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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Xiaokai Liu",
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  "author": "Xiaokai Liu",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2209.04109",
            
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  "doi": "10.57702/scyvo1hs",
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  "doi": "10.57702/scyvo1hs",
            
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  "doi_date_published": "2024-12-17",
            
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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": "Menghua Zhang",
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      "extra_author": "Menghua Zhang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  "landing_page": "https://github.com/mdeff/fma",
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  "metadata_created": "2024-12-17T08:21:19.944881",
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  "metadata_created": "2024-12-17T08:21:19.944881",
            
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  "metadata_modified": "2024-12-17T08:21:20.778421",
            
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  "name": "fma-dataset",
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  "name": "fma-dataset",
            
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  "notes": "Music Genre Classi\ufb01cation (MGC) is an essential task 
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  "notes": "Music Genre Classi\ufb01cation (MGC) is an essential task 
            
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in the research \ufb01eld of Music Information Retrieval (MIR) 
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in the research \ufb01eld of Music Information Retrieval (MIR) 
            
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Recently, inspired by the progress achieved by Deep Learning (DL) 
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Recently, inspired by the progress achieved by Deep Learning (DL) 
            
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techniques, researchers have widely applied DL techs in the \ufb01elds 
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techniques, researchers have widely applied DL techs in the \ufb01elds 
            
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of MIR and achieved promising results in various tasks, especially 
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of MIR and achieved promising results in various tasks, especially 
            
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MGC.",
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MGC.",
            
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  "title": "FMA Dataset",
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  "title": "FMA Dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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}
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}