All datasets / slovak-nlp
slovak-nlp/sklep
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- other, from the tagEvidence: README.md at 10549a8
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 10549a8
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{suppa-etal-2025-sklep,
title = "sk{LEP}: A {S}lovak General Language Understanding Benchmark",
author = "Suppa, Marek and
Ridzik, Andrej and
Hl{\'a}dek, Daniel and
Jav{\r{u}}rek, Tom{\'a}{\v{s}} and
Ondrejov{\'a}, Vikt{\'o}ria and
S{\'a}sikov{\'a}, Krist{\'i}na and
Tamajka, Martin and
Simko, Marian",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-acl.1371/",
pages = "26716--26743",
ISBN = "979-8-89176-256-5",
abstract = "In this work, we introduce skLEP, the first comprehensive benchmark specifically designed for evaluating Slovak natural language understanding (NLU) models. We have compiled skLEP to encompass nine diverse tasks that span token-level, sentence-pair, and document-level challenges, thereby offering a thorough assessment of model capabilities. To create this benchmark, we curated new, original datasets tailored for Slovak and meticulously translated established English NLU resources. Within this paper, we also present the first systematic and extensive evaluation of a wide array of Slovak-specific, multilingual, and English pre-trained language
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dataset_licence({ "id": "slovak-nlp/sklep" })
signal: "unclear"
stated_licence: "other"
sources: 0