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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Arman Kazemi",
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  "author": "Arman Kazemi",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1711.02679",
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    "https://doi.org/10.48550/arXiv.1711.02679",
            
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    "https://doi.org/10.48550/arXiv.2005.08482",
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    "https://doi.org/10.48550/arXiv.2005.08482",
            
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    "https://doi.org/10.48550/arXiv.2103.00694"
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    "https://doi.org/10.48550/arXiv.2103.00694"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2011.07095",
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  "defined_in": "https://doi.org/10.48550/arXiv.2011.07095",
            
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  "doi": "10.57702/jp2k7lbz",
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  "doi": "10.57702/jp2k7lbz",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Mohammad Mehdi Shari",
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      "extra_author": "Mohammad Mehdi Shari",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ann Franchesca Laguna",
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      "extra_author": "Ann Franchesca Laguna",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Franz M\u00a8uller",
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      "extra_author": "Franz M\u00a8uller",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ramin Rajaei",
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      "extra_author": "Ramin Rajaei",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ricardo Olivo",
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      "extra_author": "Ricardo Olivo",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Thomas K\u00a8ampfe",
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      "extra_author": "Thomas K\u00a8ampfe",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Michael Niemier",
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      "extra_author": "Michael Niemier",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "X. Sharon Hu",
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      "extra_author": "X. Sharon Hu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Character Recognition",
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      "display_name": "Character Recognition",
            
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      "id": "43a283ad-f47b-46bc-936c-7ce6ed9571ac",
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      "id": "43a283ad-f47b-46bc-936c-7ce6ed9571ac",
            
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      "image_display_url": "",
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      "name": "character-recognition",
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      "name": "character-recognition",
            
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      "title": "Character Recognition"
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      "title": "Character Recognition"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Computer Vision",
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      "display_name": "Computer Vision",
            
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      "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "computer-vision",
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      "name": "computer-vision",
            
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      "title": "Computer Vision"
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      "title": "Computer Vision"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Handwritten Character Recognition",
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      "display_name": "Handwritten Character Recognition",
            
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      "id": "4b18ceab-25e5-41a0-8549-8117c53d5b18",
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      "id": "4b18ceab-25e5-41a0-8549-8117c53d5b18",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "handwritten-character-recognition",
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      "name": "handwritten-character-recognition",
            
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      "title": "Handwritten Character Recognition"
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      "title": "Handwritten Character Recognition"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Image Clustering",
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      "display_name": "Image Clustering",
            
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      "id": "3b3b3fc9-f8fa-43a8-9121-c1d96e867915",
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      "id": "3b3b3fc9-f8fa-43a8-9121-c1d96e867915",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "image-clustering",
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      "name": "image-clustering",
            
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      "title": "Image Clustering"
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      "title": "Image Clustering"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "696fd781-4aac-4e53-9eae-2e8d57443135",
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  "id": "696fd781-4aac-4e53-9eae-2e8d57443135",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://www.omniglot.com/omniglot/datasets.html",
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  "landing_page": "https://www.omniglot.com/omniglot/datasets.html",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-02T17:41:47.643568",
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  "metadata_created": "2024-12-02T17:41:47.643568",
            
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  "metadata_modified": "2024-12-02T23:08:43.700285",
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  "metadata_modified": "2024-12-02T23:08:44.822637",
            
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  "name": "omniglot-dataset",
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  "name": "omniglot-dataset",
            
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  "notes": "The Omniglot dataset consists of 100 classes, each 
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  "notes": "The Omniglot dataset consists of 100 classes, each 
            
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containing 20 images. Ten images were taken from each class for 
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containing 20 images. Ten images were taken from each class for 
            
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augmentation, and the rest were used as the test set. Each image can 
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augmentation, and the rest were used as the test set. Each image can 
            
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generate 2004 new images by the ND-MLS method, so 2 million images 
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generate 2004 new images by the ND-MLS method, so 2 million images 
            
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were used for the training model.",
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were used for the training model.",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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    "description": "",
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    "description": "",
            
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "image_url": "",
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    "state": "active",
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    "state": "active",
            
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    "type": "organization"
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    "type": "organization"
            
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_subject": [],
            
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  "resources": [],
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  "resources": [
            
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    {
            
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      "cache_last_updated": null,
            
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      "created": "2024-12-02T22:29:38",
            
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      "data": [
            
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        "dcterms:title",
            
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      ],
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "4e79bf45-5401-4767-a82c-7dad2b1e6eb8",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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      "size": 1406,
            
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      "state": "active",
            
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      "url": 
            
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      "url_type": "upload"
            
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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      "display_name": "Computer Vision",
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      "display_name": "Computer Vision",
            
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      "name": "Computer Vision",
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      "display_name": "Handwritten Characters",
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      "display_name": "Handwritten Characters",
            
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      "name": "Handwritten Characters",
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    {
            
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      "display_name": "Omniglot dataset",
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      "display_name": "Omniglot dataset",
            
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      "id": "98187cf8-0423-474e-8e83-efa93672c7f5",
            
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      "name": "Omniglot dataset",
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      "name": "Omniglot dataset",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "alphabets",
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      "display_name": "alphabets",
            
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      "id": "bdcccd49-d106-4f4c-a706-355238cc67ee",
            
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      "name": "alphabets",
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      "vocabulary_id": null
            
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    },
            
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    {
            
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      "display_name": "character recognition",
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      "display_name": "character recognition",
            
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      "id": "257226b8-77cb-488a-aebb-098f51b6afe3",
            
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      "name": "character recognition",
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    },
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    },
            
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    {
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    {
            
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      "display_name": "cluster evaluation",
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      "display_name": "cluster evaluation",
            
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      "id": "b707c952-02ca-4d14-a2eb-6326bcac71eb",
            
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      "name": "cluster evaluation",
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      "name": "cluster evaluation",
            
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      "state": "active",
            
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      "id": "a09970d2-bd88-458b-9d55-6ceb4f7e7017",
            
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      "name": "data augmentation",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "handwritten characters",
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      "display_name": "handwritten characters",
            
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      "id": "8c9c78a9-b022-4404-b1cc-ccc3803703fe",
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      "id": "8c9c78a9-b022-4404-b1cc-ccc3803703fe",
            
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      "name": "handwritten characters",
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      "name": "handwritten characters",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "image clustering",
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      "display_name": "image clustering",
            
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      "id": "15ad3faf-d8da-40c7-a4e8-dd9ee85d44a8",
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      "id": "15ad3faf-d8da-40c7-a4e8-dd9ee85d44a8",
            
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      "name": "image clustering",
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      "name": "image clustering",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Omniglot dataset",
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  "title": "Omniglot dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}