Changes
On December 2, 2024 at 10:22:23 PM UTC, admin:
-
Added resource Original Metadata to CSL
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Pan Xie", | 3 | "author": "Pan Xie", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.1145/3394171.3413931" | 6 | "https://doi.org/10.1145/3394171.3413931" | ||
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/10.48550/arXiv.2308.08756", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2308.08756", | ||
10 | "doi": "10.57702/mwfe8kyx", | 10 | "doi": "10.57702/mwfe8kyx", | ||
11 | "doi_date_published": "2024-11-25", | 11 | "doi_date_published": "2024-11-25", | ||
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
13 | "doi_status": true, | 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": "Mengyi Zhao", | 17 | "extra_author": "Mengyi Zhao", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Xiaohui Hu", | 21 | "extra_author": "Xiaohui Hu", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Multimodal Learning", | 28 | "display_name": "Multimodal Learning", | ||
29 | "id": "a88cb918-103d-4226-a87d-9d9103c1f839", | 29 | "id": "a88cb918-103d-4226-a87d-9d9103c1f839", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "multimodal-learning", | 31 | "name": "multimodal-learning", | ||
32 | "title": "Multimodal Learning" | 32 | "title": "Multimodal Learning" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "Natural Language Processing", | 36 | "display_name": "Natural Language Processing", | ||
37 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 37 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "natural-language-processing", | 39 | "name": "natural-language-processing", | ||
40 | "title": "Natural Language Processing" | 40 | "title": "Natural Language Processing" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Sign Language Recognition", | 44 | "display_name": "Sign Language Recognition", | ||
45 | "id": "2a96bb35-05db-4faf-aa71-dc5c28e1c71c", | 45 | "id": "2a96bb35-05db-4faf-aa71-dc5c28e1c71c", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "sign-language-recognition", | 47 | "name": "sign-language-recognition", | ||
48 | "title": "Sign Language Recognition" | 48 | "title": "Sign Language Recognition" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Text Mining", | 52 | "display_name": "Text Mining", | ||
53 | "id": "65e4271d-9bb0-43f9-9d55-a5b3ad219dc7", | 53 | "id": "65e4271d-9bb0-43f9-9d55-a5b3ad219dc7", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "text-mining", | 55 | "name": "text-mining", | ||
56 | "title": "Text Mining" | 56 | "title": "Text Mining" | ||
57 | } | 57 | } | ||
58 | ], | 58 | ], | ||
59 | "id": "77194654-06ce-4681-b349-1fa00df1d15a", | 59 | "id": "77194654-06ce-4681-b349-1fa00df1d15a", | ||
60 | "isopen": false, | 60 | "isopen": false, | ||
61 | "landing_page": | 61 | "landing_page": | ||
62 | "https://gitee.com/jaydencheng/cooccurrence-inverted-index", | 62 | "https://gitee.com/jaydencheng/cooccurrence-inverted-index", | ||
63 | "license_title": null, | 63 | "license_title": null, | ||
64 | "link_orkg": "", | 64 | "link_orkg": "", | ||
65 | "metadata_created": "2024-11-25T14:45:16.866066", | 65 | "metadata_created": "2024-11-25T14:45:16.866066", | ||
n | 66 | "metadata_modified": "2024-12-02T22:22:21.156673", | n | 66 | "metadata_modified": "2024-12-02T22:22:22.264638", |
67 | "name": "csl", | 67 | "name": "csl", | ||
68 | "notes": "The CSL dataset is a large-scale Chinese scientific | 68 | "notes": "The CSL dataset is a large-scale Chinese scientific | ||
69 | literature dataset obtained from the \"Qianyan\" open-source NLP | 69 | literature dataset obtained from the \"Qianyan\" open-source NLP | ||
70 | platform. It consists of 396,209 Chinese core journal papers' | 70 | platform. It consists of 396,209 Chinese core journal papers' | ||
71 | metadata, including titles, abstracts, keywords, disciplines, and | 71 | metadata, including titles, abstracts, keywords, disciplines, and | ||
72 | categories.", | 72 | categories.", | ||
n | 73 | "num_resources": 0, | n | 73 | "num_resources": 1, |
74 | "num_tags": 9, | 74 | "num_tags": 9, | ||
75 | "organization": { | 75 | "organization": { | ||
76 | "approval_status": "approved", | 76 | "approval_status": "approved", | ||
77 | "created": "2024-11-25T12:11:38.292601", | 77 | "created": "2024-11-25T12:11:38.292601", | ||
78 | "description": "", | 78 | "description": "", | ||
79 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 79 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
80 | "image_url": "", | 80 | "image_url": "", | ||
81 | "is_organization": true, | 81 | "is_organization": true, | ||
82 | "name": "no-organization", | 82 | "name": "no-organization", | ||
83 | "state": "active", | 83 | "state": "active", | ||
84 | "title": "No Organization", | 84 | "title": "No Organization", | ||
85 | "type": "organization" | 85 | "type": "organization" | ||
86 | }, | 86 | }, | ||
87 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 87 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
88 | "private": false, | 88 | "private": false, | ||
89 | "relationships_as_object": [], | 89 | "relationships_as_object": [], | ||
90 | "relationships_as_subject": [], | 90 | "relationships_as_subject": [], | ||
t | 91 | "resources": [], | t | 91 | "resources": [ |
92 | { | ||||
93 | "cache_last_updated": null, | ||||
94 | "cache_url": null, | ||||
95 | "created": "2024-12-02T22:29:38", | ||||
96 | "data": [ | ||||
97 | "dcterms:title", | ||||
98 | "dcterms:accessRights", | ||||
99 | "dcterms:creator", | ||||
100 | "dcterms:description", | ||||
101 | "dcterms:issued", | ||||
102 | "dcterms:language", | ||||
103 | "dcterms:identifier", | ||||
104 | "dcat:theme", | ||||
105 | "dcterms:type", | ||||
106 | "dcat:keyword", | ||||
107 | "dcat:landingPage", | ||||
108 | "dcterms:hasVersion", | ||||
109 | "dcterms:format", | ||||
110 | "mls:task", | ||||
111 | "datacite:isDescribedBy" | ||||
112 | ], | ||||
113 | "description": "The json representation of the dataset with its | ||||
114 | distributions based on DCAT.", | ||||
115 | "format": "JSON", | ||||
116 | "hash": "", | ||||
117 | "id": "4612fd5d-65ad-404d-abf9-1166f30d4706", | ||||
118 | "last_modified": "2024-12-02T22:22:22.256678", | ||||
119 | "metadata_modified": "2024-12-02T22:22:22.267653", | ||||
120 | "mimetype": "application/json", | ||||
121 | "mimetype_inner": null, | ||||
122 | "name": "Original Metadata", | ||||
123 | "package_id": "77194654-06ce-4681-b349-1fa00df1d15a", | ||||
124 | "position": 0, | ||||
125 | "resource_type": null, | ||||
126 | "size": 1142, | ||||
127 | "state": "active", | ||||
128 | "url": | ||||
129 | resource/4612fd5d-65ad-404d-abf9-1166f30d4706/download/metadata.json", | ||||
130 | "url_type": "upload" | ||||
131 | } | ||||
132 | ], | ||||
92 | "services_used_list": "", | 133 | "services_used_list": "", | ||
93 | "state": "active", | 134 | "state": "active", | ||
94 | "tags": [ | 135 | "tags": [ | ||
95 | { | 136 | { | ||
96 | "display_name": "Chinese Sign Language", | 137 | "display_name": "Chinese Sign Language", | ||
97 | "id": "e0f21dae-1c34-4a18-9a2c-86624971e485", | 138 | "id": "e0f21dae-1c34-4a18-9a2c-86624971e485", | ||
98 | "name": "Chinese Sign Language", | 139 | "name": "Chinese Sign Language", | ||
99 | "state": "active", | 140 | "state": "active", | ||
100 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
101 | }, | 142 | }, | ||
102 | { | 143 | { | ||
103 | "display_name": "Chinese scientific literature", | 144 | "display_name": "Chinese scientific literature", | ||
104 | "id": "bc7070d7-9a9c-4219-b4e6-25061922e249", | 145 | "id": "bc7070d7-9a9c-4219-b4e6-25061922e249", | ||
105 | "name": "Chinese scientific literature", | 146 | "name": "Chinese scientific literature", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
110 | "display_name": "Multimodal Learning", | 151 | "display_name": "Multimodal Learning", | ||
111 | "id": "41329983-d90e-4560-a97d-7fa2ba0a1f92", | 152 | "id": "41329983-d90e-4560-a97d-7fa2ba0a1f92", | ||
112 | "name": "Multimodal Learning", | 153 | "name": "Multimodal Learning", | ||
113 | "state": "active", | 154 | "state": "active", | ||
114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
115 | }, | 156 | }, | ||
116 | { | 157 | { | ||
117 | "display_name": "SLR", | 158 | "display_name": "SLR", | ||
118 | "id": "24ea0cac-00f4-4b9c-9022-e3b09342c3cb", | 159 | "id": "24ea0cac-00f4-4b9c-9022-e3b09342c3cb", | ||
119 | "name": "SLR", | 160 | "name": "SLR", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
122 | }, | 163 | }, | ||
123 | { | 164 | { | ||
124 | "display_name": "Sign Language", | 165 | "display_name": "Sign Language", | ||
125 | "id": "c3806c4f-011e-4f19-b3f1-62f2996d4c5e", | 166 | "id": "c3806c4f-011e-4f19-b3f1-62f2996d4c5e", | ||
126 | "name": "Sign Language", | 167 | "name": "Sign Language", | ||
127 | "state": "active", | 168 | "state": "active", | ||
128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
129 | }, | 170 | }, | ||
130 | { | 171 | { | ||
131 | "display_name": "Sign Language Recognition", | 172 | "display_name": "Sign Language Recognition", | ||
132 | "id": "c4032be3-46b7-47f2-ba91-01014facb587", | 173 | "id": "c4032be3-46b7-47f2-ba91-01014facb587", | ||
133 | "name": "Sign Language Recognition", | 174 | "name": "Sign Language Recognition", | ||
134 | "state": "active", | 175 | "state": "active", | ||
135 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
136 | }, | 177 | }, | ||
137 | { | 178 | { | ||
138 | "display_name": "Video-Text Pair", | 179 | "display_name": "Video-Text Pair", | ||
139 | "id": "d38eb3f6-3897-4103-b4e4-af669f2b1af4", | 180 | "id": "d38eb3f6-3897-4103-b4e4-af669f2b1af4", | ||
140 | "name": "Video-Text Pair", | 181 | "name": "Video-Text Pair", | ||
141 | "state": "active", | 182 | "state": "active", | ||
142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
143 | }, | 184 | }, | ||
144 | { | 185 | { | ||
145 | "display_name": "natural language processing", | 186 | "display_name": "natural language processing", | ||
146 | "id": "8af9c93a-1d87-41e0-83d9-f5d01a2bbd0c", | 187 | "id": "8af9c93a-1d87-41e0-83d9-f5d01a2bbd0c", | ||
147 | "name": "natural language processing", | 188 | "name": "natural language processing", | ||
148 | "state": "active", | 189 | "state": "active", | ||
149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
150 | }, | 191 | }, | ||
151 | { | 192 | { | ||
152 | "display_name": "text mining", | 193 | "display_name": "text mining", | ||
153 | "id": "bd288fba-3902-46dd-8cde-ee0136c722a4", | 194 | "id": "bd288fba-3902-46dd-8cde-ee0136c722a4", | ||
154 | "name": "text mining", | 195 | "name": "text mining", | ||
155 | "state": "active", | 196 | "state": "active", | ||
156 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
157 | } | 198 | } | ||
158 | ], | 199 | ], | ||
159 | "title": "CSL", | 200 | "title": "CSL", | ||
160 | "type": "dataset", | 201 | "type": "dataset", | ||
161 | "version": "" | 202 | "version": "" | ||
162 | } | 203 | } |