| 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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