Changes
On December 2, 2024 at 10:05:45 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Movie dataset -
Changed value of field
doi_date_published
to2024-12-02
in Movie dataset -
Added resource Original Metadata to Movie dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Kaisheng Gao", | 3 | "author": "Kaisheng Gao", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1907.05743" | 6 | "https://doi.org/10.48550/arXiv.1907.05743" | ||
7 | ], | 7 | ], | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "https://doi.org/10.1145/3397271.3401100", | 9 | "defined_in": "https://doi.org/10.1145/3397271.3401100", | ||
10 | "doi": "10.57702/5hyjshzh", | 10 | "doi": "10.57702/5hyjshzh", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Jing Zhang", | 17 | "extra_author": "Jing Zhang", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Cangqi Zhou", | 21 | "extra_author": "Cangqi Zhou", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Fairness", | 28 | "display_name": "Fairness", | ||
29 | "id": "6abc9c20-ddf4-4463-bc26-c16c6dd9f915", | 29 | "id": "6abc9c20-ddf4-4463-bc26-c16c6dd9f915", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "fairness", | 31 | "name": "fairness", | ||
32 | "title": "Fairness" | 32 | "title": "Fairness" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "Movie Recommendation", | 36 | "display_name": "Movie Recommendation", | ||
37 | "id": "407fa45d-9d3d-4585-970d-f7a5983f4d80", | 37 | "id": "407fa45d-9d3d-4585-970d-f7a5983f4d80", | ||
38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "movie-recommendation", | 39 | "name": "movie-recommendation", | ||
40 | "title": "Movie Recommendation" | 40 | "title": "Movie Recommendation" | ||
41 | } | 41 | } | ||
42 | ], | 42 | ], | ||
43 | "id": "fcfff8e7-fe17-4097-8bb6-7f1eb540d786", | 43 | "id": "fcfff8e7-fe17-4097-8bb6-7f1eb540d786", | ||
44 | "isopen": false, | 44 | "isopen": false, | ||
45 | "landing_page": "Not specified", | 45 | "landing_page": "Not specified", | ||
46 | "license_title": null, | 46 | "license_title": null, | ||
47 | "link_orkg": "", | 47 | "link_orkg": "", | ||
48 | "metadata_created": "2024-12-02T22:05:43.537429", | 48 | "metadata_created": "2024-12-02T22:05:43.537429", | ||
n | 49 | "metadata_modified": "2024-12-02T22:05:43.537436", | n | 49 | "metadata_modified": "2024-12-02T22:05:44.152502", |
50 | "name": "movie-dataset", | 50 | "name": "movie-dataset", | ||
51 | "notes": "The Movie dataset is a graph dataset constructed from the | 51 | "notes": "The Movie dataset is a graph dataset constructed from the | ||
52 | Movielens-2k dataset. The Movielens-2k dataset contains movies | 52 | Movielens-2k dataset. The Movielens-2k dataset contains movies | ||
53 | information such as actors, genres, and tags information. The feature | 53 | information such as actors, genres, and tags information. The feature | ||
54 | of each movie is the tags information. The task is to predict the | 54 | of each movie is the tags information. The task is to predict the | ||
55 | genres of the movies.", | 55 | genres of the movies.", | ||
n | 56 | "num_resources": 0, | n | 56 | "num_resources": 1, |
57 | "num_tags": 6, | 57 | "num_tags": 6, | ||
58 | "organization": { | 58 | "organization": { | ||
59 | "approval_status": "approved", | 59 | "approval_status": "approved", | ||
60 | "created": "2024-11-25T12:11:38.292601", | 60 | "created": "2024-11-25T12:11:38.292601", | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 62 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
63 | "image_url": "", | 63 | "image_url": "", | ||
64 | "is_organization": true, | 64 | "is_organization": true, | ||
65 | "name": "no-organization", | 65 | "name": "no-organization", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "No Organization", | 67 | "title": "No Organization", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
69 | }, | 69 | }, | ||
70 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 70 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "relationships_as_object": [], | 72 | "relationships_as_object": [], | ||
73 | "relationships_as_subject": [], | 73 | "relationships_as_subject": [], | ||
t | 74 | "resources": [], | t | 74 | "resources": [ |
75 | { | ||||
76 | "cache_last_updated": null, | ||||
77 | "cache_url": null, | ||||
78 | "created": "2024-12-02T22:29:38", | ||||
79 | "data": [ | ||||
80 | "dcterms:title", | ||||
81 | "dcterms:accessRights", | ||||
82 | "dcterms:creator", | ||||
83 | "dcterms:description", | ||||
84 | "dcterms:issued", | ||||
85 | "dcterms:language", | ||||
86 | "dcterms:identifier", | ||||
87 | "dcat:theme", | ||||
88 | "dcterms:type", | ||||
89 | "dcat:keyword", | ||||
90 | "dcat:landingPage", | ||||
91 | "dcterms:hasVersion", | ||||
92 | "dcterms:format", | ||||
93 | "mls:task", | ||||
94 | "datacite:isDescribedBy" | ||||
95 | ], | ||||
96 | "description": "The json representation of the dataset with its | ||||
97 | distributions based on DCAT.", | ||||
98 | "format": "JSON", | ||||
99 | "hash": "", | ||||
100 | "id": "87ecf02c-cc5f-4819-86a6-26c7cfb3f35a", | ||||
101 | "last_modified": "2024-12-02T22:05:44.144635", | ||||
102 | "metadata_modified": "2024-12-02T22:05:44.155367", | ||||
103 | "mimetype": "application/json", | ||||
104 | "mimetype_inner": null, | ||||
105 | "name": "Original Metadata", | ||||
106 | "package_id": "fcfff8e7-fe17-4097-8bb6-7f1eb540d786", | ||||
107 | "position": 0, | ||||
108 | "resource_type": null, | ||||
109 | "size": 1016, | ||||
110 | "state": "active", | ||||
111 | "url": | ||||
112 | resource/87ecf02c-cc5f-4819-86a6-26c7cfb3f35a/download/metadata.json", | ||||
113 | "url_type": "upload" | ||||
114 | } | ||||
115 | ], | ||||
75 | "services_used_list": "", | 116 | "services_used_list": "", | ||
76 | "state": "active", | 117 | "state": "active", | ||
77 | "tags": [ | 118 | "tags": [ | ||
78 | { | 119 | { | ||
79 | "display_name": "Genre Prediction", | 120 | "display_name": "Genre Prediction", | ||
80 | "id": "b7fceb3d-f890-4ba6-b5ab-ef1ab8c17772", | 121 | "id": "b7fceb3d-f890-4ba6-b5ab-ef1ab8c17772", | ||
81 | "name": "Genre Prediction", | 122 | "name": "Genre Prediction", | ||
82 | "state": "active", | 123 | "state": "active", | ||
83 | "vocabulary_id": null | 124 | "vocabulary_id": null | ||
84 | }, | 125 | }, | ||
85 | { | 126 | { | ||
86 | "display_name": "Movie Recommendation", | 127 | "display_name": "Movie Recommendation", | ||
87 | "id": "9510e9e0-1dce-49a6-ba20-2178cd958760", | 128 | "id": "9510e9e0-1dce-49a6-ba20-2178cd958760", | ||
88 | "name": "Movie Recommendation", | 129 | "name": "Movie Recommendation", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
91 | }, | 132 | }, | ||
92 | { | 133 | { | ||
93 | "display_name": "bias", | 134 | "display_name": "bias", | ||
94 | "id": "a7fdaa22-3267-465c-b134-99638bdd72d4", | 135 | "id": "a7fdaa22-3267-465c-b134-99638bdd72d4", | ||
95 | "name": "bias", | 136 | "name": "bias", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | }, | 139 | }, | ||
99 | { | 140 | { | ||
100 | "display_name": "fairness", | 141 | "display_name": "fairness", | ||
101 | "id": "efd96587-4c0f-439f-8b75-152811b57aa9", | 142 | "id": "efd96587-4c0f-439f-8b75-152811b57aa9", | ||
102 | "name": "fairness", | 143 | "name": "fairness", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
107 | "display_name": "movie", | 148 | "display_name": "movie", | ||
108 | "id": "756478e8-236c-4653-a061-5b2b80e6ae26", | 149 | "id": "756478e8-236c-4653-a061-5b2b80e6ae26", | ||
109 | "name": "movie", | 150 | "name": "movie", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | }, | 153 | }, | ||
113 | { | 154 | { | ||
114 | "display_name": "recommendation", | 155 | "display_name": "recommendation", | ||
115 | "id": "09edfd27-5979-401a-b96f-5ad5ade51820", | 156 | "id": "09edfd27-5979-401a-b96f-5ad5ade51820", | ||
116 | "name": "recommendation", | 157 | "name": "recommendation", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | } | 160 | } | ||
120 | ], | 161 | ], | ||
121 | "title": "Movie dataset", | 162 | "title": "Movie dataset", | ||
122 | "type": "dataset", | 163 | "type": "dataset", | ||
123 | "version": "" | 164 | "version": "" | ||
124 | } | 165 | } |