f | { | f | { |
| "access_rights": "", | | "access_rights": "", |
n | "author": "Shlomo E. Chazan", | n | "author": "Rie Johnson", |
| "author_email": "", | | "author_email": "", |
n | "citation": [ | n | "citation": [], |
| "https://doi.org/10.48550/arXiv.1606.04838", | | |
| "https://doi.org/10.48550/arXiv.1812.06535" | | |
| ], | | |
| "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", |
n | "defined_in": "https://doi.org/10.48550/arXiv.2101.00052", | n | "defined_in": "https://doi.org/10.48550/arXiv.1412.1058", |
| "doi": "10.57702/jffbfebe", | | "doi": "10.57702/jffbfebe", |
| "doi_date_published": "2024-12-03", | | "doi_date_published": "2024-12-03", |
| "doi_publisher": "TIB", | | "doi_publisher": "TIB", |
| "doi_status": true, | | "doi_status": true, |
| "domain": "https://service.tib.eu/ldmservice", | | "domain": "https://service.tib.eu/ldmservice", |
| "extra_authors": [ | | "extra_authors": [ |
| { | | { |
n | "extra_author": "Sharon Gannot", | n | "extra_author": "Tong Zhang", |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Jacob Goldberger", | | |
| "orcid": "" | | "orcid": "" |
| } | | } |
| ], | | ], |
| "groups": [ | | "groups": [ |
| { | | { |
| "description": "", | | "description": "", |
n | "display_name": "Federated Learning", | n | "display_name": "Topic Modeling", |
| "id": "549ea2f0-af79-4ec6-8518-504c49ad892b", | | "id": "8489cf7c-10d2-41e4-8c26-4be59dc15710", |
| "image_display_url": "", | | "image_display_url": "", |
n | "name": "federated-learning", | n | "name": "topic-modeling", |
| "title": "Federated Learning" | | "title": "Topic Modeling" |
| }, | | |
| { | | |
| "description": "", | | |
| "display_name": "Text Classification", | | |
| "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | | |
| "image_display_url": "", | | |
| "name": "text-classification", | | |
| "title": "Text Classification" | | |
| } | | } |
| ], | | ], |
| "id": "efc92884-5e64-42b1-a0f9-ea4fa762cf5e", | | "id": "efc92884-5e64-42b1-a0f9-ea4fa762cf5e", |
| "isopen": false, | | "isopen": false, |
n | "landing_page": "https://www.cs.cornell.edu/~cst2118/RCV1/", | n | "landing_page": "https://riejohnson.com/cnn_data.html", |
| "license_title": null, | | "license_title": null, |
| "link_orkg": "", | | "link_orkg": "", |
| "metadata_created": "2024-12-03T09:53:56.450659", | | "metadata_created": "2024-12-03T09:53:56.450659", |
n | "metadata_modified": "2024-12-03T09:53:56.806906", | n | "metadata_modified": "2024-12-03T09:59:13.504750", |
| "name": "rcv1-dataset", | | "name": "rcv1-dataset", |
n | "notes": "The RCV1 dataset is used for predicting categories of | n | "notes": "The RCV1 dataset is a corpus of Reuters news articles.", |
| newswire stories recently collected by Reuters. Ltd. The RCV1 can be | | |
| naturally partitioned based on news category and used for federated | | |
| learning experiments, since readers may only be interested in one or | | |
| two categories of news and the model training process will mimic the | | |
| personalized privacy-preserving news recommender system, for which | | |
| reader history is located on a user\u2019s personal devices.", | | |
| "num_resources": 1, | | "num_resources": 0, |
| "num_tags": 5, | | "num_tags": 2, |
| "organization": { | | "organization": { |
| "approval_status": "approved", | | "approval_status": "approved", |
| "created": "2024-11-25T12:11:38.292601", | | "created": "2024-11-25T12:11:38.292601", |
| "description": "", | | "description": "", |
| "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", |
| "image_url": "", | | "image_url": "", |
| "is_organization": true, | | "is_organization": true, |
| "name": "no-organization", | | "name": "no-organization", |
| "state": "active", | | "state": "active", |
| "title": "No Organization", | | "title": "No Organization", |
| "type": "organization" | | "type": "organization" |
| }, | | }, |
| "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", |
| "private": false, | | "private": false, |
| "relationships_as_object": [], | | "relationships_as_object": [], |
| "relationships_as_subject": [], | | "relationships_as_subject": [], |
n | "resources": [ | n | "resources": [], |
| { | | |
| "cache_last_updated": null, | | |
| "cache_url": null, | | |
| "created": "2024-12-03T10:49:30", | | |
| "data": [ | | |
| "dcterms:title", | | |
| "dcterms:accessRights", | | |
| "dcterms:creator", | | |
| "dcterms:description", | | |
| "dcterms:issued", | | |
| "dcterms:language", | | |
| "dcterms:identifier", | | |
| "dcat:theme", | | |
| "dcterms:type", | | |
| "dcat:keyword", | | |
| "dcat:landingPage", | | |
| "dcterms:hasVersion", | | |
| "dcterms:format", | | |
| "mls:task", | | |
| "datacite:isDescribedBy" | | |
| ], | | |
| "description": "The json representation of the dataset with its | | |
| distributions based on DCAT.", | | |
| "format": "JSON", | | |
| "hash": "", | | |
| "id": "32e09c73-9264-488f-81fb-25d267f15d30", | | |
| "last_modified": "2024-12-03T09:53:56.799713", | | |
| "metadata_modified": "2024-12-03T09:53:56.809731", | | |
| "mimetype": "application/json", | | |
| "mimetype_inner": null, | | |
| "name": "Original Metadata", | | |
| "package_id": "efc92884-5e64-42b1-a0f9-ea4fa762cf5e", | | |
| "position": 0, | | |
| "resource_type": null, | | |
| "size": 1190, | | |
| "state": "active", | | |
| "url": | | |
| resource/32e09c73-9264-488f-81fb-25d267f15d30/download/metadata.json", | | |
| "url_type": "upload" | | |
| } | | |
| ], | | |
| "services_used_list": "", | | "services_used_list": "", |
| "state": "active", | | "state": "active", |
| "tags": [ | | "tags": [ |
| { | | { |
n | "display_name": "RCV1", | n | "display_name": "News Articles", |
| "id": "80cd6a25-a382-44b8-ab19-787b6ba1a907", | | "id": "3e313f3f-0961-4610-aa8c-43a6bbab375e", |
| "name": "RCV1", | | "name": "News Articles", |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| }, | | }, |
| { | | { |
n | "display_name": "federated learning", | n | |
| "id": "be51f0ba-a6f8-40e4-bd0f-c50ea8cb2ce5", | | |
| "name": "federated learning", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "news categorization", | | |
| "id": "2f79626e-85d3-4c01-b4a8-7db37274741f", | | |
| "name": "news categorization", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "text classification", | | |
| "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | | |
| "name": "text classification", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "topics", | | "display_name": "Topic Modeling", |
| "id": "ce1d71a6-c057-4584-8957-7a46b02becc4", | | "id": "59a3495c-23b6-4877-a39d-4d262e67fa3e", |
| "name": "topics", | | "name": "Topic Modeling", |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| } | | } |
| ], | | ], |
t | "title": "RCV1 dataset", | t | "title": "RCV1 Dataset", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |