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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "S. Merity",
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  "author": "S. Merity",
            
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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.2004.14996",
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    "https://doi.org/10.48550/arXiv.2004.14996",
            
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    "https://doi.org/10.48550/arXiv.1812.10860"
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    "https://doi.org/10.48550/arXiv.1812.10860"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1612.08083",
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  "defined_in": "https://doi.org/10.48550/arXiv.1612.08083",
            
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  "doi": "10.57702/b35ezmet",
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  "doi": "10.57702/b35ezmet",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "C. Xiong",
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      "extra_author": "C. Xiong",
            
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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": "J. Bradbury",
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      "extra_author": "J. Bradbury",
            
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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": "R. Socher",
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      "extra_author": "R. Socher",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  "landing_page": "https://arxiv.org/abs/1609.07843",
            
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  "metadata_created": "2024-11-25T14:17:32.076540",
            
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  "metadata_modified": "2024-11-25T14:30:37.013732",
            
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  "name": "wikitext-103",
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  "name": "wikitext-103",
            
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  "notes": "WikiText-103 is a dataset containing over 100 million 
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  "notes": "WikiText-103 is a dataset containing over 100 million 
            
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tokens with a vocabulary of about 200K words, where the sentences are 
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tokens with a vocabulary of about 200K words, where the sentences are 
            
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consecutive and allow models to condition on larger contexts rather 
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consecutive and allow models to condition on larger contexts rather 
            
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than single sentences.",
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than single sentences.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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      "format": "JSON",

            
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      "id": "b8c6f4f8-8b3a-43c5-8a5a-7076878c6de2",

            
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      "last_modified": "2024-11-25T14:17:32.468204",

            
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      "name": "Original Metadata",

            
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  "tags": [],
            
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  "title": "WikiText-103",
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  "title": "WikiText-103",
            
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}