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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Gan Sun",
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  "author": "Gan Sun",
            
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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.2309.04430"
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    "https://doi.org/10.48550/arXiv.2309.04430"
            
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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.2407.06642",
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  "defined_in": "https://doi.org/10.48550/arXiv.2407.06642",
            
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  "doi": "10.57702/xqlasah6",
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  "doi": "10.57702/xqlasah6",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Wenqi Liang",
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      "extra_author": "Wenqi Liang",
            
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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": "Jiahua Dong",
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      "extra_author": "Jiahua Dong",
            
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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": "Jun Li",
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      "extra_author": "Jun 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": "Zhengming Ding",
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      "extra_author": "Zhengming Ding",
            
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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": "Yang Cong",
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      "extra_author": "Yang Cong",
            
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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": "Text-to-Image Generation",
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      "display_name": "Text-to-Image Generation",
            
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      "id": "ab1f94b9-0eb3-49c0-9b24-b6a4eaefbc90",
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      "id": "ab1f94b9-0eb3-49c0-9b24-b6a4eaefbc90",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "text-to-image-generation",
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      "name": "text-to-image-generation",
            
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      "title": "Text-to-Image Generation"
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      "title": "Text-to-Image Generation"
            
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    }
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    }
            
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  ],
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  "landing_page": "https://wenqiliang.github.io/",
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  "landing_page": "https://wenqiliang.github.io/",
            
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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": "2024-12-16T18:09:16.078491",
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  "metadata_created": "2024-12-16T18:09:16.078491",
            
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  "metadata_modified": "2024-12-16T18:09:16.078497",
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  "metadata_modified": "2024-12-16T18:09:16.524785",
            
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  "name": "custom-diffusion",
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  "name": "custom-diffusion",
            
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  "notes": "The dataset used in this paper is a large-scale 
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  "notes": "The dataset used in this paper is a large-scale 
            
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text-to-image diffusion model, which consists of 35 subjects with 
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text-to-image diffusion model, which consists of 35 subjects with 
            
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unique pets and objects.",
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unique pets and objects.",
            
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  "num_resources": 0,
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  "num_resources": 1,
            
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  "num_tags": 6,
            
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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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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "image_url": "",
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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_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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      "created": "2024-12-16T18:25:33",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "7ba49753-6726-4e66-a61e-a2ae72889f88",
            
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      "last_modified": "2024-12-16T18:09:16.516138",
            
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  "tags": [
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  "tags": [
            
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    {
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      "display_name": "Diffusion Models",
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      "id": "eeac2127-6785-445b-b887-a5f3975fc676",
            
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    },
            
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    {
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    {
            
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      "display_name": "Text-to-Image Generation",
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      "display_name": "Text-to-Image Generation",
            
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      "name": "Text-to-Image Generation",
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      "name": "Text-to-Image Generation",
            
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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": "custom dataset",
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      "display_name": "custom dataset",
            
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      "id": "8cfb1138-bedb-44ff-a2f3-1d29bd9210d6",
            
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      "name": "custom dataset",
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      "name": "custom dataset",
            
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      "state": "active",
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      "state": "active",
            
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    },
            
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    {
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    {
            
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      "display_name": "diffusion model",
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      "display_name": "diffusion model",
            
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      "id": "d3eef66c-20d5-4fd5-84a5-d1bb56d4368b",
            
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      "name": "diffusion model",
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      "name": "diffusion model",
            
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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": "text-to-image",
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      "display_name": "text-to-image",
            
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      "id": "0b0e2f9a-321b-4b04-abc6-14130f66400c",
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      "id": "0b0e2f9a-321b-4b04-abc6-14130f66400c",
            
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      "name": "text-to-image",
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      "name": "text-to-image",
            
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      "state": "active",
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      "state": "active",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Custom Diffusion",
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  "title": "Custom Diffusion",
            
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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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}