Changes
On December 3, 2024 at 10:23:05 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in CLEVRER -
Changed value of field
doi_date_published
to2024-12-03
in CLEVRER -
Added resource Original Metadata to CLEVRER
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3 | "author": "Yi et al.", | 3 | "author": "Yi et al.", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2306.03988", | 6 | "https://doi.org/10.48550/arXiv.2306.03988", | ||
7 | "https://doi.org/10.48550/arXiv.2212.00235" | 7 | "https://doi.org/10.48550/arXiv.2212.00235" | ||
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10 | "defined_in": "https://doi.org/10.48550/arXiv.2109.06133", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2109.06133", | ||
11 | "doi": "10.57702/wyqf50zl", | 11 | "doi": "10.57702/wyqf50zl", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-03", |
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
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15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "groups": [ | 16 | "groups": [ | ||
17 | { | 17 | { | ||
18 | "description": "", | 18 | "description": "", | ||
19 | "display_name": "Object Interaction", | 19 | "display_name": "Object Interaction", | ||
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22 | "name": "object-interaction", | 22 | "name": "object-interaction", | ||
23 | "title": "Object Interaction" | 23 | "title": "Object Interaction" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "description": "", | 26 | "description": "", | ||
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29 | "image_display_url": "", | 29 | "image_display_url": "", | ||
30 | "name": "video-generation", | 30 | "name": "video-generation", | ||
31 | "title": "Video Generation" | 31 | "title": "Video Generation" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "description": "", | 34 | "description": "", | ||
35 | "display_name": "Video Reasoning", | 35 | "display_name": "Video Reasoning", | ||
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37 | "image_display_url": "", | 37 | "image_display_url": "", | ||
38 | "name": "video-reasoning", | 38 | "name": "video-reasoning", | ||
39 | "title": "Video Reasoning" | 39 | "title": "Video Reasoning" | ||
40 | } | 40 | } | ||
41 | ], | 41 | ], | ||
42 | "id": "54add352-8362-4f4c-9811-b92a99879f07", | 42 | "id": "54add352-8362-4f4c-9811-b92a99879f07", | ||
43 | "isopen": false, | 43 | "isopen": false, | ||
44 | "landing_page": "https://github.com/klvclab/CLEVRER", | 44 | "landing_page": "https://github.com/klvclab/CLEVRER", | ||
45 | "license_title": null, | 45 | "license_title": null, | ||
46 | "link_orkg": "", | 46 | "link_orkg": "", | ||
47 | "metadata_created": "2024-12-03T10:23:04.195188", | 47 | "metadata_created": "2024-12-03T10:23:04.195188", | ||
n | 48 | "metadata_modified": "2024-12-03T10:23:04.195195", | n | 48 | "metadata_modified": "2024-12-03T10:23:04.559041", |
49 | "name": "clevrer", | 49 | "name": "clevrer", | ||
50 | "notes": "The CLEVRER dataset is a dataset for video reasoning, | 50 | "notes": "The CLEVRER dataset is a dataset for video reasoning, | ||
51 | where videos are presented to the model, along with a set of related | 51 | where videos are presented to the model, along with a set of related | ||
52 | questions, and the model's outputs are the answers to these | 52 | questions, and the model's outputs are the answers to these | ||
53 | questions.", | 53 | questions.", | ||
n | 54 | "num_resources": 0, | n | 54 | "num_resources": 1, |
55 | "num_tags": 6, | 55 | "num_tags": 6, | ||
56 | "organization": { | 56 | "organization": { | ||
57 | "approval_status": "approved", | 57 | "approval_status": "approved", | ||
58 | "created": "2024-11-25T12:11:38.292601", | 58 | "created": "2024-11-25T12:11:38.292601", | ||
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61 | "image_url": "", | 61 | "image_url": "", | ||
62 | "is_organization": true, | 62 | "is_organization": true, | ||
63 | "name": "no-organization", | 63 | "name": "no-organization", | ||
64 | "state": "active", | 64 | "state": "active", | ||
65 | "title": "No Organization", | 65 | "title": "No Organization", | ||
66 | "type": "organization" | 66 | "type": "organization" | ||
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68 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 68 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
69 | "private": false, | 69 | "private": false, | ||
70 | "relationships_as_object": [], | 70 | "relationships_as_object": [], | ||
71 | "relationships_as_subject": [], | 71 | "relationships_as_subject": [], | ||
t | 72 | "resources": [], | t | 72 | "resources": [ |
73 | { | ||||
74 | "cache_last_updated": null, | ||||
75 | "cache_url": null, | ||||
76 | "created": "2024-12-03T11:11:17", | ||||
77 | "data": [ | ||||
78 | "dcterms:title", | ||||
79 | "dcterms:accessRights", | ||||
80 | "dcterms:creator", | ||||
81 | "dcterms:description", | ||||
82 | "dcterms:issued", | ||||
83 | "dcterms:language", | ||||
84 | "dcterms:identifier", | ||||
85 | "dcat:theme", | ||||
86 | "dcterms:type", | ||||
87 | "dcat:keyword", | ||||
88 | "dcat:landingPage", | ||||
89 | "dcterms:hasVersion", | ||||
90 | "dcterms:format", | ||||
91 | "mls:task", | ||||
92 | "datacite:isDescribedBy" | ||||
93 | ], | ||||
94 | "description": "The json representation of the dataset with its | ||||
95 | distributions based on DCAT.", | ||||
96 | "format": "JSON", | ||||
97 | "hash": "", | ||||
98 | "id": "bfca57a4-6909-47a8-88c7-a5525ded30b4", | ||||
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103 | "name": "Original Metadata", | ||||
104 | "package_id": "54add352-8362-4f4c-9811-b92a99879f07", | ||||
105 | "position": 0, | ||||
106 | "resource_type": null, | ||||
107 | "size": 963, | ||||
108 | "state": "active", | ||||
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73 | "services_used_list": "", | 114 | "services_used_list": "", | ||
74 | "state": "active", | 115 | "state": "active", | ||
75 | "tags": [ | 116 | "tags": [ | ||
76 | { | 117 | { | ||
77 | "display_name": "CLEVRER", | 118 | "display_name": "CLEVRER", | ||
78 | "id": "e75f19e0-2373-4309-a671-94070af05c51", | 119 | "id": "e75f19e0-2373-4309-a671-94070af05c51", | ||
79 | "name": "CLEVRER", | 120 | "name": "CLEVRER", | ||
80 | "state": "active", | 121 | "state": "active", | ||
81 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
82 | }, | 123 | }, | ||
83 | { | 124 | { | ||
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87 | "state": "active", | 128 | "state": "active", | ||
88 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
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90 | { | 131 | { | ||
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93 | "name": "Synthetic Scene", | 134 | "name": "Synthetic Scene", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
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101 | "state": "active", | 142 | "state": "active", | ||
102 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
103 | }, | 144 | }, | ||
104 | { | 145 | { | ||
105 | "display_name": "question answering", | 146 | "display_name": "question answering", | ||
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108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | }, | 151 | }, | ||
111 | { | 152 | { | ||
112 | "display_name": "video reasoning", | 153 | "display_name": "video reasoning", | ||
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115 | "state": "active", | 156 | "state": "active", | ||
116 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
117 | } | 158 | } | ||
118 | ], | 159 | ], | ||
119 | "title": "CLEVRER", | 160 | "title": "CLEVRER", | ||
120 | "type": "dataset", | 161 | "type": "dataset", | ||
121 | "version": "" | 162 | "version": "" | ||
122 | } | 163 | } |