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On November 25, 2024 at 2:38:53 PM UTC, admin:

Changed title to TRIVIAQA (previously TriviaQA)

Set author of TRIVIAQA to Joshi et al. (previously Mandar Joshi)

Updated description of TRIVIAQA from
TriviaQA is a large-scale dataset for reading comprehension which can be used to augment questions and generate answers based on a range of trivia-related topics.
to
TRIVIAQA is a large scale dataset containing question-answer pairs, along with a set of documents that contain the answers. It is suitable for evaluating reading comprehension with complex questions over longer documents.

Changed value of field defined_in to https://doi.org/10.48550/arXiv.1905.13453 in TRIVIAQA

Changed value of field citation to ['https://doi.org/10.48550/arXiv.1806.03529'] in TRIVIAQA

Deleted resource Original Metadata from TRIVIAQA

              
    
          
          
        
        
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            5   "citation": [ 5   "citation": [
            n 6     "https://doi.org/10.48550/arXiv.1909.00333" n 6     "https://doi.org/10.48550/arXiv.1806.03529"
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            n 9   "defined_in":  n 9   "defined_in": "https://doi.org/10.48550/arXiv.1905.13453",
            10 "https://doi.org/10.18653/v1/2022.jeptalnrecital-taln.43", 
            11   "doi": "10.57702/pvteq3tv", 10   "doi": "10.57702/pvteq3tv",
            12   "doi_date_published": "2024-11-25", 11   "doi_date_published": "2024-11-25",
            13   "doi_publisher": "TIB", 12   "doi_publisher": "TIB",
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            n 16   "extra_authors": [ n 
            17     { 
            18       "extra_author": "Eunsol Choi", 
            19       "orcid": "" 
            20     }, 
            21     { 
            22       "extra_author": "Daniel Weld", 
            23       "orcid": "" 
            24     }, 
            25     { 
            26       "extra_author": "Luke Zettlemoyer", 
            27       "orcid": "" 
            28     } 
            29   ], 
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            32   "isopen": false, 17   "isopen": false,
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            36   "metadata_created": "2024-11-25T14:25:06.710490", 21   "metadata_created": "2024-11-25T14:25:06.710490",
            n 37   "metadata_modified": "2024-11-25T14:25:36.263865", n 22   "metadata_modified": "2024-11-25T14:38:52.769936",
            38   "name": "triviaqa", 23   "name": "triviaqa",
            n 39   "notes": "TriviaQA is a large-scale dataset for reading  n 24   "notes": "TRIVIAQA is a large scale dataset containing 
            40 comprehension which can be used to augment questions and generate  25 question-answer pairs, along with a set of documents that contain the 
            41 answers based on a range of trivia-related topics.", 26 answers. It is suitable for evaluating reading comprehension with 
            27 complex questions over longer documents.",
            42   "num_resources": 1, 28   "num_resources": 0,
            43   "num_tags": 0, 29   "num_tags": 0,
            44   "organization": { 30   "organization": {
            45     "approval_status": "approved", 31     "approval_status": "approved",
            46     "created": "2024-11-25T12:11:38.292601", 32     "created": "2024-11-25T12:11:38.292601",
            47     "description": "", 33     "description": "",
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            49     "image_url": "", 35     "image_url": "",
            50     "is_organization": true, 36     "is_organization": true,
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            52     "state": "active", 38     "state": "active",
            53     "title": "No Organization", 39     "title": "No Organization",
            54     "type": "organization" 40     "type": "organization"
            55   }, 41   },
            56   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 42   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            57   "private": false, 43   "private": false,
            58   "relationships_as_object": [], 44   "relationships_as_object": [],
            59   "relationships_as_subject": [], 45   "relationships_as_subject": [],
            n 60   "resources": [ n 46   "resources": [],
            61     { 
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            64       "created": "2024-11-25T15:17:21", 
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            66         "dcterms:title", 
            67         "dcterms:accessRights", 
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            70         "dcterms:issued", 
            71         "dcterms:language", 
            72         "dcterms:identifier", 
            73         "dcat:theme", 
            74         "dcterms:type", 
            75         "dcat:keyword", 
            76         "dcat:landingPage", 
            77         "dcterms:hasVersion", 
            78         "dcterms:format", 
            79         "mls:task", 
            80         "datacite:isDescribedBy" 
            81       ], 
            82       "description": "The json representation of the dataset with its  
            83 distributions based on DCAT.", 
            84       "format": "JSON", 
            85       "hash": "", 
            86       "id": "cdf64564-f0c2-440d-ad02-523532849422", 
            87       "last_modified": "2024-11-25T14:25:36.255331", 
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            90       "mimetype_inner": null, 
            91       "name": "Original Metadata", 
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            95       "size": 867, 
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            98 resource/cdf64564-f0c2-440d-ad02-523532849422/download/metadata.json", 
            99       "url_type": "upload" 
            100     } 
            101   ], 
            102   "services_used_list": "", 47   "services_used_list": "",
            103   "state": "active", 48   "state": "active",
            104   "tags": [], 49   "tags": [],
            t 105   "title": "TriviaQA", t 50   "title": "TRIVIAQA",
            106   "type": "dataset", 51   "type": "dataset",
            107   "version": "" 52   "version": ""
            108 } 53 }