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  "author": "Shiwei Zeng",
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  "author": "Shiwei Zeng",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2106.07080",
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  "defined_in": "https://doi.org/10.48550/arXiv.2106.07080",
            
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  "doi": "10.57702/225s1cyo",
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  "doi": "10.57702/225s1cyo",
            
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  "doi_date_published": "2024-12-16",
            
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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": "Jie Shen",
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      "extra_author": "Jie Shen",
            
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      "description": "",
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      "name": "adversarial-noise",
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      "name": "adversarial-noise",
            
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      "title": "Adversarial noise"
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      "title": "Adversarial noise"
            
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      "description": "",
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      "description": "",
            
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      "name": "crowdsourced-learning",
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      "name": "crowdsourced-learning",
            
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      "title": "Crowdsourced learning"
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      "title": "Crowdsourced learning"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Massart noise",
            
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      "name": "massart-noise",
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      "name": "massart-noise",
            
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      "title": "Massart noise"
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      "title": "Massart noise"
            
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  "metadata_modified": "2024-12-16T20:15:09.273146",
            
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  "name": "semi-veri-ed-crowdsourced-learning-dataset",
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  "name": "semi-veri-ed-crowdsourced-learning-dataset",
            
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  "notes": "The dataset used in the paper is a semi-veri\ufb01ed 
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  "notes": "The dataset used in the paper is a semi-veri\ufb01ed 
            
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crowdsourced learning dataset, where the majority of the crowd workers 
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crowdsourced learning dataset, where the majority of the crowd workers 
            
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are adversarial and the rest behave as Massart noise.",
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are adversarial and the rest behave as Massart noise.",
            
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  ],
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  ],
            
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  "title": "Semi-veri\ufb01ed crowdsourced learning dataset",
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}
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}