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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Tianfei Zhou",
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  "author": "Tianfei Zhou",
            
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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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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.16076",
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.16076",
            
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  "doi": "10.57702/mex3huh1",
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  "doi": "10.57702/mex3huh1",
            
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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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  "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": "Wenguan Wang",
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      "extra_author": "Wenguan Wang",
            
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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": "Zhiyuan Liang",
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      "extra_author": "Zhiyuan 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": "Jianbing Shen",
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      "extra_author": "Jianbing Shen",
            
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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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      "description": "",
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      "description": "",
            
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      "display_name": "Face Forgery Detection",
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      "display_name": "Face Forgery Detection",
            
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      "name": "face-forgery-detection",
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      "name": "face-forgery-detection",
            
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      "title": "Face Forgery Detection"
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      "title": "Face Forgery Detection"
            
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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": "Multi-Person Scenarios",
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      "display_name": "Multi-Person Scenarios",
            
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      "name": "multi-person-scenarios",
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      "name": "multi-person-scenarios",
            
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      "title": "Multi-Person Scenarios"
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      "title": "Multi-Person Scenarios"
            
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  "landing_page": "https://github.com/tfzhou/FFIW",
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  "metadata_created": "2024-12-16T19:55:43.734621",
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  "metadata_created": "2024-12-16T19:55:43.734621",
            
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  "metadata_modified": "2024-12-16T19:55:44.369373",
            
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  "name": "ffiw10k",
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  "name": "ffiw10k",
            
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  "notes": "A novel large-scale dataset for face forgery detection in 
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  "notes": "A novel large-scale dataset for face forgery detection in 
            
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multi-person scenarios, comprising 10,000 high-quality forgery videos 
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multi-person scenarios, comprising 10,000 high-quality forgery videos 
            
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with an average of three human faces in each frame.",
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with an average of three human faces in each frame.",
            
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    "approval_status": "approved",
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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  "tags": [
            
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    {
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      "display_name": "face forgery",
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      "display_name": "face forgery",
            
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      "name": "large-scale dataset",
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      "display_name": "multi-person scenarios",
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      "display_name": "multi-person scenarios",
            
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      "id": "b615dbe3-f402-4b26-8636-3c73841da7e3",
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      "name": "multi-person scenarios",
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      "name": "multi-person scenarios",
            
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    }
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  ],
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  "title": "FFIW10K",
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  "title": "FFIW10K",
            
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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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}