Changes
On December 16, 2024 at 8:18:20 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SCAN -
Changed value of field
doi_date_published
to2024-12-16
in SCAN -
Added resource Original Metadata to SCAN
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Nitesh Kumar", | 3 | "author": "Nitesh Kumar", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2310.12379", | 6 | "https://doi.org/10.48550/arXiv.2310.12379", | ||
7 | "https://doi.org/10.48550/arXiv.2010.03706", | 7 | "https://doi.org/10.48550/arXiv.2010.03706", | ||
8 | "https://doi.org/10.48550/arXiv.2007.08970" | 8 | "https://doi.org/10.48550/arXiv.2007.08970" | ||
9 | ], | 9 | ], | ||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
11 | "defined_in": "https://doi.org/10.48550/arXiv.2205.01538", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2205.01538", | ||
12 | "doi": "10.57702/272772ic", | 12 | "doi": "10.57702/272772ic", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-16", |
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
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16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "Steven Schockaert", | 19 | "extra_author": "Steven Schockaert", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [ | 23 | "groups": [ | ||
24 | { | 24 | { | ||
25 | "description": "", | 25 | "description": "", | ||
26 | "display_name": "Analogy Question Answering", | 26 | "display_name": "Analogy Question Answering", | ||
27 | "id": "be814448-4c8b-4949-b44f-7841194e3736", | 27 | "id": "be814448-4c8b-4949-b44f-7841194e3736", | ||
28 | "image_display_url": "", | 28 | "image_display_url": "", | ||
29 | "name": "analogy-question-answering", | 29 | "name": "analogy-question-answering", | ||
30 | "title": "Analogy Question Answering" | 30 | "title": "Analogy Question Answering" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Instruction Following", | 34 | "display_name": "Instruction Following", | ||
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36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "instruction-following", | 37 | "name": "instruction-following", | ||
38 | "title": "Instruction Following" | 38 | "title": "Instruction Following" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Natural Language Processing", | 42 | "display_name": "Natural Language Processing", | ||
43 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 43 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "natural-language-processing", | 45 | "name": "natural-language-processing", | ||
46 | "title": "Natural Language Processing" | 46 | "title": "Natural Language Processing" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Semantic Parsing", | 50 | "display_name": "Semantic Parsing", | ||
51 | "id": "5b90c426-6f23-435b-90fc-241a1a9b0c9e", | 51 | "id": "5b90c426-6f23-435b-90fc-241a1a9b0c9e", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "semantic-parsing", | 53 | "name": "semantic-parsing", | ||
54 | "title": "Semantic Parsing" | 54 | "title": "Semantic Parsing" | ||
55 | } | 55 | } | ||
56 | ], | 56 | ], | ||
57 | "id": "ecccb411-b965-4e35-b2c2-0adcc6c58e81", | 57 | "id": "ecccb411-b965-4e35-b2c2-0adcc6c58e81", | ||
58 | "isopen": false, | 58 | "isopen": false, | ||
59 | "landing_page": "https://huggingface.co/datasets/relbert/", | 59 | "landing_page": "https://huggingface.co/datasets/relbert/", | ||
60 | "license_title": null, | 60 | "license_title": null, | ||
61 | "link_orkg": "", | 61 | "link_orkg": "", | ||
62 | "metadata_created": "2024-12-16T20:18:18.784483", | 62 | "metadata_created": "2024-12-16T20:18:18.784483", | ||
n | 63 | "metadata_modified": "2024-12-16T20:18:18.784489", | n | 63 | "metadata_modified": "2024-12-16T20:18:19.187583", |
64 | "name": "scan", | 64 | "name": "scan", | ||
65 | "notes": "SCAN is a semantic parsing dataset of natural language | 65 | "notes": "SCAN is a semantic parsing dataset of natural language | ||
66 | navigation commands that are mapped to corresponding action | 66 | navigation commands that are mapped to corresponding action | ||
67 | sequences.", | 67 | sequences.", | ||
n | 68 | "num_resources": 0, | n | 68 | "num_resources": 1, |
69 | "num_tags": 11, | 69 | "num_tags": 11, | ||
70 | "organization": { | 70 | "organization": { | ||
71 | "approval_status": "approved", | 71 | "approval_status": "approved", | ||
72 | "created": "2024-11-25T12:11:38.292601", | 72 | "created": "2024-11-25T12:11:38.292601", | ||
73 | "description": "", | 73 | "description": "", | ||
74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
75 | "image_url": "", | 75 | "image_url": "", | ||
76 | "is_organization": true, | 76 | "is_organization": true, | ||
77 | "name": "no-organization", | 77 | "name": "no-organization", | ||
78 | "state": "active", | 78 | "state": "active", | ||
79 | "title": "No Organization", | 79 | "title": "No Organization", | ||
80 | "type": "organization" | 80 | "type": "organization" | ||
81 | }, | 81 | }, | ||
82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
83 | "private": false, | 83 | "private": false, | ||
84 | "relationships_as_object": [], | 84 | "relationships_as_object": [], | ||
85 | "relationships_as_subject": [], | 85 | "relationships_as_subject": [], | ||
t | 86 | "resources": [], | t | 86 | "resources": [ |
87 | { | ||||
88 | "cache_last_updated": null, | ||||
89 | "cache_url": null, | ||||
90 | "created": "2024-12-16T18:25:45", | ||||
91 | "data": [ | ||||
92 | "dcterms:title", | ||||
93 | "dcterms:accessRights", | ||||
94 | "dcterms:creator", | ||||
95 | "dcterms:description", | ||||
96 | "dcterms:issued", | ||||
97 | "dcterms:language", | ||||
98 | "dcterms:identifier", | ||||
99 | "dcat:theme", | ||||
100 | "dcterms:type", | ||||
101 | "dcat:keyword", | ||||
102 | "dcat:landingPage", | ||||
103 | "dcterms:hasVersion", | ||||
104 | "dcterms:format", | ||||
105 | "mls:task", | ||||
106 | "datacite:isDescribedBy" | ||||
107 | ], | ||||
108 | "description": "The json representation of the dataset with its | ||||
109 | distributions based on DCAT.", | ||||
110 | "format": "JSON", | ||||
111 | "hash": "", | ||||
112 | "id": "68dcdb25-65dd-4a3f-91b2-9c249c409dd1", | ||||
113 | "last_modified": "2024-12-16T20:18:19.179562", | ||||
114 | "metadata_modified": "2024-12-16T20:18:19.190430", | ||||
115 | "mimetype": "application/json", | ||||
116 | "mimetype_inner": null, | ||||
117 | "name": "Original Metadata", | ||||
118 | "package_id": "ecccb411-b965-4e35-b2c2-0adcc6c58e81", | ||||
119 | "position": 0, | ||||
120 | "resource_type": null, | ||||
121 | "size": 1192, | ||||
122 | "state": "active", | ||||
123 | "url": | ||||
124 | resource/68dcdb25-65dd-4a3f-91b2-9c249c409dd1/download/metadata.json", | ||||
125 | "url_type": "upload" | ||||
126 | } | ||||
127 | ], | ||||
87 | "services_used_list": "", | 128 | "services_used_list": "", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "tags": [ | 130 | "tags": [ | ||
90 | { | 131 | { | ||
91 | "display_name": "Action Sequences", | 132 | "display_name": "Action Sequences", | ||
92 | "id": "f0d327d1-3afb-4c1f-9ac4-fb2d69c08112", | 133 | "id": "f0d327d1-3afb-4c1f-9ac4-fb2d69c08112", | ||
93 | "name": "Action Sequences", | 134 | "name": "Action Sequences", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
96 | }, | 137 | }, | ||
97 | { | 138 | { | ||
98 | "display_name": "Few-shot learning", | 139 | "display_name": "Few-shot learning", | ||
99 | "id": "4d8a6734-1bd9-4d53-ae71-971497bdfd76", | 140 | "id": "4d8a6734-1bd9-4d53-ae71-971497bdfd76", | ||
100 | "name": "Few-shot learning", | 141 | "name": "Few-shot learning", | ||
101 | "state": "active", | 142 | "state": "active", | ||
102 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
103 | }, | 144 | }, | ||
104 | { | 145 | { | ||
105 | "display_name": "Instruction following", | 146 | "display_name": "Instruction following", | ||
106 | "id": "6ed0f06b-5797-4b5f-8fcc-bac749d9a3fb", | 147 | "id": "6ed0f06b-5797-4b5f-8fcc-bac749d9a3fb", | ||
107 | "name": "Instruction following", | 148 | "name": "Instruction following", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | }, | 151 | }, | ||
111 | { | 152 | { | ||
112 | "display_name": "Morphological analysis", | 153 | "display_name": "Morphological analysis", | ||
113 | "id": "73554a94-968d-4832-ad75-360381e002c0", | 154 | "id": "73554a94-968d-4832-ad75-360381e002c0", | ||
114 | "name": "Morphological analysis", | 155 | "name": "Morphological analysis", | ||
115 | "state": "active", | 156 | "state": "active", | ||
116 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
117 | }, | 158 | }, | ||
118 | { | 159 | { | ||
119 | "display_name": "Navigation Commands", | 160 | "display_name": "Navigation Commands", | ||
120 | "id": "434e70d5-cfa7-489a-8660-c98ef3a83790", | 161 | "id": "434e70d5-cfa7-489a-8660-c98ef3a83790", | ||
121 | "name": "Navigation Commands", | 162 | "name": "Navigation Commands", | ||
122 | "state": "active", | 163 | "state": "active", | ||
123 | "vocabulary_id": null | 164 | "vocabulary_id": null | ||
124 | }, | 165 | }, | ||
125 | { | 166 | { | ||
126 | "display_name": "Neural networks", | 167 | "display_name": "Neural networks", | ||
127 | "id": "4a8b2d16-ca60-4ba7-88b4-58100466d22f", | 168 | "id": "4a8b2d16-ca60-4ba7-88b4-58100466d22f", | ||
128 | "name": "Neural networks", | 169 | "name": "Neural networks", | ||
129 | "state": "active", | 170 | "state": "active", | ||
130 | "vocabulary_id": null | 171 | "vocabulary_id": null | ||
131 | }, | 172 | }, | ||
132 | { | 173 | { | ||
133 | "display_name": "Semantic Parsing", | 174 | "display_name": "Semantic Parsing", | ||
134 | "id": "e1c2bfd6-706e-4ba9-b2c9-56cb83169fc2", | 175 | "id": "e1c2bfd6-706e-4ba9-b2c9-56cb83169fc2", | ||
135 | "name": "Semantic Parsing", | 176 | "name": "Semantic Parsing", | ||
136 | "state": "active", | 177 | "state": "active", | ||
137 | "vocabulary_id": null | 178 | "vocabulary_id": null | ||
138 | }, | 179 | }, | ||
139 | { | 180 | { | ||
140 | "display_name": "analogy question answering", | 181 | "display_name": "analogy question answering", | ||
141 | "id": "b7e96748-e4cd-4569-a003-516ab4ec55ff", | 182 | "id": "b7e96748-e4cd-4569-a003-516ab4ec55ff", | ||
142 | "name": "analogy question answering", | 183 | "name": "analogy question answering", | ||
143 | "state": "active", | 184 | "state": "active", | ||
144 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
145 | }, | 186 | }, | ||
146 | { | 187 | { | ||
147 | "display_name": "semantic parsing", | 188 | "display_name": "semantic parsing", | ||
148 | "id": "36742055-8a47-4a86-87ef-b0d96f0f23fc", | 189 | "id": "36742055-8a47-4a86-87ef-b0d96f0f23fc", | ||
149 | "name": "semantic parsing", | 190 | "name": "semantic parsing", | ||
150 | "state": "active", | 191 | "state": "active", | ||
151 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
152 | }, | 193 | }, | ||
153 | { | 194 | { | ||
154 | "display_name": "sequence-to-sequence", | 195 | "display_name": "sequence-to-sequence", | ||
155 | "id": "1a1832b5-d097-45b8-91a6-d81b450dfc3e", | 196 | "id": "1a1832b5-d097-45b8-91a6-d81b450dfc3e", | ||
156 | "name": "sequence-to-sequence", | 197 | "name": "sequence-to-sequence", | ||
157 | "state": "active", | 198 | "state": "active", | ||
158 | "vocabulary_id": null | 199 | "vocabulary_id": null | ||
159 | }, | 200 | }, | ||
160 | { | 201 | { | ||
161 | "display_name": "word analogy", | 202 | "display_name": "word analogy", | ||
162 | "id": "cd20cd36-f770-4009-a629-26e7d9cd24bf", | 203 | "id": "cd20cd36-f770-4009-a629-26e7d9cd24bf", | ||
163 | "name": "word analogy", | 204 | "name": "word analogy", | ||
164 | "state": "active", | 205 | "state": "active", | ||
165 | "vocabulary_id": null | 206 | "vocabulary_id": null | ||
166 | } | 207 | } | ||
167 | ], | 208 | ], | ||
168 | "title": "SCAN", | 209 | "title": "SCAN", | ||
169 | "type": "dataset", | 210 | "type": "dataset", | ||
170 | "version": "" | 211 | "version": "" | ||
171 | } | 212 | } |