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On December 3, 2024 at 9:20:04 AM UTC,
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Added resource Original Metadata to Office dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Yanzuo Lu", | 3 | "author": "Yanzuo Lu", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.1145/3343031.3350953" | 6 | "https://doi.org/10.1145/3343031.3350953" | ||
| 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.2312.07871", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2312.07871", | ||
| 10 | "doi": "10.57702/33iovo4k", | 10 | "doi": "10.57702/33iovo4k", | ||
| 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": "Meng Shen", | 17 | "extra_author": "Meng Shen", | ||
| 18 | "orcid": "" | 18 | "orcid": "" | ||
| 19 | }, | 19 | }, | ||
| 20 | { | 20 | { | ||
| 21 | "extra_author": "Andy J Ma", | 21 | "extra_author": "Andy J Ma", | ||
| 22 | "orcid": "" | 22 | "orcid": "" | ||
| 23 | }, | 23 | }, | ||
| 24 | { | 24 | { | ||
| 25 | "extra_author": "Xiaohua Xie", | 25 | "extra_author": "Xiaohua Xie", | ||
| 26 | "orcid": "" | 26 | "orcid": "" | ||
| 27 | }, | 27 | }, | ||
| 28 | { | 28 | { | ||
| 29 | "extra_author": "Jian-Huang Lai", | 29 | "extra_author": "Jian-Huang Lai", | ||
| 30 | "orcid": "" | 30 | "orcid": "" | ||
| 31 | } | 31 | } | ||
| 32 | ], | 32 | ], | ||
| 33 | "groups": [ | 33 | "groups": [ | ||
| 34 | { | 34 | { | ||
| 35 | "description": "", | 35 | "description": "", | ||
| 36 | "display_name": "Image Dataset", | 36 | "display_name": "Image Dataset", | ||
| 37 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | 37 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | ||
| 38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
| 39 | "name": "image-dataset", | 39 | "name": "image-dataset", | ||
| 40 | "title": "Image Dataset" | 40 | "title": "Image Dataset" | ||
| 41 | }, | 41 | }, | ||
| 42 | { | 42 | { | ||
| 43 | "description": "", | 43 | "description": "", | ||
| 44 | "display_name": "Recommendation Systems", | 44 | "display_name": "Recommendation Systems", | ||
| 45 | "id": "23a476ec-059d-4c6a-ba8a-fee88ad51d79", | 45 | "id": "23a476ec-059d-4c6a-ba8a-fee88ad51d79", | ||
| 46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
| 47 | "name": "recommendation-systems", | 47 | "name": "recommendation-systems", | ||
| 48 | "title": "Recommendation Systems" | 48 | "title": "Recommendation Systems" | ||
| 49 | } | 49 | } | ||
| 50 | ], | 50 | ], | ||
| 51 | "id": "869fb6c2-b334-4f8f-b1cd-ff7fc2cf2dec", | 51 | "id": "869fb6c2-b334-4f8f-b1cd-ff7fc2cf2dec", | ||
| 52 | "isopen": false, | 52 | "isopen": false, | ||
| 53 | "landing_page": "https://cs.nyu.edu/~ylu/Office-Home.html", | 53 | "landing_page": "https://cs.nyu.edu/~ylu/Office-Home.html", | ||
| 54 | "license_title": null, | 54 | "license_title": null, | ||
| 55 | "link_orkg": "", | 55 | "link_orkg": "", | ||
| 56 | "metadata_created": "2024-11-25T15:03:36.848132", | 56 | "metadata_created": "2024-11-25T15:03:36.848132", | ||
| n | 57 | "metadata_modified": "2024-12-03T09:20:02.916056", | n | 57 | "metadata_modified": "2024-12-03T09:20:03.837312", |
| 58 | "name": "office-dataset", | 58 | "name": "office-dataset", | ||
| 59 | "notes": "Office dataset consists of 31 categories and contains | 59 | "notes": "Office dataset consists of 31 categories and contains | ||
| 60 | around 4,700 images across three domains, namely Amazon(A), DSLR(D) | 60 | around 4,700 images across three domains, namely Amazon(A), DSLR(D) | ||
| 61 | and Webcam(W).", | 61 | and Webcam(W).", | ||
| n | 62 | "num_resources": 0, | n | 62 | "num_resources": 1, |
| 63 | "num_tags": 7, | 63 | "num_tags": 7, | ||
| 64 | "organization": { | 64 | "organization": { | ||
| 65 | "approval_status": "approved", | 65 | "approval_status": "approved", | ||
| 66 | "created": "2024-11-25T12:11:38.292601", | 66 | "created": "2024-11-25T12:11:38.292601", | ||
| 67 | "description": "", | 67 | "description": "", | ||
| 68 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 68 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 69 | "image_url": "", | 69 | "image_url": "", | ||
| 70 | "is_organization": true, | 70 | "is_organization": true, | ||
| 71 | "name": "no-organization", | 71 | "name": "no-organization", | ||
| 72 | "state": "active", | 72 | "state": "active", | ||
| 73 | "title": "No Organization", | 73 | "title": "No Organization", | ||
| 74 | "type": "organization" | 74 | "type": "organization" | ||
| 75 | }, | 75 | }, | ||
| 76 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 76 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 77 | "private": false, | 77 | "private": false, | ||
| 78 | "relationships_as_object": [], | 78 | "relationships_as_object": [], | ||
| 79 | "relationships_as_subject": [], | 79 | "relationships_as_subject": [], | ||
| t | 80 | "resources": [], | t | 80 | "resources": [ |
| 81 | { | ||||
| 82 | "cache_last_updated": null, | ||||
| 83 | "cache_url": null, | ||||
| 84 | "created": "2024-12-03T10:17:29", | ||||
| 85 | "data": [ | ||||
| 86 | "dcterms:title", | ||||
| 87 | "dcterms:accessRights", | ||||
| 88 | "dcterms:creator", | ||||
| 89 | "dcterms:description", | ||||
| 90 | "dcterms:issued", | ||||
| 91 | "dcterms:language", | ||||
| 92 | "dcterms:identifier", | ||||
| 93 | "dcat:theme", | ||||
| 94 | "dcterms:type", | ||||
| 95 | "dcat:keyword", | ||||
| 96 | "dcat:landingPage", | ||||
| 97 | "dcterms:hasVersion", | ||||
| 98 | "dcterms:format", | ||||
| 99 | "mls:task", | ||||
| 100 | "datacite:isDescribedBy" | ||||
| 101 | ], | ||||
| 102 | "description": "The json representation of the dataset with its | ||||
| 103 | distributions based on DCAT.", | ||||
| 104 | "format": "JSON", | ||||
| 105 | "hash": "", | ||||
| 106 | "id": "7e1a54e4-61dd-46d4-908b-9d91a7328767", | ||||
| 107 | "last_modified": "2024-12-03T09:20:03.829298", | ||||
| 108 | "metadata_modified": "2024-12-03T09:20:03.840370", | ||||
| 109 | "mimetype": "application/json", | ||||
| 110 | "mimetype_inner": null, | ||||
| 111 | "name": "Original Metadata", | ||||
| 112 | "package_id": "869fb6c2-b334-4f8f-b1cd-ff7fc2cf2dec", | ||||
| 113 | "position": 0, | ||||
| 114 | "resource_type": null, | ||||
| 115 | "size": 936, | ||||
| 116 | "state": "active", | ||||
| 117 | "url": | ||||
| 118 | resource/7e1a54e4-61dd-46d4-908b-9d91a7328767/download/metadata.json", | ||||
| 119 | "url_type": "upload" | ||||
| 120 | } | ||||
| 121 | ], | ||||
| 81 | "services_used_list": "", | 122 | "services_used_list": "", | ||
| 82 | "state": "active", | 123 | "state": "active", | ||
| 83 | "tags": [ | 124 | "tags": [ | ||
| 84 | { | 125 | { | ||
| 85 | "display_name": "Office Supplies", | 126 | "display_name": "Office Supplies", | ||
| 86 | "id": "1bf7d568-c84e-4681-a5f0-78566a862f85", | 127 | "id": "1bf7d568-c84e-4681-a5f0-78566a862f85", | ||
| 87 | "name": "Office Supplies", | 128 | "name": "Office Supplies", | ||
| 88 | "state": "active", | 129 | "state": "active", | ||
| 89 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
| 90 | }, | 131 | }, | ||
| 91 | { | 132 | { | ||
| 92 | "display_name": "Ratings", | 133 | "display_name": "Ratings", | ||
| 93 | "id": "f672df87-6f6b-4d9b-9ba1-707f6cbe7491", | 134 | "id": "f672df87-6f6b-4d9b-9ba1-707f6cbe7491", | ||
| 94 | "name": "Ratings", | 135 | "name": "Ratings", | ||
| 95 | "state": "active", | 136 | "state": "active", | ||
| 96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
| 97 | }, | 138 | }, | ||
| 98 | { | 139 | { | ||
| 99 | "display_name": "Recommendation Systems", | 140 | "display_name": "Recommendation Systems", | ||
| 100 | "id": "d5b7a251-8138-4651-b00f-83e7e2c063a6", | 141 | "id": "d5b7a251-8138-4651-b00f-83e7e2c063a6", | ||
| 101 | "name": "Recommendation Systems", | 142 | "name": "Recommendation Systems", | ||
| 102 | "state": "active", | 143 | "state": "active", | ||
| 103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
| 104 | }, | 145 | }, | ||
| 105 | { | 146 | { | ||
| 106 | "display_name": "Reviews", | 147 | "display_name": "Reviews", | ||
| 107 | "id": "5bfe020a-48b1-4723-aa38-bab9f297abf0", | 148 | "id": "5bfe020a-48b1-4723-aa38-bab9f297abf0", | ||
| 108 | "name": "Reviews", | 149 | "name": "Reviews", | ||
| 109 | "state": "active", | 150 | "state": "active", | ||
| 110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
| 111 | }, | 152 | }, | ||
| 112 | { | 153 | { | ||
| 113 | "display_name": "domain adaptation", | 154 | "display_name": "domain adaptation", | ||
| 114 | "id": "3c900934-0ab3-4ca7-8f25-6dba88c6bdf0", | 155 | "id": "3c900934-0ab3-4ca7-8f25-6dba88c6bdf0", | ||
| 115 | "name": "domain adaptation", | 156 | "name": "domain adaptation", | ||
| 116 | "state": "active", | 157 | "state": "active", | ||
| 117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
| 118 | }, | 159 | }, | ||
| 119 | { | 160 | { | ||
| 120 | "display_name": "image dataset", | 161 | "display_name": "image dataset", | ||
| 121 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | 162 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | ||
| 122 | "name": "image dataset", | 163 | "name": "image dataset", | ||
| 123 | "state": "active", | 164 | "state": "active", | ||
| 124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
| 125 | }, | 166 | }, | ||
| 126 | { | 167 | { | ||
| 127 | "display_name": "office dataset", | 168 | "display_name": "office dataset", | ||
| 128 | "id": "eca8b3a9-e935-40a8-9c33-428f61f82d6b", | 169 | "id": "eca8b3a9-e935-40a8-9c33-428f61f82d6b", | ||
| 129 | "name": "office dataset", | 170 | "name": "office dataset", | ||
| 130 | "state": "active", | 171 | "state": "active", | ||
| 131 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
| 132 | } | 173 | } | ||
| 133 | ], | 174 | ], | ||
| 134 | "title": "Office dataset", | 175 | "title": "Office dataset", | ||
| 135 | "type": "dataset", | 176 | "type": "dataset", | ||
| 136 | "version": "" | 177 | "version": "" | ||
| 137 | } | 178 | } |