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  "author": "Johnson",
            
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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.2106.08170"
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    "https://doi.org/10.48550/arXiv.2106.08170"
            
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  ],
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  "defined_in": "https://doi.org/10.1007/s11633-022-1360-1",
            
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  "doi": "10.57702/v42pwykk",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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      "extra_author": "Hariharan",
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    },
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      "extra_author": "Van Der Maaten",
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    },
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    {
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      "extra_author": "Fei-Fei",
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Girshick",
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      "extra_author": "Girshick",
            
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      "orcid": ""
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    }
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      "name": "concept-learning",
            
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      "title": "Concept Learning"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "visual-question-answering",
            
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      "title": "Visual Question Answering"
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  "name": "clevr-cogent",
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  "name": "clevr-cogent",
            
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  "notes": "The CLEVR-CoGenT dataset is a dataset for visual question 
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  "notes": "The CLEVR-CoGenT dataset is a dataset for visual question 
            
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answering, where the questions consist on comparing the position of 
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answering, where the questions consist on comparing the position of 
            
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two objects.",
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      "id": "4c989745-7b80-4986-bbeb-3160b3d2620f",
            
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      "name": "position comparison",
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  "title": "CLEVR-CoGenT",
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  "version": ""
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  "version": ""
            
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}
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}