Changes

On December 2, 2024 at 5:43:25 PM UTC, admin:
Updated description of Fashion-MNIST from
Fashion-MNIST is a dataset of Zalando's article images, intended as a drop-in replacement for the MNIST dataset for benchmarking machine learning algorithms.
to
Deep learning models often raise privacy concerns as they leak information about their training data. This enables an adversary to determine whether a data point was in a model’s training set by conducting a membership inference attack (MIA).
Added the following tags to Fashion-MNIST
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2002.04829 in Fashion-MNIST
Changed value of field landing_page to https://fashion-mnist.s3.eu-west-2.amazonaws.com/ in Fashion-MNIST
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2404.10296', 'https://doi.org/10.1016/j.ins.2024.120500', 'https://doi.org/10.48550/arXiv.2105.06246', 'https://doi.org/10.48550/arXiv.2206.12342', 'https://doi.org/10.48550/arXiv.2310.03398', 'https://doi.org/10.48550/arXiv.2308.16665', 'https://doi.org/10.48550/arXiv.1805.07674', 'https://doi.org/10.48550/arXiv.1909.03388', 'https://doi.org/10.48550/arXiv.2310.03833', 'https://doi.org/10.48550/arXiv.1912.03049', 'https://doi.org/10.48550/arXiv.2008.09845', 'https://doi.org/10.48550/arXiv.1908.03015', 'https://doi.org/10.48550/arXiv.2004.03749', 'https://doi.org/10.48550/arXiv.2403.03149', 'https://doi.org/10.48550/arXiv.1805.05269', 'https://doi.org/10.48550/arXiv.1804.06537', 'https://doi.org/10.48550/arXiv.1904.10596', 'https://doi.org/10.48550/arXiv.2308.00307', 'https://doi.org/10.5121/csit.2021.110708', 'https://doi.org/10.48550/arXiv.2006.12456', 'https://doi.org/10.48550/arXiv.1811.08484', 'https://doi.org/10.48550/arXiv.2106.10704', 'https://doi.org/10.48550/arXiv.2305.08753', 'https://doi.org/10.48550/arXiv.2201.08022', 'https://doi.org/10.48550/arXiv.2402.16294', 'https://doi.org/10.48550/arXiv.2103.08074', 'https://doi.org/10.48550/arXiv.2309.01532', 'https://doi.org/10.48550/arXiv.2305.17644', 'https://doi.org/10.48550/arXiv.1710.07138', 'https://doi.org/10.48550/arXiv.1907.09750', 'https://doi.org/10.48550/arXiv.2103.10252', 'https://doi.org/10.1109/VIS54172.2023.00058', 'https://doi.org/10.48550/arXiv.1903.09171', 'https://doi.org/10.1587/transinf.2022EDL8098', 'https://doi.org/10.48550/arXiv.1912.01530', 'https://doi.org/10.48550/arXiv.2006.09654', 'https://doi.org/10.48550/arXiv.2009.07360', 'https://doi.org/10.48550/arXiv.1908.01052', 'https://doi.org/10.48550/arXiv.1906.11632', 'https://doi.org/10.48550/arXiv.2011.05578', 'https://doi.org/10.48550/arXiv.2207.05902', 'https://doi.org/10.48550/arXiv.2302.01500', 'https://doi.org/10.1109/ICMLA.2019.00125', 'https://doi.org/10.48550/arXiv.2006.05336', 'https://doi.org/10.48550/arXiv.2306.05256', 'https://doi.org/10.48550/arXiv.1902.04697', 'https://doi.org/10.48550/arXiv.2012.07399', 'https://doi.org/10.48550/arXiv.2204.08453', 'https://doi.org/10.48550/arXiv.2309.06652', 'https://doi.org/10.48550/arXiv.1905.09523', 'https://doi.org/10.1109/IJCNN52387.2021.9533862', 'https://doi.org/10.48550/arXiv.2112.06832', 'https://doi.org/10.48550/arXiv.2004.02581', 'https://doi.org/10.48550/arXiv.2301.06957', 'https://doi.org/10.48550/arXiv.2111.15099', 'https://doi.org/10.48550/arXiv.1806.03796', 'https://doi.org/10.48550/arXiv.1910.02760', 'https://doi.org/10.48550/arXiv.2207.09531', 'https://doi.org/10.48550/arXiv.1902.08297', 'https://doi.org/10.48550/arXiv.2205.15523', 'https://doi.org/10.1016/j.array.2022.100182', 'https://doi.org/10.1109/TII.2022.3170348', 'https://doi.org/10.48550/arXiv.2006.04535', 'https://doi.org/10.1109/LSP.2019.2915661', 'https://doi.org/10.48550/arXiv.2205.02887', 'https://doi.org/10.48550/arXiv.2107.12547', 'https://doi.org/10.48550/arXiv.2102.10749', 'https://doi.org/10.48550/arXiv.2306.05497'] in Fashion-MNIST
Changed value of field extra_authors to [{'extra_author': 'Kashif Rasul', 'orcid': ''}, {'extra_author': 'Roland Vollgraf', 'orcid': ''}] in Fashion-MNIST
Deleted resource Original Metadata from Fashion-MNIST
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            3   "author": "Han Xiao", 3   "author": "Han Xiao",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
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            39     "https://doi.org/10.1587/transinf.2022EDL8098",
            40     "https://doi.org/10.48550/arXiv.1912.01530",
            41     "https://doi.org/10.48550/arXiv.2006.09654",
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            47     "https://doi.org/10.48550/arXiv.2302.01500",
            48     "https://doi.org/10.1109/ICMLA.2019.00125",
            49     "https://doi.org/10.48550/arXiv.2006.05336",
            50     "https://doi.org/10.48550/arXiv.2306.05256",
            51     "https://doi.org/10.48550/arXiv.1902.04697",
            52     "https://doi.org/10.48550/arXiv.2012.07399",
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            54     "https://doi.org/10.48550/arXiv.2309.06652",
            55     "https://doi.org/10.48550/arXiv.1905.09523",
            56     "https://doi.org/10.1109/IJCNN52387.2021.9533862",
            57     "https://doi.org/10.48550/arXiv.2112.06832",
            58     "https://doi.org/10.48550/arXiv.2004.02581",
            59     "https://doi.org/10.48550/arXiv.2301.06957",
            60     "https://doi.org/10.48550/arXiv.2111.15099",
            61     "https://doi.org/10.48550/arXiv.1806.03796",
            62     "https://doi.org/10.48550/arXiv.1910.02760",
            63     "https://doi.org/10.48550/arXiv.2207.09531",
            64     "https://doi.org/10.48550/arXiv.1902.08297",
            65     "https://doi.org/10.48550/arXiv.2205.15523",
            66     "https://doi.org/10.1016/j.array.2022.100182",
            67     "https://doi.org/10.1109/TII.2022.3170348",
            68     "https://doi.org/10.48550/arXiv.2006.04535",
            69     "https://doi.org/10.1109/LSP.2019.2915661",
            70     "https://doi.org/10.48550/arXiv.2205.02887",
            71     "https://doi.org/10.48550/arXiv.2107.12547",
            72     "https://doi.org/10.48550/arXiv.2102.10749",
            73     "https://doi.org/10.48550/arXiv.2306.05497"
            74   ],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 75   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "https://doi.org/10.48550/arXiv.1909.09801", n 76   "defined_in": "https://doi.org/10.48550/arXiv.2002.04829",
            8   "doi": "10.57702/09tnix2m", 77   "doi": "10.57702/09tnix2m",
            9   "doi_date_published": "2024-11-25", 78   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 79   "doi_publisher": "TIB",
            11   "doi_status": true, 80   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 81   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 82   "extra_authors": [
            14     { 83     {
            n 15       "extra_author": "K. Rasul", n 84       "extra_author": "Kashif Rasul",
            16       "orcid": "" 85       "orcid": ""
            17     }, 86     },
            18     { 87     {
            n 19       "extra_author": "R. Vollgraf", n 88       "extra_author": "Roland Vollgraf",
            20       "orcid": "" 89       "orcid": ""
            21     } 90     }
            22   ], 91   ],
            n 23   "groups": [], n 92   "groups": [
            93     {
            94       "description": "",
            95       "display_name": "Clustering",
            96       "id": "20ed4da8-7a35-429f-92a0-c7f30914289f",
            97       "image_display_url": "",
            98       "name": "clustering",
            99       "title": "Clustering"
            100     },
            101     {
            102       "description": "",
            103       "display_name": "Data Analysis",
            104       "id": "35c3e6f8-4eea-4811-a1f6-66c5ba164f17",
            105       "image_display_url": "",
            106       "name": "data-analysis",
            107       "title": "Data Analysis"
            108     },
            109     {
            110       "description": "",
            111       "display_name": "Data Generation",
            112       "id": "6339ea07-5bd0-4086-b3da-8574560dfd06",
            113       "image_display_url": "",
            114       "name": "data-generation",
            115       "title": "Data Generation"
            116     },
            117     {
            118       "description": "",
            119       "display_name": "Data-driven SFCs",
            120       "id": "44088a78-703e-4d7e-a3f7-ce2a6eb7fc15",
            121       "image_display_url": "",
            122       "name": "data-driven-sfcs",
            123       "title": "Data-driven SFCs"
            124     },
            125     {
            126       "description": "",
            127       "display_name": "Fashion Image Classification",
            128       "id": "277eb4df-0ba0-49de-9a84-271a0215b744",
            129       "image_display_url": "",
            130       "name": "fashion-image-classification",
            131       "title": "Fashion Image Classification"
            132     },
            133     {
            134       "description": "",
            135       "display_name": "Fashion Image Clustering",
            136       "id": "9b23962d-57a5-4a67-b002-4072e64eef89",
            137       "image_display_url": "",
            138       "name": "fashion-image-clustering",
            139       "title": "Fashion Image Clustering"
            140     },
            141     {
            142       "description": "",
            143       "display_name": "Fashion Image Recognition",
            144       "id": "d1c2672a-574c-48c9-8e74-b6e5ec173573",
            145       "image_display_url": "",
            146       "name": "fashion-image-recognition",
            147       "title": "Fashion Image Recognition"
            148     },
            149     {
            150       "description": "",
            151       "display_name": "Fashion Images",
            152       "id": "3b42fdf9-32c6-4685-b1cb-465ac9fc72e6",
            153       "image_display_url": "",
            154       "name": "fashion-images",
            155       "title": "Fashion Images"
            156     },
            157     {
            158       "description": "",
            159       "display_name": "Fashion Products",
            160       "id": "b442bece-3635-47dd-893c-8a0e8187bd45",
            161       "image_display_url": "",
            162       "name": "fashion-products",
            163       "title": "Fashion Products"
            164     },
            165     {
            166       "description": "",
            167       "display_name": "Image Classification",
            168       "id": "18b77292-26aa-4caf-89ed-cbd35fa60474",
            169       "image_display_url": "",
            170       "name": "image-classification",
            171       "title": "Image Classification"
            172     },
            173     {
            174       "description": "",
            175       "display_name": "Image Compression",
            176       "id": "094941e1-ba8a-4742-a18e-4da139345758",
            177       "image_display_url": "",
            178       "name": "image-compression",
            179       "title": "Image Compression"
            180     },
            181     {
            182       "description": "",
            183       "display_name": "Image Dataset",
            184       "id": "fc745cca-b21e-4ced-ba81-06a456938edf",
            185       "image_display_url": "",
            186       "name": "image-dataset",
            187       "title": "Image Dataset"
            188     },
            189     {
            190       "description": "",
            191       "display_name": "Image Generation",
            192       "id": "be25a76c-def1-4e73-8b1c-b81222d63867",
            193       "image_display_url": "",
            194       "name": "image-generation",
            195       "title": "Image Generation"
            196     },
            197     {
            198       "description": "",
            199       "display_name": "Image Reconstruction",
            200       "id": "a5660c19-3526-4e91-a26d-cf3cd40fe985",
            201       "image_display_url": "",
            202       "name": "image-reconstruction",
            203       "title": "Image Reconstruction"
            204     },
            205     {
            206       "description": "",
            207       "display_name": "Image Synthesis",
            208       "id": "8b89ca6b-96f7-439b-8045-febd38230620",
            209       "image_display_url": "",
            210       "name": "image-synthesis",
            211       "title": "Image Synthesis"
            212     },
            213     {
            214       "description": "",
            215       "display_name": "Images",
            216       "id": "45883730-52c6-44ac-bea8-d50c9cbc8882",
            217       "image_display_url": "",
            218       "name": "images",
            219       "title": "Images"
            220     },
            221     {
            222       "description": "",
            223       "display_name": "Mode Coverage",
            224       "id": "e7e4eaf4-2fca-4d0e-a157-5a45ff96feca",
            225       "image_display_url": "",
            226       "name": "mode-coverage",
            227       "title": "Mode Coverage"
            228     },
            229     {
            230       "description": "",
            231       "display_name": "Object Detection",
            232       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20",
            233       "image_display_url": "",
            234       "name": "object-detection",
            235       "title": "Object Detection"
            236     },
            237     {
            238       "description": "",
            239       "display_name": "Regression",
            240       "id": "36d9eacb-af2f-490b-a390-0dffafc2b613",
            241       "image_display_url": "",
            242       "name": "regression",
            243       "title": "Regression"
            244     }
            245   ],
            24   "id": "e2ec2721-ee1d-4654-a765-bacb94f0b4ff", 246   "id": "e2ec2721-ee1d-4654-a765-bacb94f0b4ff",
            25   "isopen": false, 247   "isopen": false,
            n 26   "landing_page": "https://github.com/zalandoresearch/fashion-mnist", n 248   "landing_page": "https://fashion-mnist.s3.eu-west-2.amazonaws.com/",
            27   "license_title": null, 249   "license_title": null,
            28   "link_orkg": "", 250   "link_orkg": "",
            29   "metadata_created": "2024-11-25T14:21:53.155983", 251   "metadata_created": "2024-11-25T14:21:53.155983",
            n 30   "metadata_modified": "2024-11-25T14:35:20.648703", n 252   "metadata_modified": "2024-12-02T17:43:24.540861",
            31   "name": "fashion-mnist", 253   "name": "fashion-mnist",
            n 32   "notes": "Fashion-MNIST is a dataset of Zalando's article images,  n 254   "notes": "Deep learning models often raise privacy concerns as they 
            33 intended as a drop-in replacement for the MNIST dataset for  255 leak information about their training data. This enables an adversary 
            34 benchmarking machine learning algorithms.", 256 to determine whether a data point was in a model\u2019s training set 
            257 by conducting a membership inference attack (MIA).",
            35   "num_resources": 1, 258   "num_resources": 0,
            36   "num_tags": 0, 259   "num_tags": 65,
            37   "organization": { 260   "organization": {
            38     "approval_status": "approved", 261     "approval_status": "approved",
            39     "created": "2024-11-25T12:11:38.292601", 262     "created": "2024-11-25T12:11:38.292601",
            40     "description": "", 263     "description": "",
            41     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 264     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            42     "image_url": "", 265     "image_url": "",
            43     "is_organization": true, 266     "is_organization": true,
            44     "name": "no-organization", 267     "name": "no-organization",
            45     "state": "active", 268     "state": "active",
            46     "title": "No Organization", 269     "title": "No Organization",
            47     "type": "organization" 270     "type": "organization"
            48   }, 271   },
            49   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 272   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            50   "private": false, 273   "private": false,
            51   "relationships_as_object": [], 274   "relationships_as_object": [],
            52   "relationships_as_subject": [], 275   "relationships_as_subject": [],
            n 53   "resources": [ n 276   "resources": [],
            54     { 277   "services_used_list": "",
            55       "cache_last_updated": null, 
            56       "cache_url": null, 
            57       "created": "2024-11-25T15:30:26", 
            58       "data": [ 
            59         "dcterms:title", 
            60         "dcterms:accessRights", 
            61         "dcterms:creator", 
            62         "dcterms:description", 
            63         "dcterms:issued", 
            64         "dcterms:language", 
            65         "dcterms:identifier", 
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            67         "dcterms:type", 
            68         "dcat:keyword", 
            69         "dcat:landingPage", 
            70         "dcterms:hasVersion", 
            71         "dcterms:format", 
            72         "mls:task", 
            73         "datacite:isDescribedBy" 
            74       ], 
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            76 distributions based on DCAT.", 
            77       "format": "JSON", 
            78       "hash": "", 
            79       "id": "acf10dea-5edc-4364-a672-6cfbdd49e291", 
            80       "last_modified": "2024-11-25T14:35:20.641757", 
            81       "metadata_modified": "2024-11-25T14:35:20.651618", 
            82       "mimetype": "application/json", 
            83       "mimetype_inner": null, 
            84       "name": "Original Metadata", 
            85       "package_id": "e2ec2721-ee1d-4654-a765-bacb94f0b4ff", 
            86       "position": 0, 
            87       "resource_type": null, 
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            89       "state": "active", 278   "state": "active",
            90       "url":  279   "tags": [
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            282       "id": "27184294-34cf-4db9-bd03-124330f0f1ae",
            283       "name": "10 classes",
            284       "state": "active",
            285       "vocabulary_id": null
            286     },
            287     {
            288       "display_name": "28x28 images",
            289       "id": "2695c5dc-b056-48a7-8e82-20b10db74daf",
            290       "name": "28x28 images",
            291       "state": "active",
            292       "vocabulary_id": null
            293     },
            294     {
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            296       "id": "4549dd6c-375d-47b7-bf42-62c970a579b0",
            297       "name": "Clothing",
            298       "state": "active",
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            305       "state": "active",
            306       "vocabulary_id": null
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            308     {
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            310       "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e",
            311       "name": "Computer Vision",
            312       "state": "active",
            313       "vocabulary_id": null
            314     },
            315     {
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            317       "id": "82ecaa33-5339-4a11-81a4-c54e2f9ffe09",
            318       "name": "Data Analysis",
            319       "state": "active",
            320       "vocabulary_id": null
            321     },
            322     {
            323       "display_name": "Dataset",
            324       "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b",
            325       "name": "Dataset",
            326       "state": "active",
            327       "vocabulary_id": null
            328     },
            329     {
            330       "display_name": "Deep Learning",
            331       "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            332       "name": "Deep Learning",
            333       "state": "active",
            334       "vocabulary_id": null
            335     },
            336     {
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            338       "id": "60b92d10-0ed2-47a6-9b9d-12224d07e8f4",
            339       "name": "Fashion",
            340       "state": "active",
            341       "vocabulary_id": null
            342     },
            343     {
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            345       "id": "503016d4-b9f9-42e7-b2ca-5e6e7790cffb",
            346       "name": "Fashion Image Classification",
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            348       "vocabulary_id": null
            349     },
            350     {
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            355       "vocabulary_id": null
            356     },
            357     {
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            360       "name": "Fashion Images",
            361       "state": "active",
            362       "vocabulary_id": null
            363     },
            364     {
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            367       "name": "Fashion MNIST",
            368       "state": "active",
            369       "vocabulary_id": null
            370     },
            371     {
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            373       "id": "4b81d71c-001e-40c5-9cfb-25b904185b27",
            374       "name": "Fashion Products",
            375       "state": "active",
            376       "vocabulary_id": null
            377     },
            378     {
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            381       "name": "Fashion Recognition",
            382       "state": "active",
            383       "vocabulary_id": null
            384     },
            385     {
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            388       "name": "Fashion images",
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            391     },
            392     {
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            397       "vocabulary_id": null
            398     },
            399     {
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            402       "name": "Fashion-MNIST",
            403       "state": "active",
            404       "vocabulary_id": null
            405     },
            406     {
            407       "display_name": "Fashion-MNIST Dataset",
            408       "id": "15a8a1c6-f72d-495c-9cba-cd62021cc55c",
            409       "name": "Fashion-MNIST Dataset",
            410       "state": "active",
            411       "vocabulary_id": null
            412     },
            413     {
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            418       "vocabulary_id": null
            419     },
            420     {
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            423       "name": "Handwritten Digits",
            424       "state": "active",
            425       "vocabulary_id": null
            426     },
            427     {
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            430       "name": "Handwritten digits",
            431       "state": "active",
            432       "vocabulary_id": null
            433     },
            434     {
            435       "display_name": "Image Classification",
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            437       "name": "Image Classification",
            438       "state": "active",
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            440     },
            441     {
            442       "display_name": "Image Clustering",
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            444       "name": "Image Clustering",
            445       "state": "active",
            446       "vocabulary_id": null
            447     },
            448     {
            449       "display_name": "Image Compression",
            450       "id": "9319a62c-672c-4d44-a6ef-7d18ec5ba2b7",
            451       "name": "Image Compression",
            452       "state": "active",
            453       "vocabulary_id": null
            454     },
            455     {
            456       "display_name": "Image Dataset",
            457       "id": "51aed645-6dd9-4e08-894a-10944ecefd8b",
            458       "name": "Image Dataset",
            459       "state": "active",
            460       "vocabulary_id": null
            461     },
            462     {
            463       "display_name": "Image Reconstruction",
            464       "id": "58a95e75-15cc-4634-ba1c-d89302691ee4",
            465       "name": "Image Reconstruction",
            466       "state": "active",
            467       "vocabulary_id": null
            468     },
            469     {
            470       "display_name": "Image Synthesis",
            471       "id": "8977f03a-9e9f-411c-8e92-d17f6dc7a823",
            472       "name": "Image Synthesis",
            473       "state": "active",
            474       "vocabulary_id": null
            475     },
            476     {
            477       "display_name": "Image classification",
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            479       "name": "Image classification",
            480       "state": "active",
            481       "vocabulary_id": null
            482     },
            483     {
            484       "display_name": "Images",
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            486       "name": "Images",
            487       "state": "active",
            488       "vocabulary_id": null
            489     },
            490     {
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            493       "name": "Label Noise",
            494       "state": "active",
            495       "vocabulary_id": null
            496     },
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            503     },
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            508       "state": "active",
            509       "vocabulary_id": null
            510     },
            511     {
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            514       "name": "Machine learning benchmark",
            515       "state": "active",
            516       "vocabulary_id": null
            517     },
            518     {
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            521       "name": "Multiclass Learning",
            522       "state": "active",
            523       "vocabulary_id": null
            524     },
            525     {
            526       "display_name": "Neural Networks",
            527       "id": "b8e60d98-1c66-40d1-b944-74216c2bd378",
            528       "name": "Neural Networks",
            529       "state": "active",
            530       "vocabulary_id": null
            531     },
            532     {
            533       "display_name": "Space-filling Curves",
            534       "id": "54385023-c9d2-4f31-81b0-ef0d06ba4cdb",
            535       "name": "Space-filling Curves",
            536       "state": "active",
            537       "vocabulary_id": null
            538     },
            539     {
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            544       "vocabulary_id": null
            545     },
            546     {
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            574     {
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            658     {
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            664     },
            665     {
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            701       "display_name": "mnist",
            702       "id": "dcd90d91-b7f1-4680-a134-11d322bf169e",
            703       "name": "mnist",
            704       "state": "active",
            705       "vocabulary_id": null
            706     },
            707     {
            708       "display_name": "mode coverage",
            709       "id": "f78a7750-6225-4cd8-a2d1-cb89727fe716",
            710       "name": "mode coverage",
            711       "state": "active",
            712       "vocabulary_id": null
            713     },
            714     {
            715       "display_name": "novel dataset",
            716       "id": "fcda8944-7908-4675-b981-2829050d5349",
            717       "name": "novel dataset",
            718       "state": "active",
            719       "vocabulary_id": null
            720     },
            721     {
            722       "display_name": "object detection",
            723       "id": "607283c7-9e12-4167-9101-7f8078fb6537",
            724       "name": "object detection",
            725       "state": "active",
            726       "vocabulary_id": null
            727     },
            728     {
            729       "display_name": "regression",
            730       "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b",
            731       "name": "regression",
            732       "state": "active",
            733       "vocabulary_id": null
            93     } 734     }
            94   ], 735   ],
            t 95   "services_used_list": "", t 
            96   "state": "active", 
            97   "tags": [], 
            98   "title": "Fashion-MNIST", 736   "title": "Fashion-MNIST",
            99   "type": "dataset", 737   "type": "dataset",
            100   "version": "" 738   "version": ""
            101 } 739 }