Changes
On December 16, 2024 at 6:44:31 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in UltraFeedback -
Changed value of field
doi_date_published
to2024-12-16
in UltraFeedback -
Added resource Original Metadata to UltraFeedback
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Ganqu Cui", | 3 | "author": "Ganqu Cui", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2407.06645" | 6 | "https://doi.org/10.48550/arXiv.2407.06645" | ||
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.2402.11253", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2402.11253", | ||
10 | "doi": "10.57702/06vp56te", | 10 | "doi": "10.57702/06vp56te", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-16", |
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": "Lifan Yuan", | 17 | "extra_author": "Lifan Yuan", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Ning Ding", | 21 | "extra_author": "Ning Ding", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Guanming Yao", | 25 | "extra_author": "Guanming Yao", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Wei Zhu", | 29 | "extra_author": "Wei Zhu", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Yuan Ni", | 33 | "extra_author": "Yuan Ni", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "Guotong Xie", | 37 | "extra_author": "Guotong Xie", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "extra_author": "Zhiyuan Liu", | 41 | "extra_author": "Zhiyuan Liu", | ||
42 | "orcid": "" | 42 | "orcid": "" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "extra_author": "Maosong Sun", | 45 | "extra_author": "Maosong Sun", | ||
46 | "orcid": "" | 46 | "orcid": "" | ||
47 | } | 47 | } | ||
48 | ], | 48 | ], | ||
49 | "groups": [ | 49 | "groups": [ | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Human Feedback", | 52 | "display_name": "Human Feedback", | ||
53 | "id": "23a64964-cf6d-4b1b-bd3b-899e9ccb6c1c", | 53 | "id": "23a64964-cf6d-4b1b-bd3b-899e9ccb6c1c", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "human-feedback", | 55 | "name": "human-feedback", | ||
56 | "title": "Human Feedback" | 56 | "title": "Human Feedback" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "description": "", | 59 | "description": "", | ||
60 | "display_name": "Language Models", | 60 | "display_name": "Language Models", | ||
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62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "language-models", | 63 | "name": "language-models", | ||
64 | "title": "Language Models" | 64 | "title": "Language Models" | ||
65 | }, | 65 | }, | ||
66 | { | 66 | { | ||
67 | "description": "", | 67 | "description": "", | ||
68 | "display_name": "Question Answering", | 68 | "display_name": "Question Answering", | ||
69 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 69 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
71 | "name": "question-answering", | 71 | "name": "question-answering", | ||
72 | "title": "Question Answering" | 72 | "title": "Question Answering" | ||
73 | } | 73 | } | ||
74 | ], | 74 | ], | ||
75 | "id": "10395d5e-e0a8-4f5e-980e-ce171cddfd38", | 75 | "id": "10395d5e-e0a8-4f5e-980e-ce171cddfd38", | ||
76 | "isopen": false, | 76 | "isopen": false, | ||
77 | "landing_page": | 77 | "landing_page": | ||
78 | "https://huggingface.co/datasets/openbmb/UltraFeedback", | 78 | "https://huggingface.co/datasets/openbmb/UltraFeedback", | ||
79 | "license_title": null, | 79 | "license_title": null, | ||
80 | "link_orkg": "", | 80 | "link_orkg": "", | ||
81 | "metadata_created": "2024-12-16T18:44:30.563673", | 81 | "metadata_created": "2024-12-16T18:44:30.563673", | ||
n | 82 | "metadata_modified": "2024-12-16T18:44:30.563679", | n | 82 | "metadata_modified": "2024-12-16T18:44:30.939247", |
83 | "name": "ultrafeedback", | 83 | "name": "ultrafeedback", | ||
84 | "notes": "UltraFeedback is a dataset consisting of AI feedback where | 84 | "notes": "UltraFeedback is a dataset consisting of AI feedback where | ||
85 | GPT-4 rates responses obtained from four different language models for | 85 | GPT-4 rates responses obtained from four different language models for | ||
86 | the 64k prompts, based on four principles of helpfulness, | 86 | the 64k prompts, based on four principles of helpfulness, | ||
87 | instruction-following, truthfulness, and honesty.", | 87 | instruction-following, truthfulness, and honesty.", | ||
n | 88 | "num_resources": 0, | n | 88 | "num_resources": 1, |
89 | "num_tags": 8, | 89 | "num_tags": 8, | ||
90 | "organization": { | 90 | "organization": { | ||
91 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
92 | "created": "2024-11-25T12:11:38.292601", | 92 | "created": "2024-11-25T12:11:38.292601", | ||
93 | "description": "", | 93 | "description": "", | ||
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95 | "image_url": "", | 95 | "image_url": "", | ||
96 | "is_organization": true, | 96 | "is_organization": true, | ||
97 | "name": "no-organization", | 97 | "name": "no-organization", | ||
98 | "state": "active", | 98 | "state": "active", | ||
99 | "title": "No Organization", | 99 | "title": "No Organization", | ||
100 | "type": "organization" | 100 | "type": "organization" | ||
101 | }, | 101 | }, | ||
102 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 102 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
103 | "private": false, | 103 | "private": false, | ||
104 | "relationships_as_object": [], | 104 | "relationships_as_object": [], | ||
105 | "relationships_as_subject": [], | 105 | "relationships_as_subject": [], | ||
t | 106 | "resources": [], | t | 106 | "resources": [ |
107 | { | ||||
108 | "cache_last_updated": null, | ||||
109 | "cache_url": null, | ||||
110 | "created": "2024-12-16T18:25:36", | ||||
111 | "data": [ | ||||
112 | "dcterms:title", | ||||
113 | "dcterms:accessRights", | ||||
114 | "dcterms:creator", | ||||
115 | "dcterms:description", | ||||
116 | "dcterms:issued", | ||||
117 | "dcterms:language", | ||||
118 | "dcterms:identifier", | ||||
119 | "dcat:theme", | ||||
120 | "dcterms:type", | ||||
121 | "dcat:keyword", | ||||
122 | "dcat:landingPage", | ||||
123 | "dcterms:hasVersion", | ||||
124 | "dcterms:format", | ||||
125 | "mls:task", | ||||
126 | "datacite:isDescribedBy" | ||||
127 | ], | ||||
128 | "description": "The json representation of the dataset with its | ||||
129 | distributions based on DCAT.", | ||||
130 | "format": "JSON", | ||||
131 | "hash": "", | ||||
132 | "id": "717a6ccc-2799-4703-81bd-fa4b7ec92db6", | ||||
133 | "last_modified": "2024-12-16T18:44:30.931303", | ||||
134 | "metadata_modified": "2024-12-16T18:44:30.942101", | ||||
135 | "mimetype": "application/json", | ||||
136 | "mimetype_inner": null, | ||||
137 | "name": "Original Metadata", | ||||
138 | "package_id": "10395d5e-e0a8-4f5e-980e-ce171cddfd38", | ||||
139 | "position": 0, | ||||
140 | "resource_type": null, | ||||
141 | "size": 1104, | ||||
142 | "state": "active", | ||||
143 | "url": | ||||
144 | resource/717a6ccc-2799-4703-81bd-fa4b7ec92db6/download/metadata.json", | ||||
145 | "url_type": "upload" | ||||
146 | } | ||||
147 | ], | ||||
107 | "services_used_list": "", | 148 | "services_used_list": "", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "tags": [ | 150 | "tags": [ | ||
110 | { | 151 | { | ||
111 | "display_name": "LLMs", | 152 | "display_name": "LLMs", | ||
112 | "id": "61771b29-ae87-4956-bf63-9263311f3ef5", | 153 | "id": "61771b29-ae87-4956-bf63-9263311f3ef5", | ||
113 | "name": "LLMs", | 154 | "name": "LLMs", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "helpfulness", | 159 | "display_name": "helpfulness", | ||
119 | "id": "cf8e98fb-9a38-4919-8e90-8f1c807607ad", | 160 | "id": "cf8e98fb-9a38-4919-8e90-8f1c807607ad", | ||
120 | "name": "helpfulness", | 161 | "name": "helpfulness", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | }, | 164 | }, | ||
124 | { | 165 | { | ||
125 | "display_name": "honesty", | 166 | "display_name": "honesty", | ||
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127 | "name": "honesty", | 168 | "name": "honesty", | ||
128 | "state": "active", | 169 | "state": "active", | ||
129 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
130 | }, | 171 | }, | ||
131 | { | 172 | { | ||
132 | "display_name": "human feedback", | 173 | "display_name": "human feedback", | ||
133 | "id": "c52f1c18-6393-4ff3-8d19-3d7aeebf7b31", | 174 | "id": "c52f1c18-6393-4ff3-8d19-3d7aeebf7b31", | ||
134 | "name": "human feedback", | 175 | "name": "human feedback", | ||
135 | "state": "active", | 176 | "state": "active", | ||
136 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
137 | }, | 178 | }, | ||
138 | { | 179 | { | ||
139 | "display_name": "instruction-following", | 180 | "display_name": "instruction-following", | ||
140 | "id": "978dae3e-2706-448f-972e-5a3396195881", | 181 | "id": "978dae3e-2706-448f-972e-5a3396195881", | ||
141 | "name": "instruction-following", | 182 | "name": "instruction-following", | ||
142 | "state": "active", | 183 | "state": "active", | ||
143 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
144 | }, | 185 | }, | ||
145 | { | 186 | { | ||
146 | "display_name": "language models", | 187 | "display_name": "language models", | ||
147 | "id": "4729dde2-7c2d-4139-a4a4-277eb803d093", | 188 | "id": "4729dde2-7c2d-4139-a4a4-277eb803d093", | ||
148 | "name": "language models", | 189 | "name": "language models", | ||
149 | "state": "active", | 190 | "state": "active", | ||
150 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
151 | }, | 192 | }, | ||
152 | { | 193 | { | ||
153 | "display_name": "question answering", | 194 | "display_name": "question answering", | ||
154 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 195 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
155 | "name": "question answering", | 196 | "name": "question answering", | ||
156 | "state": "active", | 197 | "state": "active", | ||
157 | "vocabulary_id": null | 198 | "vocabulary_id": null | ||
158 | }, | 199 | }, | ||
159 | { | 200 | { | ||
160 | "display_name": "truthfulness", | 201 | "display_name": "truthfulness", | ||
161 | "id": "e942141d-e378-46fe-897f-38bf71762df7", | 202 | "id": "e942141d-e378-46fe-897f-38bf71762df7", | ||
162 | "name": "truthfulness", | 203 | "name": "truthfulness", | ||
163 | "state": "active", | 204 | "state": "active", | ||
164 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
165 | } | 206 | } | ||
166 | ], | 207 | ], | ||
167 | "title": "UltraFeedback", | 208 | "title": "UltraFeedback", | ||
168 | "type": "dataset", | 209 | "type": "dataset", | ||
169 | "version": "" | 210 | "version": "" | ||
170 | } | 211 | } |