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  "access_rights": "",
            
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  "accrualPeriodicity": "",
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  "accrualPeriodicity": "",
            
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  "author": "Ahmad Sakor",
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  "author": "Ahmad Sakor",
            
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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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  "conformsTo": "",
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  "conformsTo": "",
            
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  "creator_user_id": "0728da89-2020-4436-afb1-80580688ed61",
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  "creator_user_id": "0728da89-2020-4436-afb1-80580688ed61",
            
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  "defined_in": "",
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  "defined_in": "",
            
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  "doi": "10.57702/djfcf0oa",
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  "doi": "10.57702/djfcf0oa",
            
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  "doi_date_published": "2024-12-21",
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  "doi_date_published": "2024-12-21",
            
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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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  "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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  "end_date": "",
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  "end_date": "",
            
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  "extra_authors": [
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    }
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  ],
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  ],
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "__extras": {
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      "value": ""
            
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    }
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  "groups": [],
            
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  "landing_page": "",
            
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  "language": "",
            
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  "license_id": "notspecified",
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "metadata_created": "2024-12-21T12:50:03.115243",
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  "metadata_created": "2024-12-21T12:50:03.115243",
            
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  "metadata_modified": "2024-12-21T13:03:05.633355",
            
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  "name": "pipeline-for-arabic-legal-text-summarization-dataset",
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  "name": "pipeline-for-arabic-legal-text-summarization-dataset",
            
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  "notes": "This dataset contains the data used for the Pipeline for 
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  "notes": "This dataset contains the data used for the Pipeline for 
            
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Arabic Legal Text Summarization",
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Arabic Legal Text Summarization",
            
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2017-11-23T17:30:37.757128",
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    "created": "2017-11-23T17:30:37.757128",
            
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    "description": "The German National Library of Science and 
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    "description": "The German National Library of Science and 
            
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Technology, abbreviated TIB, is the national library of the Federal 
55
Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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Republic of Germany for all fields of engineering, technology, and the 
            
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natural sciences.",
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natural sciences.",
            
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    "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
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    "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
            
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    "image_url": 
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    "image_url": 
            
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3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png",
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3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "tib",
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    "name": "tib",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "TIB",
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    "title": "TIB",
            
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    "type": "organization"
            
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  },
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  "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d",
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      "created": "2024-12-21T12:52:05.522447",
            
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      "description": "The gold standard built using GPT-4 in JSON 
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      "description": "The gold standard built using GPT-4 in JSON 
            
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format.\r\nIt contains the summaries for the input legal cases text",
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format.\r\nIt contains the summaries for the input legal cases text",
            
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      "format": "JSON",
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      "format": "JSON",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "d2eb87ed-9f05-45a7-8196-d8b3aca86c97",
            
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      "language": "Arabic",
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      "language": "Arabic",
            
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      "last_modified": "2024-12-21T12:52:05.504552",
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      "name": "Gold Standard",
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      "url": 
            
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esource/d2eb87ed-9f05-45a7-8196-d8b3aca86c97/download/json_files.zip",
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esource/d2eb87ed-9f05-45a7-8196-d8b3aca86c97/download/json_files.zip",
            
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      "created": "2024-12-21T12:55:38.720753",
            
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      "description": "This file contains the extracted text from the 
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      "description": "This file contains the extracted text from the 
            
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PDFs of the legal cases",
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PDFs of the legal cases",
            
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      "format": "TXT",
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      "format": "TXT",
            
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      "hash": "",
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      "language": "Arabic",
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      "language": "Arabic",
            
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      "last_modified": "2024-12-21T12:55:38.701633",
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      "last_modified": "2024-12-21T12:55:38.701633",
            
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      "name": "The extracted text of the cases",
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      "created": "2024-12-21T12:58:13.131444",
            
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      "description": "this files contains the generated output for the 
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      "description": "this files contains the generated output for the 
            
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fine tuned model",
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fine tuned model",
            
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      "language": "Arabic",
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      "language": "Arabic",
            
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      "name": "generated output of the fine tuned model",
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      "name": "generated output of the fine tuned model",
            
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      "created": "2024-12-21T12:59:10.386995",
            
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      "description": "This file contains the generated output for the 
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      "description": "This file contains the generated output for the 
            
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base model",
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base model",
            
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1-4ac2-9afe-431293ca4cd1/download/generated_outputs_base_model.jsonl",
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1-4ac2-9afe-431293ca4cd1/download/generated_outputs_base_model.jsonl",
            
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      "created": "2024-12-21T13:02:19.874089",
            
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      "description": "this file contains the training dataset used for 
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      "description": "this file contains the training dataset used for 
            
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fine tuning the model",
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fine tuning the model",
            
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      "format": "jsonl",
            
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