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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jamie Ryan Kiros",
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  "author": "Jamie Ryan Kiros",
            
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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.2201.04467",
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    "https://doi.org/10.48550/arXiv.2201.04467",
            
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    "https://doi.org/10.48550/arXiv.1904.02464",
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    "https://doi.org/10.48550/arXiv.1904.02464",
            
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    "https://doi.org/10.1145/3178876.3186022",
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    "https://doi.org/10.1145/3178876.3186022",
            
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    "https://doi.org/10.48550/arXiv.2304.04726",
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    "https://doi.org/10.48550/arXiv.2304.04726",
            
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    "https://doi.org/10.48550/arXiv.1702.02171",
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    "https://doi.org/10.48550/arXiv.1702.02171",
            
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    "https://doi.org/10.48550/arXiv.1904.12166",
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    "https://doi.org/10.48550/arXiv.1904.12166",
            
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    "https://doi.org/10.48550/arXiv.1706.03146"
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    "https://doi.org/10.48550/arXiv.1706.03146"
            
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  ],
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.05135",
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.05135",
            
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  "doi": "10.57702/arwr3woh",
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  "doi": "10.57702/arwr3woh",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Yukun Zhu",
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      "extra_author": "Yukun Zhu",
            
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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": "Richard S. Zemel",
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      "extra_author": "Richard S. Zemel",
            
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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": "Ruslan Salakhutdinov",
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      "extra_author": "Ruslan Salakhutdinov",
            
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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": "Raquel Urtasun",
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      "extra_author": "Raquel Urtasun",
            
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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": "Antonio Torralba",
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      "extra_author": "Antonio Torralba",
            
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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": "Sanja Fidler",
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      "extra_author": "Sanja Fidler",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "display_name": "Document Clustering",
            
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      "name": "document-clustering",
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      "name": "document-clustering",
            
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      "title": "Document Clustering"
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      "title": "Document Clustering"
            
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    },
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    {
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    {
            
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      "description": "",
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      "display_name": "Document Semantics Comparison",
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      "display_name": "Document Semantics Comparison",
            
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      "name": "document-semantics-comparison",
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      "name": "document-semantics-comparison",
            
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      "title": "Document Semantics Comparison"
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      "title": "Document Semantics Comparison"
            
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    {
            
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      "description": "",
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      "name": "natural-language-inference",
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      "name": "natural-language-inference",
            
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      "title": "Natural Language Inference"
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      "title": "Natural Language Inference"
            
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      "description": "",
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      "display_name": "Semantic Relatedness",
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      "name": "semantic-relatedness",
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      "name": "semantic-relatedness",
            
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      "title": "Semantic Relatedness"
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      "title": "Semantic Relatedness"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Semantic Textual Similarity Estimation",
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      "name": "semantic-textual-similarity-estimation",
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      "name": "semantic-textual-similarity-estimation",
            
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      "title": "Semantic Textual Similarity Estimation"
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      "title": "Semantic Textual Similarity Estimation"
            
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    },
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    {
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      "description": "",
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      "display_name": "Sentiment Analysis",
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      "name": "sentiment-analysis",
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      "name": "sentiment-analysis",
            
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      "title": "Sentiment Analysis"
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      "title": "Sentiment Analysis"
            
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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": "Textual Entailment",
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      "display_name": "Textual Entailment",
            
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      "id": "9b2f3192-e2b1-469d-95bc-790637167139",
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      "id": "9b2f3192-e2b1-469d-95bc-790637167139",
            
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      "name": "textual-entailment",
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      "name": "textual-entailment",
            
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      "title": "Textual Entailment"
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      "title": "Textual Entailment"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "8e66d4d3-4681-49c5-94e5-8d0084e1e5e4",
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  "landing_page": "https://www.aclweb.org/anthology/D15-1012",
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  "landing_page": "https://www.aclweb.org/anthology/D15-1012",
            
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  "metadata_modified": "2024-12-02T18:14:09.280444",
            
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  "name": "sick",
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  "name": "sick",
            
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  "notes": "SICK is a dataset for recognizing textual entailment 
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  "notes": "SICK is a dataset for recognizing textual entailment 
            
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(RTE), containing 4.5K/0.5K/5.0K train/dev/test examples. Each example 
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(RTE), containing 4.5K/0.5K/5.0K train/dev/test examples. Each example 
            
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consists of a hypothesis and a premise, and the goal is to determine 
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consists of a hypothesis and a premise, and the goal is to determine 
            
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if the premise is entailed by, contradicts, or is neutral to the 
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if the premise is entailed by, contradicts, or is neutral to the 
            
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hypothesis.",
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hypothesis.",
            
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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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      "display_name": "Semantic Textual Similarity Estimation",
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}
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}