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  "author": "Michael V\u00f6lske",
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  "author": "Michael V\u00f6lske",
            
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  "citation": [
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  "citation": [],
            
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    "https://doi.org/10.1016/j.websem.2022.100755"

            
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  ],

            
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  "doi": "10.57702/2heldboi",
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  "doi": "10.57702/2heldboi",
            
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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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  "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": "Martin Potthast",
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      "extra_author": "Martin Potthast",
            
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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": "Shahbaz Syed",
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      "extra_author": "Shahbaz Syed",
            
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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": "Benno Stein",
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      "extra_author": "Benno Stein",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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  "metadata_created": "2024-11-25T12:05:13.741890",
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  "metadata_created": "2024-11-25T12:05:13.741890",
            
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  "metadata_modified": "2024-11-25T14:09:56.179340",
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  "metadata_modified": "2024-11-25T14:11:13.244613",
            
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  "name": "tl-dr-reddit-corpus",
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  "name": "tl-dr-reddit-corpus",
            
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  "notes": "The TL;DR Reddit corpus consists of approximately 3 
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  "notes": "The TL;DR Reddit corpus consists of approximately 3 
            
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million content-summary pairs mined from Reddit, used for training and 
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million content-summary pairs mined from Reddit, used for training and 
            
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evaluating summarization models.",
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evaluating summarization models.",
            
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    "created": "2024-11-25T12:11:38.292601",
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      "created": "2024-11-25T15:09:54",

            
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      "data": [

            
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        "mls:task",

            
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        "datacite:isDescribedBy"

            
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      ],

            
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      "description": "The json representation of the dataset with its 

            
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distributions based on DCAT.",

            
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      "format": "JSON",

            
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      "hash": "",

            
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      "id": "6a8517b4-dbac-4406-ba7d-1eb75ec873d8",

            
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      "last_modified": "2024-11-25T14:09:56.172420",

            
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      "metadata_modified": "2024-11-25T14:09:56.182497",

            
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      "mimetype": "application/json",

            
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      "mimetype_inner": null,

            
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      "name": "Original Metadata",

            
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      "package_id": "abc963b4-c4ae-48b9-b413-64d23a7e3107",

            
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      "position": 0,

            
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      "resource_type": null,

            
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      "size": 800,

            
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resource/6a8517b4-dbac-4406-ba7d-1eb75ec873d8/download/metadata.json",

            
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      "url_type": "upload"

            
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  "state": "active",
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  "state": "active",
            
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  "tags": [],
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  "tags": [],
            
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  "title": "TL;DR Reddit corpus",
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  "title": "TL;DR Reddit corpus",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}