Changes
On December 2, 2024 at 10:55:11 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in VQAv2 -
Changed value of field
doi_date_published
to2024-12-02
in VQAv2 -
Added resource Original Metadata to VQAv2
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yen-Chun Chen", | 3 | "author": "Yen-Chun Chen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2007.09592", | 6 | "https://doi.org/10.48550/arXiv.2007.09592", | ||
7 | "https://doi.org/10.48550/arXiv.2402.08756", | 7 | "https://doi.org/10.48550/arXiv.2402.08756", | ||
8 | "https://doi.org/10.48550/arXiv.2402.08360" | 8 | "https://doi.org/10.48550/arXiv.2402.08360" | ||
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.2305.10722", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2305.10722", | ||
12 | "doi": "10.57702/kob379ex", | 12 | "doi": "10.57702/kob379ex", | ||
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": "Linjie Li", | 19 | "extra_author": "Linjie Li", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Licheng Yu", | 23 | "extra_author": "Licheng Yu", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Ahmed El Kholy", | 27 | "extra_author": "Ahmed El Kholy", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Faisal Ahmed", | 31 | "extra_author": "Faisal Ahmed", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Zhe Gan", | 35 | "extra_author": "Zhe Gan", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Yu Cheng", | 39 | "extra_author": "Yu Cheng", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Jingjing Liu", | 43 | "extra_author": "Jingjing Liu", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | } | 45 | } | ||
46 | ], | 46 | ], | ||
47 | "groups": [ | 47 | "groups": [ | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Question Answering", | 50 | "display_name": "Question Answering", | ||
51 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 51 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "question-answering", | 53 | "name": "question-answering", | ||
54 | "title": "Question Answering" | 54 | "title": "Question Answering" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Visual Question Answering", | 58 | "display_name": "Visual Question Answering", | ||
59 | "id": "e15f82e8-481e-43a8-8a39-d6e0751ace6c", | 59 | "id": "e15f82e8-481e-43a8-8a39-d6e0751ace6c", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "visual-question-answering", | 61 | "name": "visual-question-answering", | ||
62 | "title": "Visual Question Answering" | 62 | "title": "Visual Question Answering" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "id": "ff57ea70-5f5c-43eb-84c1-0d26337a3415", | 65 | "id": "ff57ea70-5f5c-43eb-84c1-0d26337a3415", | ||
66 | "isopen": false, | 66 | "isopen": false, | ||
67 | "landing_page": "https://huggingface.co/datasets/vqa2", | 67 | "landing_page": "https://huggingface.co/datasets/vqa2", | ||
68 | "license_title": null, | 68 | "license_title": null, | ||
69 | "link_orkg": "", | 69 | "link_orkg": "", | ||
70 | "metadata_created": "2024-12-02T22:55:10.023337", | 70 | "metadata_created": "2024-12-02T22:55:10.023337", | ||
n | 71 | "metadata_modified": "2024-12-02T22:55:10.023342", | n | 71 | "metadata_modified": "2024-12-02T22:55:10.609934", |
72 | "name": "vqav2", | 72 | "name": "vqav2", | ||
73 | "notes": "Visual Question Answering (VQA) has achieved great success | 73 | "notes": "Visual Question Answering (VQA) has achieved great success | ||
74 | thanks to the fast development of deep neural networks (DNN). On the | 74 | thanks to the fast development of deep neural networks (DNN). On the | ||
75 | other hand, the data augmentation, as one of the major tricks for DNN, | 75 | other hand, the data augmentation, as one of the major tricks for DNN, | ||
76 | has been widely used in many computer vision tasks.", | 76 | has been widely used in many computer vision tasks.", | ||
n | 77 | "num_resources": 0, | n | 77 | "num_resources": 1, |
78 | "num_tags": 8, | 78 | "num_tags": 8, | ||
79 | "organization": { | 79 | "organization": { | ||
80 | "approval_status": "approved", | 80 | "approval_status": "approved", | ||
81 | "created": "2024-11-25T12:11:38.292601", | 81 | "created": "2024-11-25T12:11:38.292601", | ||
82 | "description": "", | 82 | "description": "", | ||
83 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 83 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
84 | "image_url": "", | 84 | "image_url": "", | ||
85 | "is_organization": true, | 85 | "is_organization": true, | ||
86 | "name": "no-organization", | 86 | "name": "no-organization", | ||
87 | "state": "active", | 87 | "state": "active", | ||
88 | "title": "No Organization", | 88 | "title": "No Organization", | ||
89 | "type": "organization" | 89 | "type": "organization" | ||
90 | }, | 90 | }, | ||
91 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 91 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
92 | "private": false, | 92 | "private": false, | ||
93 | "relationships_as_object": [], | 93 | "relationships_as_object": [], | ||
94 | "relationships_as_subject": [], | 94 | "relationships_as_subject": [], | ||
t | 95 | "resources": [], | t | 95 | "resources": [ |
96 | { | ||||
97 | "cache_last_updated": null, | ||||
98 | "cache_url": null, | ||||
99 | "created": "2024-12-02T22:29:38", | ||||
100 | "data": [ | ||||
101 | "dcterms:title", | ||||
102 | "dcterms:accessRights", | ||||
103 | "dcterms:creator", | ||||
104 | "dcterms:description", | ||||
105 | "dcterms:issued", | ||||
106 | "dcterms:language", | ||||
107 | "dcterms:identifier", | ||||
108 | "dcat:theme", | ||||
109 | "dcterms:type", | ||||
110 | "dcat:keyword", | ||||
111 | "dcat:landingPage", | ||||
112 | "dcterms:hasVersion", | ||||
113 | "dcterms:format", | ||||
114 | "mls:task", | ||||
115 | "datacite:isDescribedBy" | ||||
116 | ], | ||||
117 | "description": "The json representation of the dataset with its | ||||
118 | distributions based on DCAT.", | ||||
119 | "format": "JSON", | ||||
120 | "hash": "", | ||||
121 | "id": "b57d2d0e-b3c0-4961-b8fd-622fed10933b", | ||||
122 | "last_modified": "2024-12-02T22:55:10.601977", | ||||
123 | "metadata_modified": "2024-12-02T22:55:10.612661", | ||||
124 | "mimetype": "application/json", | ||||
125 | "mimetype_inner": null, | ||||
126 | "name": "Original Metadata", | ||||
127 | "package_id": "ff57ea70-5f5c-43eb-84c1-0d26337a3415", | ||||
128 | "position": 0, | ||||
129 | "resource_type": null, | ||||
130 | "size": 1204, | ||||
131 | "state": "active", | ||||
132 | "url": | ||||
133 | resource/b57d2d0e-b3c0-4961-b8fd-622fed10933b/download/metadata.json", | ||||
134 | "url_type": "upload" | ||||
135 | } | ||||
136 | ], | ||||
96 | "services_used_list": "", | 137 | "services_used_list": "", | ||
97 | "state": "active", | 138 | "state": "active", | ||
98 | "tags": [ | 139 | "tags": [ | ||
99 | { | 140 | { | ||
100 | "display_name": "Image Captioning", | 141 | "display_name": "Image Captioning", | ||
101 | "id": "c708cba4-0a1f-45c9-826f-898857783343", | 142 | "id": "c708cba4-0a1f-45c9-826f-898857783343", | ||
102 | "name": "Image Captioning", | 143 | "name": "Image Captioning", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
107 | "display_name": "Question Answering", | 148 | "display_name": "Question Answering", | ||
108 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | 149 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | ||
109 | "name": "Question Answering", | 150 | "name": "Question Answering", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | }, | 153 | }, | ||
113 | { | 154 | { | ||
114 | "display_name": "Visual Question Answering", | 155 | "display_name": "Visual Question Answering", | ||
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116 | "name": "Visual Question Answering", | 157 | "name": "Visual Question Answering", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "image-text matching", | 162 | "display_name": "image-text matching", | ||
122 | "id": "75c56b7d-ab6b-4dd8-88f8-67e92928dca0", | 163 | "id": "75c56b7d-ab6b-4dd8-88f8-67e92928dca0", | ||
123 | "name": "image-text matching", | 164 | "name": "image-text matching", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | }, | 167 | }, | ||
127 | { | 168 | { | ||
128 | "display_name": "large-scale dataset", | 169 | "display_name": "large-scale dataset", | ||
129 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | 170 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||
130 | "name": "large-scale dataset", | 171 | "name": "large-scale dataset", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "natural language processing", | 176 | "display_name": "natural language processing", | ||
136 | "id": "8af9c93a-1d87-41e0-83d9-f5d01a2bbd0c", | 177 | "id": "8af9c93a-1d87-41e0-83d9-f5d01a2bbd0c", | ||
137 | "name": "natural language processing", | 178 | "name": "natural language processing", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "vision-language", | 183 | "display_name": "vision-language", | ||
143 | "id": "81685daa-749b-408e-97dc-4ca793a0f68d", | 184 | "id": "81685daa-749b-408e-97dc-4ca793a0f68d", | ||
144 | "name": "vision-language", | 185 | "name": "vision-language", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | }, | 188 | }, | ||
148 | { | 189 | { | ||
149 | "display_name": "visual question answering", | 190 | "display_name": "visual question answering", | ||
150 | "id": "8be24887-e029-464f-b56c-1d0a460e2005", | 191 | "id": "8be24887-e029-464f-b56c-1d0a460e2005", | ||
151 | "name": "visual question answering", | 192 | "name": "visual question answering", | ||
152 | "state": "active", | 193 | "state": "active", | ||
153 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
154 | } | 195 | } | ||
155 | ], | 196 | ], | ||
156 | "title": "VQAv2", | 197 | "title": "VQAv2", | ||
157 | "type": "dataset", | 198 | "type": "dataset", | ||
158 | "version": "" | 199 | "version": "" | ||
159 | } | 200 | } |