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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Xiaomian Kang",
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  "author": "Xiaomian Kang",
            
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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.1706.03196"
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    "https://doi.org/10.48550/arXiv.1706.03196"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2010.04314",
            
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  "doi": "10.57702/3qf38r9f",
            
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  "doi_date_published": null,
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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": "Yang Zhao",
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      "extra_author": "Yang Zhao",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jiajun Zhang",
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      "extra_author": "Jiajun Zhang",
            
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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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      "extra_author": "Chengqing Zong",
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      "extra_author": "Chengqing Zong",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    {
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      "description": "",
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      "description": "",
            
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      "name": "machine-translation",
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      "name": "machine-translation",
            
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      "title": "Machine Translation"
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      "title": "Machine Translation"
            
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  "notes": "The dataset is used for document-level neural machine 
            
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translation. It contains 0.23M training sentences, 0.31M development 
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translation. It contains 0.23M training sentences, 0.31M development 
            
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sentences, and 0.21M test sentences.",
            
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distributions based on DCAT.",
            
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      "name": "Machine Translation",
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      "id": "d78dc21d-c81b-4951-85c4-75896b591866",
            
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      "name": "TED",
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  "title": "TED",
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}