Changes
On December 2, 2024 at 11:09:20 PM UTC, admin:
-
Added resource Original Metadata to SST-2
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Depeng Liang", | 3 | "author": "Depeng Liang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2305.11596", | 6 | "https://doi.org/10.48550/arXiv.2305.11596", | ||
7 | "https://doi.org/10.48550/arXiv.2210.14576", | 7 | "https://doi.org/10.48550/arXiv.2210.14576", | ||
8 | "https://doi.org/10.48550/arXiv.2310.07579", | 8 | "https://doi.org/10.48550/arXiv.2310.07579", | ||
9 | "https://doi.org/10.48550/arXiv.2105.06020", | 9 | "https://doi.org/10.48550/arXiv.2105.06020", | ||
10 | "https://doi.org/10.48550/arXiv.2210.04466", | 10 | "https://doi.org/10.48550/arXiv.2210.04466", | ||
11 | "https://doi.org/10.48550/arXiv.2102.04761", | 11 | "https://doi.org/10.48550/arXiv.2102.04761", | ||
12 | "https://doi.org/10.48550/arXiv.2401.03514", | 12 | "https://doi.org/10.48550/arXiv.2401.03514", | ||
13 | "https://doi.org/10.48550/arXiv.2305.14710", | 13 | "https://doi.org/10.48550/arXiv.2305.14710", | ||
14 | "https://doi.org/10.48550/arXiv.2009.07360", | 14 | "https://doi.org/10.48550/arXiv.2009.07360", | ||
15 | "https://doi.org/10.48550/arXiv.2007.06898" | 15 | "https://doi.org/10.48550/arXiv.2007.06898" | ||
16 | ], | 16 | ], | ||
17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
18 | "defined_in": "https://doi.org/10.48550/arXiv.2109.05463", | 18 | "defined_in": "https://doi.org/10.48550/arXiv.2109.05463", | ||
19 | "doi": "10.57702/xbqg3gx6", | 19 | "doi": "10.57702/xbqg3gx6", | ||
20 | "doi_date_published": "2024-11-25", | 20 | "doi_date_published": "2024-11-25", | ||
21 | "doi_publisher": "TIB", | 21 | "doi_publisher": "TIB", | ||
22 | "doi_status": true, | 22 | "doi_status": true, | ||
23 | "domain": "https://service.tib.eu/ldmservice", | 23 | "domain": "https://service.tib.eu/ldmservice", | ||
24 | "extra_authors": [ | 24 | "extra_authors": [ | ||
25 | { | 25 | { | ||
26 | "extra_author": "Yongdong Zhang", | 26 | "extra_author": "Yongdong Zhang", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | } | 28 | } | ||
29 | ], | 29 | ], | ||
30 | "groups": [ | 30 | "groups": [ | ||
31 | { | 31 | { | ||
32 | "description": "", | 32 | "description": "", | ||
33 | "display_name": "Active Learning", | 33 | "display_name": "Active Learning", | ||
34 | "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80", | 34 | "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80", | ||
35 | "image_display_url": "", | 35 | "image_display_url": "", | ||
36 | "name": "active-learning", | 36 | "name": "active-learning", | ||
37 | "title": "Active Learning" | 37 | "title": "Active Learning" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "Natural Language Processing", | 41 | "display_name": "Natural Language Processing", | ||
42 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 42 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "natural-language-processing", | 44 | "name": "natural-language-processing", | ||
45 | "title": "Natural Language Processing" | 45 | "title": "Natural Language Processing" | ||
46 | }, | 46 | }, | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Question Answering", | 49 | "display_name": "Question Answering", | ||
50 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 50 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "question-answering", | 52 | "name": "question-answering", | ||
53 | "title": "Question Answering" | 53 | "title": "Question Answering" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Question Classification", | 57 | "display_name": "Question Classification", | ||
58 | "id": "4ad84313-7b56-4857-814b-6e2c2a1f26d3", | 58 | "id": "4ad84313-7b56-4857-814b-6e2c2a1f26d3", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "question-classification", | 60 | "name": "question-classification", | ||
61 | "title": "Question Classification" | 61 | "title": "Question Classification" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Sentiment Analysis", | 65 | "display_name": "Sentiment Analysis", | ||
66 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | 66 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "sentiment-analysis", | 68 | "name": "sentiment-analysis", | ||
69 | "title": "Sentiment Analysis" | 69 | "title": "Sentiment Analysis" | ||
70 | }, | 70 | }, | ||
71 | { | 71 | { | ||
72 | "description": "", | 72 | "description": "", | ||
73 | "display_name": "Subjectivity Classification", | 73 | "display_name": "Subjectivity Classification", | ||
74 | "id": "be36a9d7-a141-4d3c-90f6-a166c941af9e", | 74 | "id": "be36a9d7-a141-4d3c-90f6-a166c941af9e", | ||
75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
76 | "name": "subjectivity-classification", | 76 | "name": "subjectivity-classification", | ||
77 | "title": "Subjectivity Classification" | 77 | "title": "Subjectivity Classification" | ||
78 | }, | 78 | }, | ||
79 | { | 79 | { | ||
80 | "description": "", | 80 | "description": "", | ||
81 | "display_name": "Text Classification", | 81 | "display_name": "Text Classification", | ||
82 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | 82 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | ||
83 | "image_display_url": "", | 83 | "image_display_url": "", | ||
84 | "name": "text-classification", | 84 | "name": "text-classification", | ||
85 | "title": "Text Classification" | 85 | "title": "Text Classification" | ||
86 | } | 86 | } | ||
87 | ], | 87 | ], | ||
88 | "id": "447486f4-d9da-45e4-8dc2-737b541a8560", | 88 | "id": "447486f4-d9da-45e4-8dc2-737b541a8560", | ||
89 | "isopen": false, | 89 | "isopen": false, | ||
90 | "landing_page": "https://www.aclweb.org/anthology/D15-1012", | 90 | "landing_page": "https://www.aclweb.org/anthology/D15-1012", | ||
91 | "license_title": null, | 91 | "license_title": null, | ||
92 | "link_orkg": "", | 92 | "link_orkg": "", | ||
93 | "metadata_created": "2024-11-25T14:27:01.487246", | 93 | "metadata_created": "2024-11-25T14:27:01.487246", | ||
n | 94 | "metadata_modified": "2024-12-02T23:09:18.595628", | n | 94 | "metadata_modified": "2024-12-02T23:09:19.841691", |
95 | "name": "sst-2", | 95 | "name": "sst-2", | ||
96 | "notes": "The dataset used for the experiments across ten | 96 | "notes": "The dataset used for the experiments across ten | ||
97 | models\u2013 ranging from bag-of-words models to pre-trained | 97 | models\u2013 ranging from bag-of-words models to pre-trained | ||
98 | transformers\u2013 and \ufb01nd that a model having higher AUC does | 98 | transformers\u2013 and \ufb01nd that a model having higher AUC does | ||
99 | not necessarily have a higher selective answering capability.", | 99 | not necessarily have a higher selective answering capability.", | ||
n | 100 | "num_resources": 0, | n | 100 | "num_resources": 1, |
101 | "num_tags": 18, | 101 | "num_tags": 18, | ||
102 | "organization": { | 102 | "organization": { | ||
103 | "approval_status": "approved", | 103 | "approval_status": "approved", | ||
104 | "created": "2024-11-25T12:11:38.292601", | 104 | "created": "2024-11-25T12:11:38.292601", | ||
105 | "description": "", | 105 | "description": "", | ||
106 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 106 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
107 | "image_url": "", | 107 | "image_url": "", | ||
108 | "is_organization": true, | 108 | "is_organization": true, | ||
109 | "name": "no-organization", | 109 | "name": "no-organization", | ||
110 | "state": "active", | 110 | "state": "active", | ||
111 | "title": "No Organization", | 111 | "title": "No Organization", | ||
112 | "type": "organization" | 112 | "type": "organization" | ||
113 | }, | 113 | }, | ||
114 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 114 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
115 | "private": false, | 115 | "private": false, | ||
116 | "relationships_as_object": [], | 116 | "relationships_as_object": [], | ||
117 | "relationships_as_subject": [], | 117 | "relationships_as_subject": [], | ||
t | 118 | "resources": [], | t | 118 | "resources": [ |
119 | { | ||||
120 | "cache_last_updated": null, | ||||
121 | "cache_url": null, | ||||
122 | "created": "2024-12-02T22:29:38", | ||||
123 | "data": [ | ||||
124 | "dcterms:title", | ||||
125 | "dcterms:accessRights", | ||||
126 | "dcterms:creator", | ||||
127 | "dcterms:description", | ||||
128 | "dcterms:issued", | ||||
129 | "dcterms:language", | ||||
130 | "dcterms:identifier", | ||||
131 | "dcat:theme", | ||||
132 | "dcterms:type", | ||||
133 | "dcat:keyword", | ||||
134 | "dcat:landingPage", | ||||
135 | "dcterms:hasVersion", | ||||
136 | "dcterms:format", | ||||
137 | "mls:task", | ||||
138 | "datacite:isDescribedBy" | ||||
139 | ], | ||||
140 | "description": "The json representation of the dataset with its | ||||
141 | distributions based on DCAT.", | ||||
142 | "format": "JSON", | ||||
143 | "hash": "", | ||||
144 | "id": "f3e254e4-acf6-42c9-830d-8c75e07bad38", | ||||
145 | "last_modified": "2024-12-02T23:09:19.832010", | ||||
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147 | "mimetype": "application/json", | ||||
148 | "mimetype_inner": null, | ||||
149 | "name": "Original Metadata", | ||||
150 | "package_id": "447486f4-d9da-45e4-8dc2-737b541a8560", | ||||
151 | "position": 0, | ||||
152 | "resource_type": null, | ||||
153 | "size": 1760, | ||||
154 | "state": "active", | ||||
155 | "url": | ||||
156 | resource/f3e254e4-acf6-42c9-830d-8c75e07bad38/download/metadata.json", | ||||
157 | "url_type": "upload" | ||||
158 | } | ||||
159 | ], | ||||
119 | "services_used_list": "", | 160 | "services_used_list": "", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "tags": [ | 162 | "tags": [ | ||
122 | { | 163 | { | ||
123 | "display_name": "Active Learning", | 164 | "display_name": "Active Learning", | ||
124 | "id": "a8357cc2-9e98-47aa-af5e-aa49c61e75db", | 165 | "id": "a8357cc2-9e98-47aa-af5e-aa49c61e75db", | ||
125 | "name": "Active Learning", | 166 | "name": "Active Learning", | ||
126 | "state": "active", | 167 | "state": "active", | ||
127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
128 | }, | 169 | }, | ||
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133 | "state": "active", | 174 | "state": "active", | ||
134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
135 | }, | 176 | }, | ||
136 | { | 177 | { | ||
137 | "display_name": "Diversity Sampling", | 178 | "display_name": "Diversity Sampling", | ||
138 | "id": "470abd32-5f95-4d6f-b750-1202b99fccd6", | 179 | "id": "470abd32-5f95-4d6f-b750-1202b99fccd6", | ||
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142 | }, | 183 | }, | ||
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147 | "state": "active", | 188 | "state": "active", | ||
148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
149 | }, | 190 | }, | ||
150 | { | 191 | { | ||
151 | "display_name": "SST-2", | 192 | "display_name": "SST-2", | ||
152 | "id": "9a51fd1c-a50b-4e9b-b300-6be82b2e3f2f", | 193 | "id": "9a51fd1c-a50b-4e9b-b300-6be82b2e3f2f", | ||
153 | "name": "SST-2", | 194 | "name": "SST-2", | ||
154 | "state": "active", | 195 | "state": "active", | ||
155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
156 | }, | 197 | }, | ||
157 | { | 198 | { | ||
158 | "display_name": "STS", | 199 | "display_name": "STS", | ||
159 | "id": "19c083a4-bf02-4d31-906f-3c62656c8071", | 200 | "id": "19c083a4-bf02-4d31-906f-3c62656c8071", | ||
160 | "name": "STS", | 201 | "name": "STS", | ||
161 | "state": "active", | 202 | "state": "active", | ||
162 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
163 | }, | 204 | }, | ||
164 | { | 205 | { | ||
165 | "display_name": "Selective Answering", | 206 | "display_name": "Selective Answering", | ||
166 | "id": "4e271c05-006e-447e-b0a7-e0e2f01c482c", | 207 | "id": "4e271c05-006e-447e-b0a7-e0e2f01c482c", | ||
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169 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
170 | }, | 211 | }, | ||
171 | { | 212 | { | ||
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173 | "id": "28dd2f73-6ad0-42c2-b053-5c28af67f1a5", | 214 | "id": "28dd2f73-6ad0-42c2-b053-5c28af67f1a5", | ||
174 | "name": "Semantic Textual Similarity", | 215 | "name": "Semantic Textual Similarity", | ||
175 | "state": "active", | 216 | "state": "active", | ||
176 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
177 | }, | 218 | }, | ||
178 | { | 219 | { | ||
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180 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | 221 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | ||
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182 | "state": "active", | 223 | "state": "active", | ||
183 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
184 | }, | 225 | }, | ||
185 | { | 226 | { | ||
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196 | "state": "active", | 237 | "state": "active", | ||
197 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
198 | }, | 239 | }, | ||
199 | { | 240 | { | ||
200 | "display_name": "Uncertainty Sampling", | 241 | "display_name": "Uncertainty Sampling", | ||
201 | "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95", | 242 | "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95", | ||
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203 | "state": "active", | 244 | "state": "active", | ||
204 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
205 | }, | 246 | }, | ||
206 | { | 247 | { | ||
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210 | "state": "active", | 251 | "state": "active", | ||
211 | "vocabulary_id": null | 252 | "vocabulary_id": null | ||
212 | }, | 253 | }, | ||
213 | { | 254 | { | ||
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215 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 256 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
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217 | "state": "active", | 258 | "state": "active", | ||
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219 | }, | 260 | }, | ||
220 | { | 261 | { | ||
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224 | "state": "active", | 265 | "state": "active", | ||
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226 | }, | 267 | }, | ||
227 | { | 268 | { | ||
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230 | "name": "sentiment analysis", | 271 | "name": "sentiment analysis", | ||
231 | "state": "active", | 272 | "state": "active", | ||
232 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
233 | }, | 274 | }, | ||
234 | { | 275 | { | ||
235 | "display_name": "subjectivity classification", | 276 | "display_name": "subjectivity classification", | ||
236 | "id": "bdd411ec-3591-46bd-b9fd-f6d4f771e33e", | 277 | "id": "bdd411ec-3591-46bd-b9fd-f6d4f771e33e", | ||
237 | "name": "subjectivity classification", | 278 | "name": "subjectivity classification", | ||
238 | "state": "active", | 279 | "state": "active", | ||
239 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
240 | }, | 281 | }, | ||
241 | { | 282 | { | ||
242 | "display_name": "text classification", | 283 | "display_name": "text classification", | ||
243 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | 284 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | ||
244 | "name": "text classification", | 285 | "name": "text classification", | ||
245 | "state": "active", | 286 | "state": "active", | ||
246 | "vocabulary_id": null | 287 | "vocabulary_id": null | ||
247 | } | 288 | } | ||
248 | ], | 289 | ], | ||
249 | "title": "SST-2", | 290 | "title": "SST-2", | ||
250 | "type": "dataset", | 291 | "type": "dataset", | ||
251 | "version": "" | 292 | "version": "" | ||
252 | } | 293 | } |