Changes
On December 3, 2024 at 7:37:20 AM UTC, admin:
-
Changed title to Thingi10k (previously Thingi10K)
-
Set author of Thingi10k to Yiwei Ma (previously Yongwei Chen)
-
Updated description of Thingi10k from
The dataset used in the paper for text-driven photorealistic 3D style transfer.
toThe dataset contains 10,000 3D-printing models.
-
Removed the following tags from Thingi10k
-
Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2303.15764
in Thingi10k -
Changed value of field
citation
to[]
in Thingi10k -
Changed value of field
landing_page
tohttps://arxiv.org/abs/1605.04797
in Thingi10k -
Changed value of field
extra_authors
to[{'extra_author': 'Xiaoshuai Sun', 'orcid': ''}, {'extra_author': 'Jiayi Ji', 'orcid': ''}, {'extra_author': 'Rongrong Ji', 'orcid': ''}]
in Thingi10k -
Deleted resource Original Metadata from Thingi10k
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Yongwei Chen", | n | 3 | "author": "Yiwei Ma", |
4 | "author_email": "", | 4 | "author_email": "", | ||
n | 5 | "citation": [ | n | 5 | "citation": [], |
6 | "https://doi.org/10.1016/j.optlaseng.2022.107447", | ||||
7 | "https://doi.org/10.48550/arXiv.2210.11277" | ||||
8 | ], | ||||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2312.04248", | n | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2303.15764", |
11 | "doi": "10.57702/3sya7ys4", | 8 | "doi": "10.57702/3sya7ys4", | ||
12 | "doi_date_published": "2024-12-02", | 9 | "doi_date_published": "2024-12-02", | ||
13 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
14 | "doi_status": true, | 11 | "doi_status": true, | ||
15 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 13 | "extra_authors": [ | ||
17 | { | 14 | { | ||
n | 18 | "extra_author": "Rui Chen", | n | 15 | "extra_author": "Xiaoshuai Sun", |
19 | "orcid": "" | 16 | "orcid": "" | ||
20 | }, | 17 | }, | ||
21 | { | 18 | { | ||
n | 22 | "extra_author": "Jiabao Lei", | n | 19 | "extra_author": "Jiayi Ji", |
23 | "orcid": "" | 20 | "orcid": "" | ||
24 | }, | 21 | }, | ||
25 | { | 22 | { | ||
n | 26 | "extra_author": "Yabin Zhang", | n | ||
27 | "orcid": "" | ||||
28 | }, | ||||
29 | { | ||||
30 | "extra_author": "Kui Jia", | 23 | "extra_author": "Rongrong Ji", | ||
31 | "orcid": "" | 24 | "orcid": "" | ||
32 | } | 25 | } | ||
33 | ], | 26 | ], | ||
34 | "groups": [ | 27 | "groups": [ | ||
35 | { | 28 | { | ||
36 | "description": "", | 29 | "description": "", | ||
37 | "display_name": "3D Printing", | 30 | "display_name": "3D Printing", | ||
38 | "id": "3016ade3-e256-4742-b034-22bd7841970e", | 31 | "id": "3016ade3-e256-4742-b034-22bd7841970e", | ||
39 | "image_display_url": "", | 32 | "image_display_url": "", | ||
40 | "name": "3d-printing", | 33 | "name": "3d-printing", | ||
41 | "title": "3D Printing" | 34 | "title": "3D Printing" | ||
n | 42 | }, | n | ||
43 | { | ||||
44 | "description": "", | ||||
45 | "display_name": "3D models", | ||||
46 | "id": "6de8d8be-69b8-4701-9b03-5d3f83d02902", | ||||
47 | "image_display_url": "", | ||||
48 | "name": "3d-models", | ||||
49 | "title": "3D models" | ||||
50 | }, | ||||
51 | { | ||||
52 | "description": "", | ||||
53 | "display_name": "Object Models", | ||||
54 | "id": "9a6481f7-4009-40e4-b103-6eeb62c2d90e", | ||||
55 | "image_display_url": "", | ||||
56 | "name": "object-models", | ||||
57 | "title": "Object Models" | ||||
58 | }, | ||||
59 | { | ||||
60 | "description": "", | ||||
61 | "display_name": "Object Recognition", | ||||
62 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | ||||
63 | "image_display_url": "", | ||||
64 | "name": "object-recognition", | ||||
65 | "title": "Object Recognition" | ||||
66 | } | 35 | } | ||
67 | ], | 36 | ], | ||
68 | "id": "82a60885-0604-46d4-bc0a-12208d7813a1", | 37 | "id": "82a60885-0604-46d4-bc0a-12208d7813a1", | ||
69 | "isopen": false, | 38 | "isopen": false, | ||
n | 70 | "landing_page": "https://www.thingi10k.org/", | n | 39 | "landing_page": "https://arxiv.org/abs/1605.04797", |
71 | "license_title": null, | 40 | "license_title": null, | ||
72 | "link_orkg": "", | 41 | "link_orkg": "", | ||
73 | "metadata_created": "2024-12-02T18:05:42.490667", | 42 | "metadata_created": "2024-12-02T18:05:42.490667", | ||
n | 74 | "metadata_modified": "2024-12-02T18:05:42.852952", | n | 43 | "metadata_modified": "2024-12-03T07:37:19.448592", |
75 | "name": "thingi10k", | 44 | "name": "thingi10k", | ||
n | 76 | "notes": "The dataset used in the paper for text-driven | n | 45 | "notes": "The dataset contains 10,000 3D-printing models.", |
77 | photorealistic 3D style transfer.", | ||||
78 | "num_resources": 1, | 46 | "num_resources": 0, | ||
79 | "num_tags": 8, | 47 | "num_tags": 2, | ||
80 | "organization": { | 48 | "organization": { | ||
81 | "approval_status": "approved", | 49 | "approval_status": "approved", | ||
82 | "created": "2024-11-25T12:11:38.292601", | 50 | "created": "2024-11-25T12:11:38.292601", | ||
83 | "description": "", | 51 | "description": "", | ||
84 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 52 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
85 | "image_url": "", | 53 | "image_url": "", | ||
86 | "is_organization": true, | 54 | "is_organization": true, | ||
87 | "name": "no-organization", | 55 | "name": "no-organization", | ||
88 | "state": "active", | 56 | "state": "active", | ||
89 | "title": "No Organization", | 57 | "title": "No Organization", | ||
90 | "type": "organization" | 58 | "type": "organization" | ||
91 | }, | 59 | }, | ||
92 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 60 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
93 | "private": false, | 61 | "private": false, | ||
94 | "relationships_as_object": [], | 62 | "relationships_as_object": [], | ||
95 | "relationships_as_subject": [], | 63 | "relationships_as_subject": [], | ||
n | 96 | "resources": [ | n | 64 | "resources": [], |
97 | { | ||||
98 | "cache_last_updated": null, | ||||
99 | "cache_url": null, | ||||
100 | "created": "2024-12-02T18:38:42", | ||||
101 | "data": [ | ||||
102 | "dcterms:title", | ||||
103 | "dcterms:accessRights", | ||||
104 | "dcterms:creator", | ||||
105 | "dcterms:description", | ||||
106 | "dcterms:issued", | ||||
107 | "dcterms:language", | ||||
108 | "dcterms:identifier", | ||||
109 | "dcat:theme", | ||||
110 | "dcterms:type", | ||||
111 | "dcat:keyword", | ||||
112 | "dcat:landingPage", | ||||
113 | "dcterms:hasVersion", | ||||
114 | "dcterms:format", | ||||
115 | "mls:task", | ||||
116 | "datacite:isDescribedBy" | ||||
117 | ], | ||||
118 | "description": "The json representation of the dataset with its | ||||
119 | distributions based on DCAT.", | ||||
120 | "format": "JSON", | ||||
121 | "hash": "", | ||||
122 | "id": "388138d8-a9ab-4853-9673-1382b3cbde50", | ||||
123 | "last_modified": "2024-12-02T18:05:42.844691", | ||||
124 | "metadata_modified": "2024-12-02T18:05:42.856553", | ||||
125 | "mimetype": "application/json", | ||||
126 | "mimetype_inner": null, | ||||
127 | "name": "Original Metadata", | ||||
128 | "package_id": "82a60885-0604-46d4-bc0a-12208d7813a1", | ||||
129 | "position": 0, | ||||
130 | "resource_type": null, | ||||
131 | "size": 932, | ||||
132 | "state": "active", | ||||
133 | "url": | ||||
134 | resource/388138d8-a9ab-4853-9673-1382b3cbde50/download/metadata.json", | ||||
135 | "url_type": "upload" | ||||
136 | } | ||||
137 | ], | ||||
138 | "services_used_list": "", | 65 | "services_used_list": "", | ||
139 | "state": "active", | 66 | "state": "active", | ||
140 | "tags": [ | 67 | "tags": [ | ||
n | 141 | { | n | ||
142 | "display_name": " Thingi10K", | ||||
143 | "id": "abc4c1f3-8b8d-4b64-8810-0debf82c472b", | ||||
144 | "name": " Thingi10K", | ||||
145 | "state": "active", | ||||
146 | "vocabulary_id": null | ||||
147 | }, | ||||
148 | { | ||||
149 | "display_name": "3D Models", | ||||
150 | "id": "c8bc62a3-c36d-4af0-8ab9-77b2dca2dfe5", | ||||
151 | "name": "3D Models", | ||||
152 | "state": "active", | ||||
153 | "vocabulary_id": null | ||||
154 | }, | ||||
155 | { | 68 | { | ||
156 | "display_name": "3D Printing", | 69 | "display_name": "3D Printing", | ||
157 | "id": "9e1763b9-40db-41da-89f1-2797c5d17009", | 70 | "id": "9e1763b9-40db-41da-89f1-2797c5d17009", | ||
158 | "name": "3D Printing", | 71 | "name": "3D Printing", | ||
159 | "state": "active", | 72 | "state": "active", | ||
160 | "vocabulary_id": null | 73 | "vocabulary_id": null | ||
161 | }, | 74 | }, | ||
162 | { | 75 | { | ||
n | 163 | "display_name": "3D printing", | n | ||
164 | "id": "e011b2ee-2e95-4ad3-b97d-e62faec38bf5", | ||||
165 | "name": "3D printing", | ||||
166 | "state": "active", | ||||
167 | "vocabulary_id": null | ||||
168 | }, | ||||
169 | { | ||||
170 | "display_name": "Meshes", | 76 | "display_name": "Models", | ||
171 | "id": "8bd3583c-ef7d-45fe-be58-5a3355ac5949", | 77 | "id": "dc69e073-06ae-46c2-adda-7139b47d1d43", | ||
172 | "name": "Meshes", | 78 | "name": "Models", | ||
173 | "state": "active", | ||||
174 | "vocabulary_id": null | ||||
175 | }, | ||||
176 | { | ||||
177 | "display_name": "Object Recognition", | ||||
178 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||||
179 | "name": "Object Recognition", | ||||
180 | "state": "active", | ||||
181 | "vocabulary_id": null | ||||
182 | }, | ||||
183 | { | ||||
184 | "display_name": "Thingi10K", | ||||
185 | "id": "9b3161b2-9bd4-45e6-aee9-e4cea4239976", | ||||
186 | "name": "Thingi10K", | ||||
187 | "state": "active", | ||||
188 | "vocabulary_id": null | ||||
189 | }, | ||||
190 | { | ||||
191 | "display_name": "object models", | ||||
192 | "id": "d5170acd-65cf-49bb-a0c3-0ff19ff7ea00", | ||||
193 | "name": "object models", | ||||
194 | "state": "active", | 79 | "state": "active", | ||
195 | "vocabulary_id": null | 80 | "vocabulary_id": null | ||
196 | } | 81 | } | ||
197 | ], | 82 | ], | ||
t | 198 | "title": "Thingi10K", | t | 83 | "title": "Thingi10k", |
199 | "type": "dataset", | 84 | "type": "dataset", | ||
200 | "version": "" | 85 | "version": "" | ||
201 | } | 86 | } |