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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": "Jun Yu",
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  "author": "Jun Yu",
            
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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/10.18653/v1/D19-5627"
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    "https://doi.org/10.18653/v1/D19-5627"
            
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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.1905.07841",
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  "defined_in": "https://doi.org/10.48550/arXiv.1905.07841",
            
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  "doi": "10.57702/xriudzva",
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  "doi": "10.57702/xriudzva",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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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": "Jing Li",
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      "extra_author": "Jing Li",
            
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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": "Zhou Yu",
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      "extra_author": "Zhou Yu",
            
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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": "Qingming Huang",
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      "extra_author": "Qingming Huang",
            
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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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  "id": "b55ff6e8-0c5e-49c7-9281-f8b174aa09f3",
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  "id": "b55ff6e8-0c5e-49c7-9281-f8b174aa09f3",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://cocodataset.org/",
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  "landing_page": "https://cocodataset.org/",
            
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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": "2024-11-25T14:18:37.775582",
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  "metadata_created": "2024-11-25T14:18:37.775582",
            
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  "metadata_modified": "2024-11-25T14:18:37.775588",
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  "metadata_modified": "2024-11-25T14:18:38.182862",
            
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  "name": "mscoco",
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  "name": "mscoco",
            
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  "notes": "MSCOCO is a benchmark dataset for various computer vision 
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  "notes": "MSCOCO is a benchmark dataset for various computer vision 
            
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tasks, including object detection, instance segmentation, and image 
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tasks, including object detection, instance segmentation, and image 
            
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captioning. It contains 83k training images, 40k validation images, 
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captioning. It contains 83k training images, 40k validation images, 
            
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and 81k test images, each associated with five captions.",
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and 81k test images, each associated with five captions.",
            
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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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    "image_url": "",
            
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    "is_organization": true,
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    "state": "active",
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    "state": "active",
            
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    "title": "No Organization",
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    "title": "No Organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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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": "2024-11-25T15:17:21",
            
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      "data": [
            
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        "dcterms:title",
            
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        "mls:task",
            
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        "datacite:isDescribedBy"
            
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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": "511c108d-363f-40d6-a359-bf9e7dd5bf02",
            
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      "last_modified": "2024-11-25T14:18:38.176082",
            
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      "metadata_modified": "2024-11-25T14:18:38.185677",
            
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      "mimetype": "application/json",
            
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      "mimetype_inner": null,
            
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      "name": "Original Metadata",
            
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      "package_id": "b55ff6e8-0c5e-49c7-9281-f8b174aa09f3",
            
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      "size": 1076,
            
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      "state": "active",
            
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      "url": 
            
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resource/511c108d-363f-40d6-a359-bf9e7dd5bf02/download/metadata.json",
            
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      "url_type": "upload"
            
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    }
            
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  "services_used_list": "",
            
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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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  "title": "MSCOCO",
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  "title": "MSCOCO",
            
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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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}