All datasets / kz-transformers
kz-transformers/kk-socio-cultural-bench-mc
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at bac9e9f
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at bac9e9f
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Citation text from the card
If you use this dataset, please cite the following paper:
```bibtex
@inproceedings{umbet-etal-2025-kazbench,
title = "{K}az{B}ench-{KK}: A Cultural-Knowledge Benchmark for {K}azakh",
author = "Umbet, Sanzhar and
Murzakhmetov, Sanzhar and
Sagyndyk, Beksultan and
Yakunin, Kirill and
Akishev, Timur and
Zubitski, Pavel",
editor = "Le Ferrand, {\'E}ric and
Klyachko, Elena and
Postnikova, Anna and
Shavrina, Tatiana and
Serikov, Oleg and
Voloshina, Ekaterina and
Vylomova, Ekaterina",
booktitle = "Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics",
month = aug,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.fieldmatters-1.4/",
pages = "38--57",
ISBN = "979-8-89176-282-4",
abstract = "We introduce KazBench-KK, a comprehensive 7,111-question multiple-choice benchmark designed to assess large language models' understanding of culturally grounded Kazakh knowledge. By combining expert-curated topics with LLM-assisted web mining, we create a diverse dataset spanning 17 culturally salient domains, including pastoral traditions, social hierarchies, and contemporary politics. Beyond evaluation, KazBench-KK serves as a practical tool for field linguists, enabling rapid lexical elicitation, glossing, and topic prioritization. Our benchmarking of various op
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dataset_licence({ "id": "kz-transformers/kk-socio-cultural-bench-mc" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0