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  "access_rights": "",
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  "author": "Raimarc Dionido",
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  "author": "Raimarc Dionido",
            
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  "author_email": "",
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  "defined_in": "",
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  "doi": "10.57702/hsw97pbs",
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  "doi": "10.57702/hsw97pbs",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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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": "Darwin Bautista",
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      "extra_author": "Darwin Bautista",
            
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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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      "display_name": "Board Games",
            
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      "image_display_url": "",
            
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      "name": "board-games",
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      "name": "board-games",
            
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      "title": "Board Games"
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      "title": "Board Games"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Reinforcement Learning",
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      "display_name": "Reinforcement Learning",
            
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      "name": "reinforcement-learning",
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      "name": "reinforcement-learning",
            
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      "title": "Reinforcement Learning"
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      "title": "Reinforcement Learning"
            
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    }
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  "landing_page": "https://github.com/baudm/sungka-ai",
            
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  "metadata_created": "2024-12-03T09:51:00.000112",
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  "name": "sungka",
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  "name": "sungka",
            
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  "notes": "The Sungka dataset is a two-player turn-based board game 
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  "notes": "The Sungka dataset is a two-player turn-based board game 
            
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where each player takes turns moving stones to collect as many stones 
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where each player takes turns moving stones to collect as many stones 
            
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as possible.",
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as possible.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "image_url": "",
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    "state": "active",
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    "type": "organization"
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    "type": "organization"
            
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  "relationships_as_object": [],
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      "created": "2024-12-03T10:49:30",
            
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      "data": [
            
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        "dcterms:hasVersion",
            
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        "dcterms:format",
            
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        "mls:task"
            
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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": "1e196674-7ed0-4fb8-9030-37e282bc3f2e",
            
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      "last_modified": "2024-12-03T09:51:00.566723",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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      "url_type": "upload"
            
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  "tags": [
            
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      "name": "Board Game",
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      "name": "Reinforcement Learning",
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    },
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    {
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    {
            
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      "display_name": "Sungka",
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      "display_name": "Sungka",
            
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      "id": "e81a382f-45a2-492a-8899-92407cda4237",
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      "id": "e81a382f-45a2-492a-8899-92407cda4237",
            
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      "name": "Sungka",
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      "name": "Sungka",
            
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      "state": "active",
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Sungka",
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  "title": "Sungka",
            
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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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}