Changes

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On December 2, 2024 at 6:01:36 PM UTC, admin:
Changed title to IMDB (previously IMDb)
Set author of IMDB to Zhang Ze Yu (previously Alexis Conneau)
Updated description of IMDB from
The IMDb text classification dataset is used for sentiment analysis, demonstrating the effectiveness of the proposed method with limited labeled examples.
to
The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested the proposed method on three real data sets for the most relevant security and privacy attacks discussed above.
Added the following tags to IMDB
Changed value of field defined_in to https://doi.org/10.1109/TNNLS.2022.3212627 in IMDB
Changed value of field extra_authors to [{'extra_author': 'Zhang Hui', 'orcid': ''}, {'extra_author': 'Lau Jia Jaw', 'orcid': ''}, {'extra_author': 'Bryan Kian Hsiang Low', 'orcid': ''}] in IMDB
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2003.10388', 'https://doi.org/10.48550/arXiv.2004.02308', 'https://doi.org/10.48550/arXiv.1605.05101', 'https://doi.org/10.48550/arXiv.2210.14576', 'https://doi.org/10.48550/arXiv.1412.6815', 'https://doi.org/10.1145/3678168', 'https://doi.org/10.48550/arXiv.1901.10787', 'https://doi.org/10.1007/978-3-030-19651-6_40', 'https://doi.org/10.48550/arXiv.2108.13654', 'https://doi.org/10.48550/arXiv.2007.02643', 'https://doi.org/10.48550/arXiv.2103.15429', 'https://doi.org/10.1109/TKDE.2021.3101356', 'https://doi.org/10.48550/arXiv.1711.09645', 'https://doi.org/10.48550/arXiv.2009.07360', 'https://doi.org/10.48550/arXiv.2303.01234', 'https://doi.org/10.48550/arXiv.2110.08931'] in IMDB
Changed value of field landing_page to https://www.imdb.com/ in IMDB
Deleted resource Original Metadata from IMDB
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Alexis Conneau", n 3   "author": "Zhang Ze Yu",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n n 6     "https://doi.org/10.48550/arXiv.2003.10388",
            7     "https://doi.org/10.48550/arXiv.2004.02308",
            8     "https://doi.org/10.48550/arXiv.1605.05101",
            9     "https://doi.org/10.48550/arXiv.2210.14576",
            10     "https://doi.org/10.48550/arXiv.1412.6815",
            11     "https://doi.org/10.1145/3678168",
            6     "https://doi.org/10.48550/arXiv.1904.12848" 12     "https://doi.org/10.48550/arXiv.1901.10787",
            13     "https://doi.org/10.1007/978-3-030-19651-6_40",
            14     "https://doi.org/10.48550/arXiv.2108.13654",
            15     "https://doi.org/10.48550/arXiv.2007.02643",
            16     "https://doi.org/10.48550/arXiv.2103.15429",
            17     "https://doi.org/10.1109/TKDE.2021.3101356",
            18     "https://doi.org/10.48550/arXiv.1711.09645",
            19     "https://doi.org/10.48550/arXiv.2009.07360",
            20     "https://doi.org/10.48550/arXiv.2303.01234",
            21     "https://doi.org/10.48550/arXiv.2110.08931"
            7   ], 22   ],
            8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 23   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 9   "defined_in": "https://doi.org/10.48550/arXiv.1905.05583", n 24   "defined_in": "https://doi.org/10.1109/TNNLS.2022.3212627",
            10   "doi": "10.57702/n5puzr61", 25   "doi": "10.57702/n5puzr61",
            11   "doi_date_published": "2024-11-25", 26   "doi_date_published": "2024-11-25",
            12   "doi_publisher": "TIB", 27   "doi_publisher": "TIB",
            13   "doi_status": true, 28   "doi_status": true,
            14   "domain": "https://service.tib.eu/ldmservice", 29   "domain": "https://service.tib.eu/ldmservice",
            15   "extra_authors": [ 30   "extra_authors": [
            16     { 31     {
            n 17       "extra_author": "Douwe Kiela", n 32       "extra_author": "Zhang Hui",
            18       "orcid": "" 33       "orcid": ""
            19     }, 34     },
            20     { 35     {
            n 21       "extra_author": "Holger Schwenk", n 36       "extra_author": "Lau Jia Jaw",
            22       "orcid": "" 37       "orcid": ""
            23     }, 38     },
            24     { 39     {
            n 25       "extra_author": "Loic Barrault", n 40       "extra_author": "Bryan Kian Hsiang Low",
            26       "orcid": "" 
            27     }, 
            28     { 
            29       "extra_author": "Antoine Bordes", 
            30       "orcid": "" 41       "orcid": ""
            31     } 42     }
            32   ], 43   ],
            n 33   "groups": [], n 44   "groups": [
            45     {
            46       "description": "",
            47       "display_name": "Active Learning",
            48       "id": "7a8304d1-a2a0-49f1-8179-50fbb399bd80",
            49       "image_display_url": "",
            50       "name": "active-learning",
            51       "title": "Active Learning"
            52     },
            53     {
            54       "description": "",
            55       "display_name": "Click-Through Rate Prediction",
            56       "id": "ffb2e223-b618-489d-8dc5-9e06290eed67",
            57       "image_display_url": "",
            58       "name": "click-through-rate-prediction",
            59       "title": "Click-Through Rate Prediction"
            60     },
            61     {
            62       "description": "",
            63       "display_name": "Heterogeneous Information Network",
            64       "id": "be319f6d-dfe9-4a85-be30-bba0b66b7413",
            65       "image_display_url": "",
            66       "name": "heterogeneous-information-network",
            67       "title": "Heterogeneous Information Network"
            68     },
            69     {
            70       "description": "",
            71       "display_name": "Language Modeling",
            72       "id": "f0c89329-f1ed-4ba3-90d2-5113fff9bf72",
            73       "image_display_url": "",
            74       "name": "language-modeling",
            75       "title": "Language Modeling"
            76     },
            77     {
            78       "description": "",
            79       "display_name": "Movie Database",
            80       "id": "f609bafd-3ae1-4e59-ab8f-10ee6032cf7d",
            81       "image_display_url": "",
            82       "name": "movie-database",
            83       "title": "Movie Database"
            84     },
            85     {
            86       "description": "",
            87       "display_name": "Movie Review Analysis",
            88       "id": "1e406509-db9e-4884-92b3-156b4b5e0d07",
            89       "image_display_url": "",
            90       "name": "movie-review-analysis",
            91       "title": "Movie Review Analysis"
            92     },
            93     {
            94       "description": "",
            95       "display_name": "Natural Language Processing",
            96       "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0",
            97       "image_display_url": "",
            98       "name": "natural-language-processing",
            99       "title": "Natural Language Processing"
            100     },
            101     {
            102       "description": "",
            103       "display_name": "Neural Machine Translation",
            104       "id": "7602a659-5e69-4c73-97f8-22a08c0522ad",
            105       "image_display_url": "",
            106       "name": "neural-machine-translation",
            107       "title": "Neural Machine Translation"
            108     },
            109     {
            110       "description": "",
            111       "display_name": "Semantic Hashing",
            112       "id": "b57b3dbb-708a-4d9b-b652-6270f484a0a4",
            113       "image_display_url": "",
            114       "name": "semantic-hashing",
            115       "title": "Semantic Hashing"
            116     },
            117     {
            118       "description": "",
            119       "display_name": "Sentiment Analysis",
            120       "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5",
            121       "image_display_url": "",
            122       "name": "sentiment-analysis",
            123       "title": "Sentiment Analysis"
            124     },
            125     {
            126       "description": "",
            127       "display_name": "Text Classification",
            128       "id": "0707d099-de73-41dc-85f6-93e4efa6bf14",
            129       "image_display_url": "",
            130       "name": "text-classification",
            131       "title": "Text Classification"
            132     }
            133   ],
            34   "id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19", 134   "id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19",
            35   "isopen": false, 135   "isopen": false,
            n 36   "landing_page": "http://bit.ly/2kRWoof", n 136   "landing_page": "https://www.imdb.com/",
            37   "license_title": null, 137   "license_title": null,
            38   "link_orkg": "", 138   "link_orkg": "",
            39   "metadata_created": "2024-11-25T14:19:14.945977", 139   "metadata_created": "2024-11-25T14:19:14.945977",
            n 40   "metadata_modified": "2024-11-25T14:35:08.996274", n 140   "metadata_modified": "2024-12-02T18:01:35.131141",
            41   "name": "imdb", 141   "name": "imdb",
            n 42   "notes": "The IMDb text classification dataset is used for sentiment  n 142   "notes": "The dataset used in the paper is not explicitly described, 
            43 analysis, demonstrating the effectiveness of the proposed method with  143 but it is mentioned that the authors tested the proposed method on 
            44 limited labeled examples.", 144 three real data sets for the most relevant security and privacy 
            145 attacks discussed above.",
            45   "num_resources": 1, 146   "num_resources": 0,
            46   "num_tags": 0, 147   "num_tags": 26,
            47   "organization": { 148   "organization": {
            48     "approval_status": "approved", 149     "approval_status": "approved",
            49     "created": "2024-11-25T12:11:38.292601", 150     "created": "2024-11-25T12:11:38.292601",
            50     "description": "", 151     "description": "",
            51     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 152     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            52     "image_url": "", 153     "image_url": "",
            53     "is_organization": true, 154     "is_organization": true,
            54     "name": "no-organization", 155     "name": "no-organization",
            55     "state": "active", 156     "state": "active",
            56     "title": "No Organization", 157     "title": "No Organization",
            57     "type": "organization" 158     "type": "organization"
            58   }, 159   },
            59   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 160   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            60   "private": false, 161   "private": false,
            61   "relationships_as_object": [], 162   "relationships_as_object": [],
            62   "relationships_as_subject": [], 163   "relationships_as_subject": [],
            n 63   "resources": [ n 164   "resources": [],
            64     { 165   "services_used_list": "",
            65       "cache_last_updated": null, 
            66       "cache_url": null, 
            67       "created": "2024-11-25T15:30:26", 
            68       "data": [ 
            69         "dcterms:title", 
            70         "dcterms:accessRights", 
            71         "dcterms:creator", 
            72         "dcterms:description", 
            73         "dcterms:issued", 
            74         "dcterms:language", 
            75         "dcterms:identifier", 
            76         "dcat:theme", 
            77         "dcterms:type", 
            78         "dcat:keyword", 
            79         "dcat:landingPage", 
            80         "dcterms:hasVersion", 
            81         "dcterms:format", 
            82         "mls:task", 
            83         "datacite:isDescribedBy" 
            84       ], 
            85       "description": "The json representation of the dataset with its  
            86 distributions based on DCAT.", 
            87       "format": "JSON", 
            88       "hash": "", 
            89       "id": "f19baa49-f6d4-4778-8933-bc0c3af1111a", 
            90       "last_modified": "2024-11-25T14:35:08.989471", 
            91       "metadata_modified": "2024-11-25T14:35:08.999275", 
            92       "mimetype": "application/json", 
            93       "mimetype_inner": null, 
            94       "name": "Original Metadata", 
            95       "package_id": "55b2a2d9-15e8-4b22-b024-aaee7cda9d19", 
            96       "position": 0, 
            97       "resource_type": null, 
            98       "size": 948, 
            99       "state": "active", 166   "state": "active",
            100       "url":  167   "tags": [
            101 resource/f19baa49-f6d4-4778-8933-bc0c3af1111a/download/metadata.json", 168     {
            102       "url_type": "upload" 169       "display_name": "Active Learning",
            170       "id": "a8357cc2-9e98-47aa-af5e-aa49c61e75db",
            171       "name": "Active Learning",
            172       "state": "active",
            173       "vocabulary_id": null
            174     },
            175     {
            176       "display_name": "Actor",
            177       "id": "7ccca9cc-4968-40ba-9dcd-48895742dfd1",
            178       "name": "Actor",
            179       "state": "active",
            180       "vocabulary_id": null
            181     },
            182     {
            183       "display_name": "Director",
            184       "id": "69aec2d6-e043-4e82-b265-cab0f0dbc88b",
            185       "name": "Director",
            186       "state": "active",
            187       "vocabulary_id": null
            188     },
            189     {
            190       "display_name": "Diversity Sampling",
            191       "id": "470abd32-5f95-4d6f-b750-1202b99fccd6",
            192       "name": "Diversity Sampling",
            193       "state": "active",
            194       "vocabulary_id": null
            195     },
            196     {
            197       "display_name": "IMDB",
            198       "id": "3d0a8380-7f3f-4a53-907a-5f0c888f6557",
            199       "name": "IMDB",
            200       "state": "active",
            201       "vocabulary_id": null
            202     },
            203     {
            204       "display_name": "IMDB dataset",
            205       "id": "641eddef-34ee-4044-afdc-cbe770866450",
            206       "name": "IMDB dataset",
            207       "state": "active",
            208       "vocabulary_id": null
            209     },
            210     {
            211       "display_name": "Movie",
            212       "id": "e665afc9-d89d-4f4f-8cf1-8fb8b229dc72",
            213       "name": "Movie",
            214       "state": "active",
            215       "vocabulary_id": null
            216     },
            217     {
            218       "display_name": "Movie Review Analysis",
            219       "id": "cbb54605-5cf0-4b31-978b-591886df0110",
            220       "name": "Movie Review Analysis",
            221       "state": "active",
            222       "vocabulary_id": null
            223     },
            224     {
            225       "display_name": "Movie Reviews",
            226       "id": "59753ff1-2a99-4c10-bb0e-cf07e0328dd5",
            227       "name": "Movie Reviews",
            228       "state": "active",
            229       "vocabulary_id": null
            230     },
            231     {
            232       "display_name": "Natural Language Processing",
            233       "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe",
            234       "name": "Natural Language Processing",
            235       "state": "active",
            236       "vocabulary_id": null
            237     },
            238     {
            239       "display_name": "Sentiment Analysis",
            240       "id": "8523cc06-351a-4eef-b126-04451cbc0d13",
            241       "name": "Sentiment Analysis",
            242       "state": "active",
            243       "vocabulary_id": null
            244     },
            245     {
            246       "display_name": "Text Classification",
            247       "id": "daa24bd4-9e49-4ef5-870a-f51681ab0a20",
            248       "name": "Text Classification",
            249       "state": "active",
            250       "vocabulary_id": null
            251     },
            252     {
            253       "display_name": "Uncertainty Sampling",
            254       "id": "1fa4fb50-88d5-4b61-925c-803dcc426b95",
            255       "name": "Uncertainty Sampling",
            256       "state": "active",
            257       "vocabulary_id": null
            258     },
            259     {
            260       "display_name": "adversarial examples",
            261       "id": "275f5a88-6f12-4411-84d2-3dc61a9c5013",
            262       "name": "adversarial examples",
            263       "state": "active",
            264       "vocabulary_id": null
            265     },
            266     {
            267       "display_name": "click-through rate prediction",
            268       "id": "f66389e6-c5f9-4c39-94ab-0f8ec2b185d5",
            269       "name": "click-through rate prediction",
            270       "state": "active",
            271       "vocabulary_id": null
            272     },
            273     {
            274       "display_name": "database",
            275       "id": "2cd76710-0436-4df5-9f46-64ddd9841b46",
            276       "name": "database",
            277       "state": "active",
            278       "vocabulary_id": null
            279     },
            280     {
            281       "display_name": "heterogeneous information network",
            282       "id": "6751708f-bea2-43e4-b618-e5a499930bc3",
            283       "name": "heterogeneous information network",
            284       "state": "active",
            285       "vocabulary_id": null
            286     },
            287     {
            288       "display_name": "language modeling",
            289       "id": "44eb2c4c-e2cd-4698-bf3c-28ebbd5e3e42",
            290       "name": "language modeling",
            291       "state": "active",
            292       "vocabulary_id": null
            293     },
            294     {
            295       "display_name": "movie reviews",
            296       "id": "50bfc758-267e-45ec-b907-877ef824c510",
            297       "name": "movie reviews",
            298       "state": "active",
            299       "vocabulary_id": null
            300     },
            301     {
            302       "display_name": "movies",
            303       "id": "2703ed1c-3434-4421-8341-ea0fc8babf05",
            304       "name": "movies",
            305       "state": "active",
            306       "vocabulary_id": null
            307     },
            308     {
            309       "display_name": "neural machine translation",
            310       "id": "d5a5cc9e-64db-444b-83af-9f1d0b9e1030",
            311       "name": "neural machine translation",
            312       "state": "active",
            313       "vocabulary_id": null
            314     },
            315     {
            316       "display_name": "object classi\ufb01cation",
            317       "id": "88aab438-9fb5-473e-9148-250fd13209df",
            318       "name": "object classi\ufb01cation",
            319       "state": "active",
            320       "vocabulary_id": null
            321     },
            322     {
            323       "display_name": "semantic hashing",
            324       "id": "251600e5-5824-4127-a19a-6edf6619b6d8",
            325       "name": "semantic hashing",
            326       "state": "active",
            327       "vocabulary_id": null
            328     },
            329     {
            330       "display_name": "sentiment analysis",
            331       "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63",
            332       "name": "sentiment analysis",
            333       "state": "active",
            334       "vocabulary_id": null
            335     },
            336     {
            337       "display_name": "text classification",
            338       "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d",
            339       "name": "text classification",
            340       "state": "active",
            341       "vocabulary_id": null
            342     },
            343     {
            344       "display_name": "text documents",
            345       "id": "fc5d22c3-e0d0-45c6-b5dd-1eeb8739694f",
            346       "name": "text documents",
            347       "state": "active",
            348       "vocabulary_id": null
            103     } 349     }
            104   ], 350   ],
            t 105   "services_used_list": "", t 
            106   "state": "active", 
            107   "tags": [], 
            108   "title": "IMDb", 351   "title": "IMDB",
            109   "type": "dataset", 352   "type": "dataset",
            110   "version": "" 353   "version": ""
            111 } 354 }