Show simple item record Žagar, Aleš Kavaš, Matic Robnik-Šikonja, Marko Erjavec, Tomaž Fišer, Darja Ljubešić, Nikola Ferme, Marko Borovič, Mladen Boškovič, Borko Ojsteršek, Milan Hrovat, Goran 2022-02-10T09:35:00Z 2022-02-10T09:35:00Z 2022-02-04
dc.description Summarization datasets were created from the text bodies in the KAS 2.0 corpus ( and the abstracts from the KAS-Abs 2.0 corpus ( The monolingual slo2slo dataset contains 69,730 Slovene abstracts and Slovene body texts. The cross-lingual slo2eng dataset contains 52,351 Slovene body texts and English abstracts. It is suitable for building cross-lingual summarization models. Total number of words represent the sum of words in bodies, Slovene abstracts, and English abstracts. The files are stored in the same manner as the complete KAS corpus, i.e. in 1,000 directories with the same filename prefix as in KAS. They are in the JSON format that contains chapter segmented text. In addition to a unique chapter ID, each JSON file contains a key titled “abstract” that contains a list with abstract text as its first element. The file with the metadata for the corpus texts is also included. The datasets are suitable for training monolingual Slovene summarization models and cross-lingual Slovene-English summarization models on long texts. References: Žagar, A., Kavaš, M., & Robnik Šikonja, M. (2021). Corpus KAS 2.0: cleaner and with new datasets. In Information Society - IS 2021: Proceedings of the 24th International Multiconference.
dc.language.iso slv
dc.language.iso eng
dc.publisher Faculty of Electrical Engineering and Computer Science, University of Maribor
dc.publisher Faculty of Computer and Information Science, University of Ljubljana
dc.relation info:eu-repo/grantAgreement/EC/H2020/825153
dc.rights CLARIN.SI Licence ACA ID-BY-NC-INF-NORED 1.0
dc.rights.label ACA
dc.subject abstracts
dc.subject PhD theses
dc.subject MSc/MA theses
dc.subject BSc/BA theses
dc.subject academic writing
dc.subject text summarization
dc.title Summarization datasets from the KAS corpus KAS-Sum 1.0
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Aleš Žagar Faculty of Computer and Information Science
sponsor Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds
sponsor Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other
sponsor European Union EC/H2020/825153 EMBEDDIA - Cross-Lingual Embeddings for Less-Represented Languages in European News Media euFunds info:eu-repo/grantAgreement/EC/H2020/825153
sponsor ARRS (Slovenian Research Agency) J6-2581 Računalniško podprta večjezična analiza novičarskega diskurza s kontekstualnimi besednimi vložitvami nationalFunds 122081 texts 1079637118 words
files.count 1
files.size 4414817806

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