Changes

On December 2, 2024 at 11:09:19 PM UTC, admin:
Set author of SST-2 to Depeng Liang (previously Richard Socher)
Updated description of SST-2 from
The Stanford Sentiment Treebank is a binary single-sentence classification task consisting of sentences extracted from movie reviews with human annotations of their sentiment.
to
The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and ﬁnd that a model having higher AUC does not necessarily have a higher selective answering capability.
Added the following tags to SST-2
Changed value of field extra_authors to [{'extra_author': 'Yongdong Zhang', 'orcid': ''}] in SST-2
Changed value of field landing_page to https://www.aclweb.org/anthology/D15-1012 in SST-2
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2109.05463 in SST-2
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2305.11596', 'https://doi.org/10.48550/arXiv.2210.14576', 'https://doi.org/10.48550/arXiv.2310.07579', 'https://doi.org/10.48550/arXiv.2105.06020', 'https://doi.org/10.48550/arXiv.2210.04466', 'https://doi.org/10.48550/arXiv.2102.04761', 'https://doi.org/10.48550/arXiv.2401.03514', 'https://doi.org/10.48550/arXiv.2305.14710', 'https://doi.org/10.48550/arXiv.2009.07360', 'https://doi.org/10.48550/arXiv.2007.06898'] in SST-2
Deleted resource Original Metadata from SST-2
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Richard Socher", n 3   "author": "Depeng Liang",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n n 6     "https://doi.org/10.48550/arXiv.2305.11596",
            7     "https://doi.org/10.48550/arXiv.2210.14576",
            8     "https://doi.org/10.48550/arXiv.2310.07579",
            9     "https://doi.org/10.48550/arXiv.2105.06020",
            10     "https://doi.org/10.48550/arXiv.2210.04466",
            11     "https://doi.org/10.48550/arXiv.2102.04761",
            12     "https://doi.org/10.48550/arXiv.2401.03514",
            13     "https://doi.org/10.48550/arXiv.2305.14710",
            6     "https://doi.org/10.48550/arXiv.2004.05707", 14     "https://doi.org/10.48550/arXiv.2009.07360",
            7     "https://doi.org/10.48550/arXiv.2001.04246" 15     "https://doi.org/10.48550/arXiv.2007.06898"
            8   ], 16   ],
            9   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 17   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 10   "defined_in": "https://doi.org/10.18653/v1/2020.acl-main.540", n 18   "defined_in": "https://doi.org/10.48550/arXiv.2109.05463",
            11   "doi": "10.57702/xbqg3gx6", 19   "doi": "10.57702/xbqg3gx6",
            12   "doi_date_published": "2024-11-25", 20   "doi_date_published": "2024-11-25",
            13   "doi_publisher": "TIB", 21   "doi_publisher": "TIB",
            14   "doi_status": true, 22   "doi_status": true,
            15   "domain": "https://service.tib.eu/ldmservice", 23   "domain": "https://service.tib.eu/ldmservice",
            16   "extra_authors": [ 24   "extra_authors": [
            17     { 25     {
            n 18       "extra_author": "Alex Perelygin", n 
            19       "orcid": "" 
            20     }, 
            21     { 
            22       "extra_author": "Jean Wu", 
            23       "orcid": "" 
            24     }, 
            25     { 
            26       "extra_author": "Jason Chuang", 26       "extra_author": "Yongdong Zhang",
            27       "orcid": "" 
            28     }, 
            29     { 
            30       "extra_author": "Christopher D Manning", 
            31       "orcid": "" 
            32     }, 
            33     { 
            34       "extra_author": "Andrew Ng", 
            35       "orcid": "" 
            36     }, 
            37     { 
            38       "extra_author": "Christopher Potts", 
            39       "orcid": "" 27       "orcid": ""
            40     } 28     }
            41   ], 29   ],
            n 42   "groups": [], n 30   "groups": [
            31     {
            32       "description": "",
            33       "display_name": "Active Learning",
            34       "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80",
            35       "image_display_url": "",
            36       "name": "active-learning",
            37       "title": "Active Learning"
            38     },
            39     {
            40       "description": "",
            41       "display_name": "Natural Language Processing",
            42       "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0",
            43       "image_display_url": "",
            44       "name": "natural-language-processing",
            45       "title": "Natural Language Processing"
            46     },
            47     {
            48       "description": "",
            49       "display_name": "Question Answering",
            50       "id": "01e9bd6b-910d-421d-bb31-799604023211",
            51       "image_display_url": "",
            52       "name": "question-answering",
            53       "title": "Question Answering"
            54     },
            55     {
            56       "description": "",
            57       "display_name": "Question Classification",
            58       "id": "4ad84313-7b56-4857-814b-6e2c2a1f26d3",
            59       "image_display_url": "",
            60       "name": "question-classification",
            61       "title": "Question Classification"
            62     },
            63     {
            64       "description": "",
            65       "display_name": "Sentiment Analysis",
            66       "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5",
            67       "image_display_url": "",
            68       "name": "sentiment-analysis",
            69       "title": "Sentiment Analysis"
            70     },
            71     {
            72       "description": "",
            73       "display_name": "Subjectivity Classification",
            74       "id": "be36a9d7-a141-4d3c-90f6-a166c941af9e",
            75       "image_display_url": "",
            76       "name": "subjectivity-classification",
            77       "title": "Subjectivity Classification"
            78     },
            79     {
            80       "description": "",
            81       "display_name": "Text Classification",
            82       "id": "0707d099-de73-41dc-85f6-93e4efa6bf14",
            83       "image_display_url": "",
            84       "name": "text-classification",
            85       "title": "Text Classification"
            86     }
            87   ],
            43   "id": "447486f4-d9da-45e4-8dc2-737b541a8560", 88   "id": "447486f4-d9da-45e4-8dc2-737b541a8560",
            44   "isopen": false, 89   "isopen": false,
            n 45   "landing_page": "https://github.com/kodenii/BERT-SST2", n 90   "landing_page": "https://www.aclweb.org/anthology/D15-1012",
            46   "license_title": null, 91   "license_title": null,
            47   "link_orkg": "", 92   "link_orkg": "",
            48   "metadata_created": "2024-11-25T14:27:01.487246", 93   "metadata_created": "2024-11-25T14:27:01.487246",
            n 49   "metadata_modified": "2024-11-25T14:40:57.287593", n 94   "metadata_modified": "2024-12-02T23:09:18.595628",
            50   "name": "sst-2", 95   "name": "sst-2",
            n 51   "notes": "The Stanford Sentiment Treebank is a binary  n 96   "notes": "The dataset used for the experiments across ten 
            52 single-sentence classification task consisting of sentences extracted  97 models\u2013 ranging from bag-of-words models to pre-trained 
            53 from movie reviews with human annotations of their sentiment.", 98 transformers\u2013 and \ufb01nd that a model having higher AUC does 
            99 not necessarily have a higher selective answering capability.",
            54   "num_resources": 1, 100   "num_resources": 0,
            55   "num_tags": 0, 101   "num_tags": 18,
            56   "organization": { 102   "organization": {
            57     "approval_status": "approved", 103     "approval_status": "approved",
            58     "created": "2024-11-25T12:11:38.292601", 104     "created": "2024-11-25T12:11:38.292601",
            59     "description": "", 105     "description": "",
            60     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 106     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            61     "image_url": "", 107     "image_url": "",
            62     "is_organization": true, 108     "is_organization": true,
            63     "name": "no-organization", 109     "name": "no-organization",
            64     "state": "active", 110     "state": "active",
            65     "title": "No Organization", 111     "title": "No Organization",
            66     "type": "organization" 112     "type": "organization"
            67   }, 113   },
            68   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 114   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            69   "private": false, 115   "private": false,
            70   "relationships_as_object": [], 116   "relationships_as_object": [],
            71   "relationships_as_subject": [], 117   "relationships_as_subject": [],
            n 72   "resources": [ n 118   "resources": [],
            73     { 
            74       "cache_last_updated": null, 
            75       "cache_url": null, 
            76       "created": "2024-11-25T15:30:26", 
            77       "data": [ 
            78         "dcterms:title", 
            79         "dcterms:accessRights", 
            80         "dcterms:creator", 
            81         "dcterms:description", 
            82         "dcterms:issued", 
            83         "dcterms:language", 
            84         "dcterms:identifier", 
            85         "dcat:theme", 
            86         "dcterms:type", 
            87         "dcat:keyword", 
            88         "dcat:landingPage", 
            89         "dcterms:hasVersion", 
            90         "dcterms:format", 
            91         "mls:task", 
            92         "datacite:isDescribedBy" 
            93       ], 
            94       "description": "The json representation of the dataset with its  
            95 distributions based on DCAT.", 
            96       "format": "JSON", 
            97       "hash": "", 
            98       "id": "bce323e1-de2c-426c-8b61-06ce8f6c698b", 
            99       "last_modified": "2024-11-25T14:40:57.280597", 
            100       "metadata_modified": "2024-11-25T14:40:57.290714", 
            101       "mimetype": "application/json", 
            102       "mimetype_inner": null, 
            103       "name": "Original Metadata", 
            104       "package_id": "447486f4-d9da-45e4-8dc2-737b541a8560", 
            105       "position": 0, 
            106       "resource_type": null, 
            107       "size": 1070, 
            108       "state": "active", 
            109       "url":  
            110 resource/bce323e1-de2c-426c-8b61-06ce8f6c698b/download/metadata.json", 
            111       "url_type": "upload" 
            112     } 
            113   ], 
            114   "services_used_list": "", 119   "services_used_list": "",
            115   "state": "active", 120   "state": "active",
            t 116   "tags": [], t 121   "tags": [
            122     {
            123       "display_name": "Active Learning",
            124       "id": "a8357cc2-9e98-47aa-af5e-aa49c61e75db",
            125       "name": "Active Learning",
            126       "state": "active",
            127       "vocabulary_id": null
            128     },
            129     {
            130       "display_name": "Deep learning",
            131       "id": "a8638dc7-b339-4a0b-8daa-ef73a49e2688",
            132       "name": "Deep learning",
            133       "state": "active",
            134       "vocabulary_id": null
            135     },
            136     {
            137       "display_name": "Diversity Sampling",
            138       "id": "470abd32-5f95-4d6f-b750-1202b99fccd6",
            139       "name": "Diversity Sampling",
            140       "state": "active",
            141       "vocabulary_id": null
            142     },
            143     {
            144       "display_name": "Natural Language Processing",
            145       "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe",
            146       "name": "Natural Language Processing",
            147       "state": "active",
            148       "vocabulary_id": null
            149     },
            150     {
            151       "display_name": "SST-2",
            152       "id": "9a51fd1c-a50b-4e9b-b300-6be82b2e3f2f",
            153       "name": "SST-2",
            154       "state": "active",
            155       "vocabulary_id": null
            156     },
            157     {
            158       "display_name": "STS",
            159       "id": "19c083a4-bf02-4d31-906f-3c62656c8071",
            160       "name": "STS",
            161       "state": "active",
            162       "vocabulary_id": null
            163     },
            164     {
            165       "display_name": "Selective Answering",
            166       "id": "4e271c05-006e-447e-b0a7-e0e2f01c482c",
            167       "name": "Selective Answering",
            168       "state": "active",
            169       "vocabulary_id": null
            170     },
            171     {
            172       "display_name": "Semantic Textual Similarity",
            173       "id": "28dd2f73-6ad0-42c2-b053-5c28af67f1a5",
            174       "name": "Semantic Textual Similarity",
            175       "state": "active",
            176       "vocabulary_id": null
            177     },
            178     {
            179       "display_name": "Sentiment Analysis",
            180       "id": "8523cc06-351a-4eef-b126-04451cbc0d13",
            181       "name": "Sentiment Analysis",
            182       "state": "active",
            183       "vocabulary_id": null
            184     },
            185     {
            186       "display_name": "Text Classification",
            187       "id": "daa24bd4-9e49-4ef5-870a-f51681ab0a20",
            188       "name": "Text Classification",
            189       "state": "active",
            190       "vocabulary_id": null
            191     },
            192     {
            193       "display_name": "Text classification",
            194       "id": "7ee433f6-f758-4e08-a3ad-55e1fce4adc0",
            195       "name": "Text classification",
            196       "state": "active",
            197       "vocabulary_id": null
            198     },
            199     {
            200       "display_name": "Uncertainty Sampling",
            201       "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95",
            202       "name": "Uncertainty Sampling",
            203       "state": "active",
            204       "vocabulary_id": null
            205     },
            206     {
            207       "display_name": "natural language processing",
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            209       "name": "natural language processing",
            210       "state": "active",
            211       "vocabulary_id": null
            212     },
            213     {
            214       "display_name": "question answering",
            215       "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00",
            216       "name": "question answering",
            217       "state": "active",
            218       "vocabulary_id": null
            219     },
            220     {
            221       "display_name": "question classification",
            222       "id": "8be448d9-1881-4f86-962d-cc969c3cbaf2",
            223       "name": "question classification",
            224       "state": "active",
            225       "vocabulary_id": null
            226     },
            227     {
            228       "display_name": "sentiment analysis",
            229       "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63",
            230       "name": "sentiment analysis",
            231       "state": "active",
            232       "vocabulary_id": null
            233     },
            234     {
            235       "display_name": "subjectivity classification",
            236       "id": "bdd411ec-3591-46bd-b9fd-f6d4f771e33e",
            237       "name": "subjectivity classification",
            238       "state": "active",
            239       "vocabulary_id": null
            240     },
            241     {
            242       "display_name": "text classification",
            243       "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d",
            244       "name": "text classification",
            245       "state": "active",
            246       "vocabulary_id": null
            247     }
            248   ],
            117   "title": "SST-2", 249   "title": "SST-2",
            118   "type": "dataset", 250   "type": "dataset",
            119   "version": "" 251   "version": ""
            120 } 252 }