Changes
On December 2, 2024 at 5:39:29 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Moving Dot Dataset -
Changed value of field
doi_date_published
to2024-12-02
in Moving Dot Dataset -
Added resource Original Metadata to Moving Dot Dataset
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Vlad Sobal", | 3 | "author": "Vlad Sobal", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Jyothir S V", | 15 | "extra_author": "Jyothir S V", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Kyunghyun Cho", | 19 | "extra_author": "Kyunghyun Cho", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Yann LeCun", | 23 | "extra_author": "Yann LeCun", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Siddhartha Jalagam", | 27 | "extra_author": "Siddhartha Jalagam", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Nicolas Carion", | 31 | "extra_author": "Nicolas Carion", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
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49 | "name": "video-object-detection", | 49 | "name": "video-object-detection", | ||
50 | "title": "Video Object Detection" | 50 | "title": "Video Object Detection" | ||
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53 | "id": "d9c91050-b127-4617-bce3-824dd8a02381", | 53 | "id": "d9c91050-b127-4617-bce3-824dd8a02381", | ||
54 | "isopen": false, | 54 | "isopen": false, | ||
55 | "landing_page": "https://github.com/vladisai/JEPA_SSL_NeurIPS_2022", | 55 | "landing_page": "https://github.com/vladisai/JEPA_SSL_NeurIPS_2022", | ||
56 | "license_title": null, | 56 | "license_title": null, | ||
57 | "link_orkg": "", | 57 | "link_orkg": "", | ||
58 | "metadata_created": "2024-12-02T17:39:27.643558", | 58 | "metadata_created": "2024-12-02T17:39:27.643558", | ||
n | 59 | "metadata_modified": "2024-12-02T17:39:27.643563", | n | 59 | "metadata_modified": "2024-12-02T17:39:28.122705", |
60 | "name": "moving-dot-dataset", | 60 | "name": "moving-dot-dataset", | ||
61 | "notes": "The dataset is a simple environment with a moving dot | 61 | "notes": "The dataset is a simple environment with a moving dot | ||
62 | inside a square. The dot cannot leave the square, and is always | 62 | inside a square. The dot cannot leave the square, and is always | ||
63 | visible on the screen. The goal is to learn a representation that | 63 | visible on the screen. The goal is to learn a representation that | ||
64 | captures the location of the dot.", | 64 | captures the location of the dot.", | ||
n | 65 | "num_resources": 0, | n | 65 | "num_resources": 1, |
66 | "num_tags": 4, | 66 | "num_tags": 4, | ||
67 | "organization": { | 67 | "organization": { | ||
68 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
69 | "created": "2024-11-25T12:11:38.292601", | 69 | "created": "2024-11-25T12:11:38.292601", | ||
70 | "description": "", | 70 | "description": "", | ||
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72 | "image_url": "", | 72 | "image_url": "", | ||
73 | "is_organization": true, | 73 | "is_organization": true, | ||
74 | "name": "no-organization", | 74 | "name": "no-organization", | ||
75 | "state": "active", | 75 | "state": "active", | ||
76 | "title": "No Organization", | 76 | "title": "No Organization", | ||
77 | "type": "organization" | 77 | "type": "organization" | ||
78 | }, | 78 | }, | ||
79 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 79 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
80 | "private": false, | 80 | "private": false, | ||
81 | "relationships_as_object": [], | 81 | "relationships_as_object": [], | ||
82 | "relationships_as_subject": [], | 82 | "relationships_as_subject": [], | ||
t | 83 | "resources": [], | t | 83 | "resources": [ |
84 | { | ||||
85 | "cache_last_updated": null, | ||||
86 | "cache_url": null, | ||||
87 | "created": "2024-12-02T18:38:42", | ||||
88 | "data": [ | ||||
89 | "dcterms:title", | ||||
90 | "dcterms:accessRights", | ||||
91 | "dcterms:creator", | ||||
92 | "dcterms:description", | ||||
93 | "dcterms:issued", | ||||
94 | "dcterms:language", | ||||
95 | "dcterms:identifier", | ||||
96 | "dcat:theme", | ||||
97 | "dcterms:type", | ||||
98 | "dcat:keyword", | ||||
99 | "dcat:landingPage", | ||||
100 | "dcterms:hasVersion", | ||||
101 | "dcterms:format", | ||||
102 | "mls:task" | ||||
103 | ], | ||||
104 | "description": "The json representation of the dataset with its | ||||
105 | distributions based on DCAT.", | ||||
106 | "format": "JSON", | ||||
107 | "hash": "", | ||||
108 | "id": "12219028-5634-47fc-9cce-32a86b939e48", | ||||
109 | "last_modified": "2024-12-02T17:39:28.114494", | ||||
110 | "metadata_modified": "2024-12-02T17:39:28.126135", | ||||
111 | "mimetype": "application/json", | ||||
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113 | "name": "Original Metadata", | ||||
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117 | "size": 892, | ||||
118 | "state": "active", | ||||
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120 | resource/12219028-5634-47fc-9cce-32a86b939e48/download/metadata.json", | ||||
121 | "url_type": "upload" | ||||
122 | } | ||||
123 | ], | ||||
84 | "services_used_list": "", | 124 | "services_used_list": "", | ||
85 | "state": "active", | 125 | "state": "active", | ||
86 | "tags": [ | 126 | "tags": [ | ||
87 | { | 127 | { | ||
88 | "display_name": "moving dot", | 128 | "display_name": "moving dot", | ||
89 | "id": "43a2929c-ec02-4e3d-b274-1227493259ea", | 129 | "id": "43a2929c-ec02-4e3d-b274-1227493259ea", | ||
90 | "name": "moving dot", | 130 | "name": "moving dot", | ||
91 | "state": "active", | 131 | "state": "active", | ||
92 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
93 | }, | 133 | }, | ||
94 | { | 134 | { | ||
95 | "display_name": "reinforcement learning", | 135 | "display_name": "reinforcement learning", | ||
96 | "id": "bc5598c0-bc87-456a-9505-1552490050f1", | 136 | "id": "bc5598c0-bc87-456a-9505-1552490050f1", | ||
97 | "name": "reinforcement learning", | 137 | "name": "reinforcement learning", | ||
98 | "state": "active", | 138 | "state": "active", | ||
99 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
100 | }, | 140 | }, | ||
101 | { | 141 | { | ||
102 | "display_name": "square", | 142 | "display_name": "square", | ||
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104 | "name": "square", | 144 | "name": "square", | ||
105 | "state": "active", | 145 | "state": "active", | ||
106 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
107 | }, | 147 | }, | ||
108 | { | 148 | { | ||
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111 | "name": "video object detection", | 151 | "name": "video object detection", | ||
112 | "state": "active", | 152 | "state": "active", | ||
113 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
114 | } | 154 | } | ||
115 | ], | 155 | ], | ||
116 | "title": "Moving Dot Dataset", | 156 | "title": "Moving Dot Dataset", | ||
117 | "type": "dataset", | 157 | "type": "dataset", | ||
118 | "version": "" | 158 | "version": "" | ||
119 | } | 159 | } |