Changes
On December 2, 2024 at 10:58:11 PM UTC, admin:
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Changed title to German Credit Dataset (previously German Credit dataset)
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Set author of German Credit Dataset to Geman, C. R. (previously Dheeru Dua)
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Updated description of German Credit Dataset from
The German Credit dataset is a well-known benchmark for credit scoring models. It contains information about individuals, including their age, gender, education, job, loan amount, salary, and savings.
toThe German credit dataset is a dataset used for classification tasks, and it contains sensitive attributes such as credit history.
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Removed the following tags from German Credit Dataset
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Added the following tags to German Credit Dataset
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2011.07495
in German Credit Dataset -
Changed value of field
landing_page
tohttp://archive.ics.uci.edu/ml/datasets/German+Credit+Data+Set
in German Credit Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Dobkin, L. S.', 'orcid': ''}, {'extra_author': 'Rosner, B.', 'orcid': ''}]
in German Credit Dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.1806.03281', 'https://doi.org/10.48550/arXiv.1609.02976', 'https://doi.org/10.48550/arXiv.2106.09992']
in German Credit Dataset -
Deleted resource Original Metadata from German Credit Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Dheeru Dua", | n | 3 | "author": "Geman, C. R.", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
n | 6 | "https://doi.org/10.1145/3511808.3557424", | n | ||
7 | "https://doi.org/10.1145/3375627.3375862", | ||||
8 | "https://doi.org/10.48550/arXiv.2303.11111", | 6 | "https://doi.org/10.48550/arXiv.1806.03281", | ||
7 | "https://doi.org/10.48550/arXiv.1609.02976", | ||||
9 | "https://doi.org/10.48550/arXiv.2010.04050", | 8 | "https://doi.org/10.48550/arXiv.2106.09992" | ||
10 | "https://doi.org/10.48550/arXiv.2301.12884", | ||||
11 | "https://doi.org/10.1007/978-3-031-44064-9_16" | ||||
12 | ], | 9 | ], | ||
13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2402.08522", | n | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2011.07495", |
15 | "doi": "10.57702/dicrn173", | 12 | "doi": "10.57702/dicrn173", | ||
16 | "doi_date_published": "2024-12-02", | 13 | "doi_date_published": "2024-12-02", | ||
17 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
18 | "doi_status": true, | 15 | "doi_status": true, | ||
19 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
20 | "extra_authors": [ | 17 | "extra_authors": [ | ||
21 | { | 18 | { | ||
n | n | 19 | "extra_author": "Dobkin, L. S.", | ||
20 | "orcid": "" | ||||
21 | }, | ||||
22 | { | ||||
22 | "extra_author": "Casey Graff", | 23 | "extra_author": "Rosner, B.", | ||
23 | "orcid": "" | 24 | "orcid": "" | ||
24 | } | 25 | } | ||
25 | ], | 26 | ], | ||
26 | "groups": [ | 27 | "groups": [ | ||
n | n | 28 | { | ||
29 | "description": "", | ||||
30 | "display_name": "Classification", | ||||
31 | "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5", | ||||
32 | "image_display_url": "", | ||||
33 | "name": "classification", | ||||
34 | "title": "Classification" | ||||
35 | }, | ||||
27 | { | 36 | { | ||
28 | "description": "", | 37 | "description": "", | ||
29 | "display_name": "Credit", | 38 | "display_name": "Credit", | ||
30 | "id": "92b10418-1123-45e6-ac92-66f58986f64b", | 39 | "id": "92b10418-1123-45e6-ac92-66f58986f64b", | ||
31 | "image_display_url": "", | 40 | "image_display_url": "", | ||
32 | "name": "credit", | 41 | "name": "credit", | ||
33 | "title": "Credit" | 42 | "title": "Credit" | ||
34 | }, | 43 | }, | ||
35 | { | 44 | { | ||
36 | "description": "", | 45 | "description": "", | ||
n | 37 | "display_name": "Credit Risk", | n | 46 | "display_name": "Credit Risk Analysis", |
38 | "id": "77249300-0b59-4ef0-8456-512434d69ff5", | 47 | "id": "ece21e58-fedd-46dd-aea2-294bc46509f1", | ||
39 | "image_display_url": "", | 48 | "image_display_url": "", | ||
n | 40 | "name": "credit-risk", | n | 49 | "name": "credit-risk-analysis", |
41 | "title": "Credit Risk" | 50 | "title": "Credit Risk Analysis" | ||
42 | }, | ||||
43 | { | ||||
44 | "description": "", | ||||
45 | "display_name": "Credit Scoring", | ||||
46 | "id": "31e9e2ab-b604-45f7-b885-f0c8688fb5de", | ||||
47 | "image_display_url": "", | ||||
48 | "name": "credit-scoring", | ||||
49 | "title": "Credit Scoring" | ||||
50 | }, | 51 | }, | ||
51 | { | 52 | { | ||
52 | "description": "", | 53 | "description": "", | ||
53 | "display_name": "Credit risk assessment", | 54 | "display_name": "Credit risk assessment", | ||
54 | "id": "5fc4cf30-2fe7-45fe-aa21-2e9d3cce7b4d", | 55 | "id": "5fc4cf30-2fe7-45fe-aa21-2e9d3cce7b4d", | ||
55 | "image_display_url": "", | 56 | "image_display_url": "", | ||
56 | "name": "credit-risk-assessment", | 57 | "name": "credit-risk-assessment", | ||
57 | "title": "Credit risk assessment" | 58 | "title": "Credit risk assessment" | ||
58 | }, | 59 | }, | ||
59 | { | 60 | { | ||
60 | "description": "", | 61 | "description": "", | ||
n | 61 | "display_name": "Creditworthiness", | n | 62 | "display_name": "Finance", |
62 | "id": "b77525d0-6f0a-4f4d-bf2a-e5c99dac1c14", | 63 | "id": "a8db517f-f099-4c0d-b90d-b1de1b1902e8", | ||
63 | "image_display_url": "", | 64 | "image_display_url": "", | ||
n | 64 | "name": "creditworthiness", | n | 65 | "name": "finance", |
65 | "title": "Creditworthiness" | 66 | "title": "Finance" | ||
66 | }, | ||||
67 | { | ||||
68 | "description": "", | ||||
69 | "display_name": "German Credit dataset", | ||||
70 | "id": "e28ceb27-7096-43b4-bfbb-47c31f8b82e0", | ||||
71 | "image_display_url": "", | ||||
72 | "name": "german-credit-dataset", | ||||
73 | "title": "German Credit dataset" | ||||
74 | }, | ||||
75 | { | ||||
76 | "description": "", | ||||
77 | "display_name": "Loan applications", | ||||
78 | "id": "58417254-0d9d-4709-ab5c-db577c8e25dd", | ||||
79 | "image_display_url": "", | ||||
80 | "name": "loan-applications", | ||||
81 | "title": "Loan applications" | ||||
82 | }, | ||||
83 | { | ||||
84 | "description": "", | ||||
85 | "display_name": "Machine Learning", | ||||
86 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||||
87 | "image_display_url": "", | ||||
88 | "name": "machine-learning", | ||||
89 | "title": "Machine Learning" | ||||
90 | } | 67 | } | ||
91 | ], | 68 | ], | ||
92 | "id": "277df0f8-0fe2-47d8-bdaf-91ab136ad472", | 69 | "id": "277df0f8-0fe2-47d8-bdaf-91ab136ad472", | ||
93 | "isopen": false, | 70 | "isopen": false, | ||
94 | "landing_page": | 71 | "landing_page": | ||
n | 95 | "https://archive.ics.uci.edu/ml/datasets/German+Credit", | n | 72 | "http://archive.ics.uci.edu/ml/datasets/German+Credit+Data+Set", |
96 | "license_title": null, | 73 | "license_title": null, | ||
97 | "link_orkg": "", | 74 | "link_orkg": "", | ||
98 | "metadata_created": "2024-12-02T18:25:11.068821", | 75 | "metadata_created": "2024-12-02T18:25:11.068821", | ||
n | 99 | "metadata_modified": "2024-12-02T18:25:11.677144", | n | 76 | "metadata_modified": "2024-12-02T22:58:10.559481", |
100 | "name": "german-credit-dataset", | 77 | "name": "german-credit-dataset", | ||
n | 101 | "notes": "The German Credit dataset is a well-known benchmark for | n | 78 | "notes": "The German credit dataset is a dataset used for |
102 | credit scoring models. It contains information about individuals, | 79 | classification tasks, and it contains sensitive attributes such as | ||
103 | including their age, gender, education, job, loan amount, salary, and | 80 | credit history.", | ||
104 | savings.", | ||||
105 | "num_resources": 1, | 81 | "num_resources": 0, | ||
106 | "num_tags": 18, | 82 | "num_tags": 8, | ||
107 | "organization": { | 83 | "organization": { | ||
108 | "approval_status": "approved", | 84 | "approval_status": "approved", | ||
109 | "created": "2024-11-25T12:11:38.292601", | 85 | "created": "2024-11-25T12:11:38.292601", | ||
110 | "description": "", | 86 | "description": "", | ||
111 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 87 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
112 | "image_url": "", | 88 | "image_url": "", | ||
113 | "is_organization": true, | 89 | "is_organization": true, | ||
114 | "name": "no-organization", | 90 | "name": "no-organization", | ||
115 | "state": "active", | 91 | "state": "active", | ||
116 | "title": "No Organization", | 92 | "title": "No Organization", | ||
117 | "type": "organization" | 93 | "type": "organization" | ||
118 | }, | 94 | }, | ||
119 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 95 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
120 | "private": false, | 96 | "private": false, | ||
121 | "relationships_as_object": [], | 97 | "relationships_as_object": [], | ||
122 | "relationships_as_subject": [], | 98 | "relationships_as_subject": [], | ||
n | 123 | "resources": [ | n | 99 | "resources": [], |
124 | { | ||||
125 | "cache_last_updated": null, | ||||
126 | "cache_url": null, | ||||
127 | "created": "2024-12-02T18:38:42", | ||||
128 | "data": [ | ||||
129 | "dcterms:title", | ||||
130 | "dcterms:accessRights", | ||||
131 | "dcterms:creator", | ||||
132 | "dcterms:description", | ||||
133 | "dcterms:issued", | ||||
134 | "dcterms:language", | ||||
135 | "dcterms:identifier", | ||||
136 | "dcat:theme", | ||||
137 | "dcterms:type", | ||||
138 | "dcat:keyword", | ||||
139 | "dcat:landingPage", | ||||
140 | "dcterms:hasVersion", | ||||
141 | "dcterms:format", | ||||
142 | "mls:task", | ||||
143 | "datacite:isDescribedBy" | ||||
144 | ], | ||||
145 | "description": "The json representation of the dataset with its | ||||
146 | distributions based on DCAT.", | ||||
147 | "format": "JSON", | ||||
148 | "hash": "", | ||||
149 | "id": "bb5b90c1-4c82-4b02-9d02-cced6266a8e6", | ||||
150 | "last_modified": "2024-12-02T18:25:11.667919", | ||||
151 | "metadata_modified": "2024-12-02T18:25:11.679880", | ||||
152 | "mimetype": "application/json", | ||||
153 | "mimetype_inner": null, | ||||
154 | "name": "Original Metadata", | ||||
155 | "package_id": "277df0f8-0fe2-47d8-bdaf-91ab136ad472", | ||||
156 | "position": 0, | ||||
157 | "resource_type": null, | ||||
158 | "size": 1538, | ||||
159 | "state": "active", | ||||
160 | "url": | ||||
161 | resource/bb5b90c1-4c82-4b02-9d02-cced6266a8e6/download/metadata.json", | ||||
162 | "url_type": "upload" | ||||
163 | } | ||||
164 | ], | ||||
165 | "services_used_list": "", | 100 | "services_used_list": "", | ||
166 | "state": "active", | 101 | "state": "active", | ||
167 | "tags": [ | 102 | "tags": [ | ||
168 | { | 103 | { | ||
n | 169 | "display_name": "Binary Classification", | n | 104 | "display_name": "Classification", |
170 | "id": "3703128a-f9dc-495f-a243-83317e120d6e", | 105 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||
171 | "name": "Binary Classification", | 106 | "name": "Classification", | ||
107 | "state": "active", | ||||
108 | "vocabulary_id": null | ||||
109 | }, | ||||
110 | { | ||||
111 | "display_name": "Classification Model", | ||||
112 | "id": "d9432c21-1642-4b8b-b528-6070d2248945", | ||||
113 | "name": "Classification Model", | ||||
172 | "state": "active", | 114 | "state": "active", | ||
173 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
174 | }, | 116 | }, | ||
175 | { | 117 | { | ||
176 | "display_name": "Credit", | 118 | "display_name": "Credit", | ||
177 | "id": "9b2ded5a-b60f-4bbc-ab3c-1848ce641fec", | 119 | "id": "9b2ded5a-b60f-4bbc-ab3c-1848ce641fec", | ||
178 | "name": "Credit", | 120 | "name": "Credit", | ||
179 | "state": "active", | 121 | "state": "active", | ||
180 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
181 | }, | 123 | }, | ||
182 | { | 124 | { | ||
183 | "display_name": "Credit Risk", | 125 | "display_name": "Credit Risk", | ||
184 | "id": "fab2c14b-9715-44b5-b5ae-0411ae2c4470", | 126 | "id": "fab2c14b-9715-44b5-b5ae-0411ae2c4470", | ||
185 | "name": "Credit Risk", | 127 | "name": "Credit Risk", | ||
186 | "state": "active", | 128 | "state": "active", | ||
187 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
188 | }, | 130 | }, | ||
189 | { | 131 | { | ||
n | 190 | "display_name": "Creditworthiness", | n | ||
191 | "id": "aad33700-1bb2-4d9c-b0c8-bb0d12f1e289", | ||||
192 | "name": "Creditworthiness", | ||||
193 | "state": "active", | ||||
194 | "vocabulary_id": null | ||||
195 | }, | ||||
196 | { | ||||
197 | "display_name": "Dataset", | 132 | "display_name": "Dataset", | ||
198 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | 133 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | ||
199 | "name": "Dataset", | 134 | "name": "Dataset", | ||
200 | "state": "active", | 135 | "state": "active", | ||
201 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
202 | }, | 137 | }, | ||
203 | { | 138 | { | ||
n | 204 | "display_name": "Financial Details", | n | 139 | "display_name": "Finance", |
205 | "id": "16470877-2519-4a42-b00c-a35f68508565", | 140 | "id": "45aaa067-76b7-413c-8d27-339a32729aa2", | ||
206 | "name": "Financial Details", | 141 | "name": "Finance", | ||
207 | "state": "active", | 142 | "state": "active", | ||
208 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
209 | }, | 144 | }, | ||
210 | { | 145 | { | ||
211 | "display_name": "German Credit", | 146 | "display_name": "German Credit", | ||
212 | "id": "30309639-c098-4dcd-aa15-00710850cfb0", | 147 | "id": "30309639-c098-4dcd-aa15-00710850cfb0", | ||
213 | "name": "German Credit", | 148 | "name": "German Credit", | ||
214 | "state": "active", | 149 | "state": "active", | ||
215 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
216 | }, | 151 | }, | ||
217 | { | 152 | { | ||
n | 218 | "display_name": "Loan applications", | n | ||
219 | "id": "b1c713f0-410e-4ff4-ad41-d5af717c658a", | ||||
220 | "name": "Loan applications", | ||||
221 | "state": "active", | ||||
222 | "vocabulary_id": null | ||||
223 | }, | ||||
224 | { | ||||
225 | "display_name": "Machine Learning", | ||||
226 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | ||||
227 | "name": "Machine Learning", | ||||
228 | "state": "active", | ||||
229 | "vocabulary_id": null | ||||
230 | }, | ||||
231 | { | ||||
232 | "display_name": "Personal Attributes", | ||||
233 | "id": "16ba8990-61ac-499e-bca6-b7ef6264c6be", | ||||
234 | "name": "Personal Attributes", | ||||
235 | "state": "active", | ||||
236 | "vocabulary_id": null | ||||
237 | }, | ||||
238 | { | ||||
239 | "display_name": "credit history", | ||||
240 | "id": "3c9f335d-5e6d-4293-b93e-c10147102d80", | ||||
241 | "name": "credit history", | ||||
242 | "state": "active", | ||||
243 | "vocabulary_id": null | ||||
244 | }, | ||||
245 | { | ||||
246 | "display_name": "credit risk", | ||||
247 | "id": "a3a4e2d3-7bf1-4e96-803e-514212869ab5", | ||||
248 | "name": "credit risk", | ||||
249 | "state": "active", | ||||
250 | "vocabulary_id": null | ||||
251 | }, | ||||
252 | { | ||||
253 | "display_name": "credit score", | ||||
254 | "id": "123da3dd-e46d-4706-87d0-96ef1caa4215", | ||||
255 | "name": "credit score", | ||||
256 | "state": "active", | ||||
257 | "vocabulary_id": null | ||||
258 | }, | ||||
259 | { | ||||
260 | "display_name": "credit scoring", | ||||
261 | "id": "9a3dcc58-475a-44f6-b61b-52689b17951f", | ||||
262 | "name": "credit scoring", | ||||
263 | "state": "active", | ||||
264 | "vocabulary_id": null | ||||
265 | }, | ||||
266 | { | ||||
267 | "display_name": "dataset", | 153 | "display_name": "German Credit Dataset", | ||
268 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 154 | "id": "6d77dcb7-2b0b-45cc-80e0-39832aab0006", | ||
269 | "name": "dataset", | 155 | "name": "German Credit Dataset", | ||
270 | "state": "active", | ||||
271 | "vocabulary_id": null | ||||
272 | }, | ||||
273 | { | ||||
274 | "display_name": "income", | ||||
275 | "id": "dba37f5e-54b2-4e23-8860-21f1926b7f4c", | ||||
276 | "name": "income", | ||||
277 | "state": "active", | ||||
278 | "vocabulary_id": null | ||||
279 | }, | ||||
280 | { | ||||
281 | "display_name": "loan applications", | ||||
282 | "id": "808a787a-3501-4b76-bf24-8ac344fbb31b", | ||||
283 | "name": "loan applications", | ||||
284 | "state": "active", | ||||
285 | "vocabulary_id": null | ||||
286 | }, | ||||
287 | { | ||||
288 | "display_name": "machine learning", | ||||
289 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||||
290 | "name": "machine learning", | ||||
291 | "state": "active", | 156 | "state": "active", | ||
292 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
293 | } | 158 | } | ||
294 | ], | 159 | ], | ||
t | 295 | "title": "German Credit dataset", | t | 160 | "title": "German Credit Dataset", |
296 | "type": "dataset", | 161 | "type": "dataset", | ||
297 | "version": "" | 162 | "version": "" | ||
298 | } | 163 | } |