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  "access_rights": "",
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  "author": "Alexei Romanov",
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  "author": "Alexei Romanov",
            
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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.1904.02181",
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    "https://doi.org/10.48550/arXiv.1904.02181",
            
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  "defined_in": "https://doi.org/10.18653/v1/W19-5045",
            
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  "doi": "10.57702/x9k4kjoi",
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  "doi": "10.57702/x9k4kjoi",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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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": "Chaitanya Shivade",
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      "extra_author": "Chaitanya Shivade",
            
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      "orcid": ""
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  "metadata_created": "2024-11-25T14:23:50.017085",
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  "metadata_created": "2024-11-25T14:23:50.017085",
            
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  "name": "mednli",
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  "name": "mednli",
            
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  "notes": "The MedNLI dataset is used to predict the entailment 
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  "notes": "The MedNLI dataset is used to predict the entailment 
            
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relation between a pair of sentences, with premises taken from 
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relation between a pair of sentences, with premises taken from 
            
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doctors' notes in the clinical dataset MIMIC-III.",
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doctors' notes in the clinical dataset MIMIC-III.",
            
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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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    "created": "2024-11-25T12:11:38.292601",
            
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      "created": "2024-11-25T15:30:26",
            
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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": "b2784322-c0c4-47dd-9fa2-e8825ddea9b9",
            
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      "last_modified": "2024-11-25T14:37:29.535219",
            
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      "metadata_modified": "2024-11-25T14:37:29.545109",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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      "size": 1024,
            
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resource/b2784322-c0c4-47dd-9fa2-e8825ddea9b9/download/metadata.json",
            
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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": "MedNLI",
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  "title": "MedNLI",
            
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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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}