Changes

On December 3, 2024 at 10:02:32 AM UTC, admin:
Changed title to UCI datasets (previously UCI Datasets)
Set author of UCI datasets to Michal Lisicki (previously Mohammad J. Saberian)
Updated description of UCI datasets from
The dataset consists of UCI datasets used to evaluate the performance of multiclass boosting methods using decision stumps and trees of max depth 2.
to
The dataset used in the paper is a set of UCI datasets, including adult, census, covertype, financial, joke, mushroom, and statlog.
Added the following tags to UCI datasets
Changed value of field defined_in to https://doi.org/10.48550/arXiv.1411.0939 in UCI datasets
Changed value of field citation to ['https://doi.org/10.48550/arXiv.1711.07076', 'https://doi.org/10.48550/arXiv.2006.12871'] in UCI datasets
Changed value of field landing_page to https://archive.ics.uci.edu/ml/datasets.html in UCI datasets
Changed value of field extra_authors to [{'extra_author': 'Arash Afkanpour', 'orcid': ''}, {'extra_author': 'Graham W. Taylor', 'orcid': ''}] in UCI datasets
Deleted resource Original Metadata from UCI datasets
              
    
          
          
        
        
            f 1 { f 1 {
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            n 3   "author": "Mohammad J. Saberian", n 3   "author": "Michal Lisicki",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
            6     "https://doi.org/10.48550/arXiv.1711.07076",
            7     "https://doi.org/10.48550/arXiv.2006.12871"
            8   ],
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            n 7   "defined_in": "", n 10   "defined_in": "https://doi.org/10.48550/arXiv.1411.0939",
            8   "doi": "10.57702/po4xlf0a", 11   "doi": "10.57702/po4xlf0a",
            9   "doi_date_published": "2024-11-25", 12   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 13   "doi_publisher": "TIB",
            11   "doi_status": true, 14   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 15   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 16   "extra_authors": [
            14     { 17     {
            n 15       "extra_author": "Nuno Vasconcelos", n 18       "extra_author": "Arash Afkanpour",
            19       "orcid": ""
            20     },
            21     {
            22       "extra_author": "Graham W. Taylor",
            16       "orcid": "" 23       "orcid": ""
            17     } 24     }
            18   ], 25   ],
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            31       "image_display_url": "",
            32       "name": "bandits",
            33       "title": "Bandits"
            34     },
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            37       "display_name": "Clustering",
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            39       "image_display_url": "",
            40       "name": "clustering",
            41       "title": "Clustering"
            42     },
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            47       "image_display_url": "",
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            49       "title": "Fairness in machine learning"
            50     },
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            53       "display_name": "Machine Learning",
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            57       "title": "Machine Learning"
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            63       "image_display_url": "",
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            65       "title": "Missing Data"
            66     }
            67   ],
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            21   "isopen": false, 69   "isopen": false,
            n 22   "landing_page": "", n 70   "landing_page": "https://archive.ics.uci.edu/ml/datasets.html",
            23   "license_title": null, 71   "license_title": null,
            24   "link_orkg": "", 72   "link_orkg": "",
            25   "metadata_created": "2024-11-25T14:58:45.412839", 73   "metadata_created": "2024-11-25T14:58:45.412839",
            n 26   "metadata_modified": "2024-11-25T14:58:45.761572", n 74   "metadata_modified": "2024-12-03T10:02:31.435160",
            27   "name": "uci-datasets", 75   "name": "uci-datasets",
            n 28   "notes": "The dataset consists of UCI datasets used to evaluate the  n 76   "notes": "The dataset used in the paper is a set of UCI datasets, 
            29 performance of multiclass boosting methods using decision stumps and  77 including adult, census, covertype, financial, joke, mushroom, and 
            30 trees of max depth 2.", 78 statlog.",
            31   "num_resources": 1, 79   "num_resources": 0,
            32   "num_tags": 0, 80   "num_tags": 10,
            33   "organization": { 81   "organization": {
            34     "approval_status": "approved", 82     "approval_status": "approved",
            35     "created": "2024-11-25T12:11:38.292601", 83     "created": "2024-11-25T12:11:38.292601",
            36     "description": "", 84     "description": "",
            37     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 85     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            38     "image_url": "", 86     "image_url": "",
            39     "is_organization": true, 87     "is_organization": true,
            40     "name": "no-organization", 88     "name": "no-organization",
            41     "state": "active", 89     "state": "active",
            42     "title": "No Organization", 90     "title": "No Organization",
            43     "type": "organization" 91     "type": "organization"
            44   }, 92   },
            45   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 93   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            46   "private": false, 94   "private": false,
            47   "relationships_as_object": [], 95   "relationships_as_object": [],
            48   "relationships_as_subject": [], 96   "relationships_as_subject": [],
            n 49   "resources": [ n 97   "resources": [],
            98   "services_used_list": "",
            99   "state": "active",
            100   "tags": [
            50     { 101     {
            n 51       "cache_last_updated": null, n 102       "display_name": "Accuracy",
            52       "cache_url": null, 103       "id": "fef81bf5-75e9-4318-9f62-d80896121e69",
            53       "created": "2024-11-25T15:30:26", 104       "name": "Accuracy",
            54       "data": [ 
            55         "dcterms:title", 
            56         "dcterms:accessRights", 
            57         "dcterms:creator", 
            58         "dcterms:description", 
            59         "dcterms:issued", 
            60         "dcterms:language", 
            61         "dcterms:identifier", 
            62         "dcat:theme", 
            63         "dcterms:type", 
            64         "dcat:keyword", 
            65         "dcat:landingPage", 
            66         "dcterms:hasVersion", 
            67         "dcterms:format", 
            68         "mls:task" 
            69       ], 
            70       "description": "The json representation of the dataset with its  
            71 distributions based on DCAT.", 
            72       "format": "JSON", 
            73       "hash": "", 
            74       "id": "b0e70dee-4e98-4a5f-a9af-163a376663e1", 
            75       "last_modified": "2024-11-25T14:58:45.754836", 
            76       "metadata_modified": "2024-11-25T14:58:45.764550", 
            77       "mimetype": "application/json", 
            78       "mimetype_inner": null, 
            79       "name": "Original Metadata", 
            80       "package_id": "e0ea62c6-67ea-4a1b-b405-9e413a205835", 
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            82       "resource_type": null, 
            83       "size": 686, 
            84       "state": "active", 105       "state": "active",
            n 85       "url":  n 106       "vocabulary_id": null
            86 resource/b0e70dee-4e98-4a5f-a9af-163a376663e1/download/metadata.json", 107     },
            87       "url_type": "upload" 108     {
            109       "display_name": "Clustering",
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            111       "name": "Clustering",
            112       "state": "active",
            113       "vocabulary_id": null
            114     },
            115     {
            116       "display_name": "Contextual bandits",
            117       "id": "54230c0a-57a3-4b25-89e7-451d8bf64c63",
            118       "name": "Contextual bandits",
            119       "state": "active",
            120       "vocabulary_id": null
            121     },
            122     {
            123       "display_name": "Fairness",
            124       "id": "c12521f8-dc9c-4a84-9bd5-5dae7ab1c705",
            125       "name": "Fairness",
            126       "state": "active",
            127       "vocabulary_id": null
            128     },
            129     {
            130       "display_name": "Machine Learning",
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            132       "name": "Machine Learning",
            133       "state": "active",
            134       "vocabulary_id": null
            135     },
            136     {
            137       "display_name": "Machine learning",
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            140       "state": "active",
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            142     },
            143     {
            144       "display_name": "Missing Not at Random",
            145       "id": "f025ea90-9b69-46f3-bca9-b885b86e8e71",
            146       "name": "Missing Not at Random",
            147       "state": "active",
            148       "vocabulary_id": null
            149     },
            150     {
            151       "display_name": "Multiple datasets",
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            153       "name": "Multiple datasets",
            154       "state": "active",
            155       "vocabulary_id": null
            156     },
            157     {
            158       "display_name": "UCI",
            159       "id": "829c89c8-b631-4ab2-9546-b4639a4382b1",
            160       "name": "UCI",
            161       "state": "active",
            162       "vocabulary_id": null
            163     },
            164     {
            165       "display_name": "UCI datasets",
            166       "id": "b8b3af95-fd35-452b-be18-4228ca95ab50",
            167       "name": "UCI datasets",
            168       "state": "active",
            169       "vocabulary_id": null
            88     } 170     }
            89   ], 171   ],
            t 90   "services_used_list": "", t 
            91   "state": "active", 
            92   "tags": [], 
            93   "title": "UCI Datasets", 172   "title": "UCI datasets",
            94   "type": "dataset", 173   "type": "dataset",
            95   "version": "" 174   "version": ""
            96 } 175 }