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dc.contributor.author Malenšek, Miha
dc.contributor.author Krajnc, Saša
dc.contributor.author Križnar, Primož
dc.contributor.author Završnik, Aleš
dc.contributor.author Bajec, Marko
dc.contributor.author Žitnik, Slavko
dc.date.accessioned 2026-03-20T12:19:45Z
dc.date.available 2026-03-20T12:19:45Z
dc.date.issued 2026-03-19
dc.identifier.uri http://hdl.handle.net/11356/2100
dc.description SLawNLI is a human-annotated dataset for Natural Language Inference (NLI) in the Slovenian legal domain. It contains 2,214 examples constructed according to the standard NLI schema (premise, hypothesis, label). The dataset was annotated by four master's students of the Faculty of Law. All examples were hand-validated by a researcher from the Institute of Criminology and a practicing lawyer. The dataset is derived from four Slovenian laws: - Kazenski zakonik (KZ-1) — Criminal Code (https://pisrs.si/pregledPredpisa?id=ZAKO5050) - Stvarnopravni zakonik (SPZ) — Law of Property Code (https://pisrs.si/pregledPredpisa?id=ZAKO3242) - Zakon o varstvu osebnih podatkov (ZVOP-2) — Personal Data Protection Act (https://pisrs.si/pregledPredpisa?id=ZAKO7959) - Obligacijski zakonik (OZ) — Obligations Code (https://pisrs.si/pregledPredpisa?id=ZAKO1263) The dataset is provided in JSONL format.
dc.language.iso slv
dc.publisher Faculty of Computer and Information Science, University of Ljubljana
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label PUB
dc.source.uri https://www.cjvt.si/llm4dh/
dc.subject natural language inference
dc.subject Slovenian law
dc.title Slovenian legal natural language inference dataset SLawNLI
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Miha Malenšek miha.malensek@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
sponsor ARIS (Slovenian Research and Innovation Agency) GC-0002 LLM4DH: Large Language Models for Digital Humanities nationalFunds
size.info 2214 units
files.count 1
files.size 281759


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