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  "author": "Teresa Salazar",
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  "author": "Teresa Salazar",
            
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "defined_in": "https://doi.org/10.1007/978-3-031-35995-8_37",
            
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  "doi": "10.57702/ct21d5t3",
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  "doi": "10.57702/ct21d5t3",
            
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  "doi_date_published": null,
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  "doi_date_published": "2025-01-03",
            
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  "doi_publisher": "TIB",
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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": "Miguel Fernandes",
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      "extra_author": "Miguel Fernandes",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Helder Ara\u00fajo",
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      "extra_author": "Helder Ara\u00fajo",
            
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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": "Pedro Henriques",
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      "extra_author": "Pedro Henriques",
            
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      "orcid": ""
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      "name": "fairness-in-machine-learning",
            
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      "title": "Fairness in machine learning"
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      "title": "Fairness in machine learning"
            
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    },
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      "description": "",
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      "description": "",
            
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      "title": "Federated Learning"
            
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  "metadata_created": "2025-01-03T00:08:52.130300",
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  "metadata_created": "2025-01-03T00:08:52.130300",
            
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  "metadata_modified": "2025-01-03T00:08:52.735062",
            
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  "name": "compas--adult--law-school--dutch-census",
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  "name": "compas--adult--law-school--dutch-census",
            
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  "notes": "The COMPAS dataset\u2019s prediction task is to calculate 
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  "notes": "The COMPAS dataset\u2019s prediction task is to calculate 
            
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the recidivism outcome, indicating whether individuals will be 
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the recidivism outcome, indicating whether individuals will be 
            
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rearrested within two years after the first arrest, with race as the 
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rearrested within two years after the first arrest, with race as the 
            
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sensitive attribute. The Adult dataset\u2019s prediction task is to 
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sensitive attribute. The Adult dataset\u2019s prediction task is to 
            
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determine whether a person\u2019s income exceeds $50K/yr or not, with 
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determine whether a person\u2019s income exceeds $50K/yr or not, with 
            
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gender as the sensitive attribute. The Law School dataset\u2019s 
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gender as the sensitive attribute. The Law School dataset\u2019s 
            
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prediction task is to predict whether a candidate would pass the bar 
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prediction task is to predict whether a candidate would pass the bar 
            
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exam, with race as the sensitive attribute. Finally, the Dutch Census 
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exam, with race as the sensitive attribute. Finally, the Dutch Census 
            
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dataset\u2019s prediction task is to determine a person\u2019s 
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dataset\u2019s prediction task is to determine a person\u2019s 
            
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occupation which can be categorized as high level (prestigious) or low 
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occupation which can be categorized as high level (prestigious) or low 
            
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level profession, with gender as the sensitive attribute.",
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level profession, with gender as the sensitive attribute.",
            
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    {
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    {
            
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      "display_name": "Recidivism",
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      "display_name": "Recidivism",
            
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      "id": "db26e891-010f-467f-85ec-234e76b3a35a",
            
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      "name": "Recidivism",
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  ],
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  ],
            
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  "title": "COMPAS, Adult, Law School, Dutch Census",
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}
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}