{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34820/FK2/HDQ1OJ","identifier":"https://doi.org/10.34820/FK2/HDQ1OJ","name":"Indonesian Translation of the Hadith of Bukhari (Multi-label)","creator":[{"name":"Adiwijaya, Adiwijaya","affiliation":"Fakultas Informatika, Data Science"},{"name":"Al-Faraby, Said","affiliation":"Fakultas Informatika, Data Science"}],"author":[{"name":"Adiwijaya, Adiwijaya","affiliation":"Fakultas Informatika, Data Science"},{"name":"Al-Faraby, Said","affiliation":"Fakultas Informatika, Data Science"}],"datePublished":"2023-10-05","dateModified":"2023-10-05","version":"1","description":["This dataset contains the Indonesian translation of the hadith of Bukhari in the text representation. Each text in the dataset has been categorized into Anjuran (suggestion), Larangan (prohibition), and/or Informasi (information) classes, which are validated by a hadith expert."],"keywords":["Computer and Information Science","Social Sciences","Text Data","Hadith Data"],"citation":[{"@type":"CreativeWork","text":"M. Y. Abu Bakar, Adiwijaya and S. A. Faraby, \"Multi-Label Topic Classification of Hadith of Bukhari (Indonesian Language Translation)Using Information Gain and Backpropagation Neural Network,\" 2018 International Conference on Asian Language Processing (IALP), 2018, pp. 344-350","@id":"https://ieeexplore.ieee.org/document/8629263","identifier":"https://ieeexplore.ieee.org/document/8629263"},{"@type":"CreativeWork","text":"Mediamer, G. and Adiwijaya, F., SA (2019).“Development of Rule-Based Feature Extraction in Multi-label Text Classification”. International Journal on Advanced Science, Engineering and Information Technology, 9(4), pp.1460-1465","@id":"http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/8894","identifier":"http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/8894"}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Telkom University Dataverse","url":"https://dataverse.telkomuniversity.ac.id"},"publisher":{"@type":"Organization","name":"Telkom University Dataverse"},"provider":{"@type":"Organization","name":"Telkom University Dataverse"},"distribution":[{"@type":"DataDownload","name":"data_testing.csv","fileFormat":"text/csv","contentSize":136388,"@id":"https://doi.org/10.34820/FK2/HDQ1OJ/ZMXTGU","identifier":"https://doi.org/10.34820/FK2/HDQ1OJ/ZMXTGU","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/119"},{"@type":"DataDownload","name":"data_training.csv","fileFormat":"text/csv","contentSize":2766015,"@id":"https://doi.org/10.34820/FK2/HDQ1OJ/TYTI0H","identifier":"https://doi.org/10.34820/FK2/HDQ1OJ/TYTI0H","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/118"}]}