Changes
On December 2, 2024 at 10:18:47 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in PASCAL -
Changed value of field
doi_date_published
to2024-12-02
in PASCAL -
Added resource Original Metadata to PASCAL
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Mohammadreza Mostajabi", | 3 | "author": "Mohammadreza Mostajabi", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2201.04467", | 6 | "https://doi.org/10.48550/arXiv.2201.04467", | ||
7 | "https://doi.org/10.48550/arXiv.2304.08594" | 7 | "https://doi.org/10.48550/arXiv.2304.08594" | ||
8 | ], | 8 | ], | ||
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10 | "defined_in": "https://doi.org/10.48550/arXiv.1804.02009", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1804.02009", | ||
11 | "doi": "10.57702/es5hpazw", | 11 | "doi": "10.57702/es5hpazw", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-02", |
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Michael Maire", | 18 | "extra_author": "Michael Maire", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Gregory Shakhnarovich", | 22 | "extra_author": "Gregory Shakhnarovich", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | } | 24 | } | ||
25 | ], | 25 | ], | ||
26 | "groups": [ | 26 | "groups": [ | ||
27 | { | 27 | { | ||
28 | "description": "", | 28 | "description": "", | ||
29 | "display_name": "Image Segmentation", | 29 | "display_name": "Image Segmentation", | ||
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32 | "name": "image-segmentation", | 32 | "name": "image-segmentation", | ||
33 | "title": "Image Segmentation" | 33 | "title": "Image Segmentation" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "description": "", | 36 | "description": "", | ||
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39 | "image_display_url": "", | 39 | "image_display_url": "", | ||
40 | "name": "object-detection", | 40 | "name": "object-detection", | ||
41 | "title": "Object Detection" | 41 | "title": "Object Detection" | ||
42 | }, | 42 | }, | ||
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44 | "description": "", | 44 | "description": "", | ||
45 | "display_name": "Object Segmentation", | 45 | "display_name": "Object Segmentation", | ||
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47 | "image_display_url": "", | 47 | "image_display_url": "", | ||
48 | "name": "object-segmentation", | 48 | "name": "object-segmentation", | ||
49 | "title": "Object Segmentation" | 49 | "title": "Object Segmentation" | ||
50 | }, | 50 | }, | ||
51 | { | 51 | { | ||
52 | "description": "", | 52 | "description": "", | ||
53 | "display_name": "Textual Entailment", | 53 | "display_name": "Textual Entailment", | ||
54 | "id": "9b2f3192-e2b1-469d-95bc-790637167139", | 54 | "id": "9b2f3192-e2b1-469d-95bc-790637167139", | ||
55 | "image_display_url": "", | 55 | "image_display_url": "", | ||
56 | "name": "textual-entailment", | 56 | "name": "textual-entailment", | ||
57 | "title": "Textual Entailment" | 57 | "title": "Textual Entailment" | ||
58 | } | 58 | } | ||
59 | ], | 59 | ], | ||
60 | "id": "673d74ac-e398-4edf-820e-fc7769554e5f", | 60 | "id": "673d74ac-e398-4edf-820e-fc7769554e5f", | ||
61 | "isopen": false, | 61 | "isopen": false, | ||
62 | "landing_page": "https://www.pascal-vox.org/", | 62 | "landing_page": "https://www.pascal-vox.org/", | ||
63 | "license_title": null, | 63 | "license_title": null, | ||
64 | "link_orkg": "", | 64 | "link_orkg": "", | ||
65 | "metadata_created": "2024-12-02T22:18:45.533305", | 65 | "metadata_created": "2024-12-02T22:18:45.533305", | ||
n | 66 | "metadata_modified": "2024-12-02T22:18:45.533311", | n | 66 | "metadata_modified": "2024-12-02T22:18:46.201354", |
67 | "name": "pascal", | 67 | "name": "pascal", | ||
68 | "notes": "A dataset of textual entailment tasks, used for evaluating | 68 | "notes": "A dataset of textual entailment tasks, used for evaluating | ||
69 | the ability of language models to understand relationships between | 69 | the ability of language models to understand relationships between | ||
70 | texts.", | 70 | texts.", | ||
n | 71 | "num_resources": 0, | n | 71 | "num_resources": 1, |
72 | "num_tags": 9, | 72 | "num_tags": 9, | ||
73 | "organization": { | 73 | "organization": { | ||
74 | "approval_status": "approved", | 74 | "approval_status": "approved", | ||
75 | "created": "2024-11-25T12:11:38.292601", | 75 | "created": "2024-11-25T12:11:38.292601", | ||
76 | "description": "", | 76 | "description": "", | ||
77 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 77 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
78 | "image_url": "", | 78 | "image_url": "", | ||
79 | "is_organization": true, | 79 | "is_organization": true, | ||
80 | "name": "no-organization", | 80 | "name": "no-organization", | ||
81 | "state": "active", | 81 | "state": "active", | ||
82 | "title": "No Organization", | 82 | "title": "No Organization", | ||
83 | "type": "organization" | 83 | "type": "organization" | ||
84 | }, | 84 | }, | ||
85 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 85 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
86 | "private": false, | 86 | "private": false, | ||
87 | "relationships_as_object": [], | 87 | "relationships_as_object": [], | ||
88 | "relationships_as_subject": [], | 88 | "relationships_as_subject": [], | ||
t | 89 | "resources": [], | t | 89 | "resources": [ |
90 | { | ||||
91 | "cache_last_updated": null, | ||||
92 | "cache_url": null, | ||||
93 | "created": "2024-12-02T22:29:38", | ||||
94 | "data": [ | ||||
95 | "dcterms:title", | ||||
96 | "dcterms:accessRights", | ||||
97 | "dcterms:creator", | ||||
98 | "dcterms:description", | ||||
99 | "dcterms:issued", | ||||
100 | "dcterms:language", | ||||
101 | "dcterms:identifier", | ||||
102 | "dcat:theme", | ||||
103 | "dcterms:type", | ||||
104 | "dcat:keyword", | ||||
105 | "dcat:landingPage", | ||||
106 | "dcterms:hasVersion", | ||||
107 | "dcterms:format", | ||||
108 | "mls:task", | ||||
109 | "datacite:isDescribedBy" | ||||
110 | ], | ||||
111 | "description": "The json representation of the dataset with its | ||||
112 | distributions based on DCAT.", | ||||
113 | "format": "JSON", | ||||
114 | "hash": "", | ||||
115 | "id": "ff1804a3-ccf1-4701-bfd5-9e3d0132f3cb", | ||||
116 | "last_modified": "2024-12-02T22:18:46.192790", | ||||
117 | "metadata_modified": "2024-12-02T22:18:46.204314", | ||||
118 | "mimetype": "application/json", | ||||
119 | "mimetype_inner": null, | ||||
120 | "name": "Original Metadata", | ||||
121 | "package_id": "673d74ac-e398-4edf-820e-fc7769554e5f", | ||||
122 | "position": 0, | ||||
123 | "resource_type": null, | ||||
124 | "size": 1068, | ||||
125 | "state": "active", | ||||
126 | "url": | ||||
127 | resource/ff1804a3-ccf1-4701-bfd5-9e3d0132f3cb/download/metadata.json", | ||||
128 | "url_type": "upload" | ||||
129 | } | ||||
130 | ], | ||||
90 | "services_used_list": "", | 131 | "services_used_list": "", | ||
91 | "state": "active", | 132 | "state": "active", | ||
92 | "tags": [ | 133 | "tags": [ | ||
93 | { | 134 | { | ||
94 | "display_name": "Corpus", | 135 | "display_name": "Corpus", | ||
95 | "id": "5e434f4b-89f6-489e-9e6e-d2ff6003d493", | 136 | "id": "5e434f4b-89f6-489e-9e6e-d2ff6003d493", | ||
96 | "name": "Corpus", | 137 | "name": "Corpus", | ||
97 | "state": "active", | 138 | "state": "active", | ||
98 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
99 | }, | 140 | }, | ||
100 | { | 141 | { | ||
101 | "display_name": "Image Classification", | 142 | "display_name": "Image Classification", | ||
102 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 143 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
103 | "name": "Image Classification", | 144 | "name": "Image Classification", | ||
104 | "state": "active", | 145 | "state": "active", | ||
105 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
106 | }, | 147 | }, | ||
107 | { | 148 | { | ||
108 | "display_name": "Language Models", | 149 | "display_name": "Language Models", | ||
109 | "id": "3c8ccbd5-9585-4599-8612-76c0221af944", | 150 | "id": "3c8ccbd5-9585-4599-8612-76c0221af944", | ||
110 | "name": "Language Models", | 151 | "name": "Language Models", | ||
111 | "state": "active", | 152 | "state": "active", | ||
112 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
113 | }, | 154 | }, | ||
114 | { | 155 | { | ||
115 | "display_name": "Object Detection", | 156 | "display_name": "Object Detection", | ||
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117 | "name": "Object Detection", | 158 | "name": "Object Detection", | ||
118 | "state": "active", | 159 | "state": "active", | ||
119 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
120 | }, | 161 | }, | ||
121 | { | 162 | { | ||
122 | "display_name": "Object Segmentation", | 163 | "display_name": "Object Segmentation", | ||
123 | "id": "64ca9c05-1123-404f-b679-7768b2ff55d2", | 164 | "id": "64ca9c05-1123-404f-b679-7768b2ff55d2", | ||
124 | "name": "Object Segmentation", | 165 | "name": "Object Segmentation", | ||
125 | "state": "active", | 166 | "state": "active", | ||
126 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
127 | }, | 168 | }, | ||
128 | { | 169 | { | ||
129 | "display_name": "PASCAL", | 170 | "display_name": "PASCAL", | ||
130 | "id": "a1f5dcd1-bfa3-4f7d-81a0-9a47e25f0fc9", | 171 | "id": "a1f5dcd1-bfa3-4f7d-81a0-9a47e25f0fc9", | ||
131 | "name": "PASCAL", | 172 | "name": "PASCAL", | ||
132 | "state": "active", | 173 | "state": "active", | ||
133 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
134 | }, | 175 | }, | ||
135 | { | 176 | { | ||
136 | "display_name": "Textual Entailment", | 177 | "display_name": "Textual Entailment", | ||
137 | "id": "1643b4fe-2de2-49f4-9fe2-f222f7ef7fab", | 178 | "id": "1643b4fe-2de2-49f4-9fe2-f222f7ef7fab", | ||
138 | "name": "Textual Entailment", | 179 | "name": "Textual Entailment", | ||
139 | "state": "active", | 180 | "state": "active", | ||
140 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
141 | }, | 182 | }, | ||
142 | { | 183 | { | ||
143 | "display_name": "image segmentation", | 184 | "display_name": "image segmentation", | ||
144 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | 185 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | ||
145 | "name": "image segmentation", | 186 | "name": "image segmentation", | ||
146 | "state": "active", | 187 | "state": "active", | ||
147 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
148 | }, | 189 | }, | ||
149 | { | 190 | { | ||
150 | "display_name": "semantic segmentation", | 191 | "display_name": "semantic segmentation", | ||
151 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 192 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
152 | "name": "semantic segmentation", | 193 | "name": "semantic segmentation", | ||
153 | "state": "active", | 194 | "state": "active", | ||
154 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
155 | } | 196 | } | ||
156 | ], | 197 | ], | ||
157 | "title": "PASCAL", | 198 | "title": "PASCAL", | ||
158 | "type": "dataset", | 199 | "type": "dataset", | ||
159 | "version": "" | 200 | "version": "" | ||
160 | } | 201 | } |