df8d7-dd06-49a1-b959-34a16fa2ea71", | ||
144 | "name": "synthetic scenes", | 185 | "name": "synthetic scenes", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | } | 188 | } | ||
148 | ], | 189 | ], | ||
149 | "title": "Rel3D", | 190 | "title": "Rel3D", | ||
150 | "type": "dataset", | 191 | "type": "dataset", | ||
151 | "version": "" | 192 | "version": "" | ||
152 | } | 193 | } |