--- license: cc-by-4.0 license_name: cc-by-4.0 license_link: LICENSE language: - tl --- # Kalahi [Kalahi](https://arxiv.org/abs/2409.15380) is a high-quality, manually-crafted cultural dataset that is part of [SEA-HELM](https://leaderboard.sea-lion.ai/). It was collaboratively created by native Filipino speakers and designed to determine LLMs’ abilities to provide relevant responses to culturally-specific situations that Filipinos face in their day-to-day lives. ## Dataset Details Kalahi is composed of 150 situationally-enriched prompts and culturally relevant and irrelevant responses that cover shared Filipino cultural knowledge and values. The cultural topics covered in Kalahi are: | Cultural Topic | # of prompts | |-------------------------------|:------------:| beauty and clothing | 16 | beliefs and practices | 4 | career and livelihood | 20 | communication and body language | 5 | dating and courtship | 6 | family and marriage | 16 | food and gatherings | 18 | friendship | 7 | health and wellness | 13 | local know-how | 19 | social etiquette | 26 | ### Limitations While Kalahi is the result of the consensus views of the involved native Filipino speakers, the Filipino culture in this study refers only to cultural values acquired by Filipino speakers who were born and grew up in or at least spent most of their lives in Metro Manila. Individuals who have had different upbringings may have different perspectives on Filipino culture, such that the consensus view arrived at in this study does not fully represent the opinions of all Filipino individuals. Additionally, while Kalahi is designed to accurately represent Filipino culture, it is not intended to encompass all possible aspects of Filipino culture. ### License This dataset is made available under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). ## References ```bibtex @misc{montalan2024kalahihandcraftedgrassrootscultural, title={Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino}, author={Jann Railey Montalan and Jian Gang Ngui and Wei Qi Leong and Yosephine Susanto and Hamsawardhini Rengarajan and William Chandra Tjhi and Alham Fikri Aji}, year={2024}, eprint={2409.15380}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2409.15380}, } ```