llm-for-emotion/Cultural-Emo
CulEmo Cultural Lenses on Emotion (CuLEmo) is the first benchmark to evaluate culture-aware emotion prediction across six languages: Amharic, Arabic, English, German, Hindi, and Spanish. It comprises 400 crafted questions per language, each requiring nuanced cultural reasoning and understanding. It is designed for evaluating LLMs in Sentiment analysis and emotion prediction. If you use this dataset, cite the paper below. BibTeX entry and citation info.… See the full description on the dataset page: https://huggingface.co/datasets/llm-for-emotion/Cultural-Emo.
CulEmo
Cultural Lenses on Emotion (CuLEmo) is the first benchmark to evaluate culture-aware emotion prediction across six languages: Amharic, Arabic, English, German, Hindi, and Spanish. It comprises 400 crafted questions per language, each requiring nuanced cultural reasoning and understanding. It is designed for evaluating LLMs in Sentiment analysis and emotion prediction. If you use this dataset, cite the paper below.
BibTeX entry and citation info.
@article{belay2025culemo,
title={CULEMO: Cultural Lenses on Emotion--Benchmarking LLMs for Cross-Cultural Emotion Understanding},
author={Belay, Tadesse Destaw and Ahmed, Ahmed Haj and Grissom II, Alvin and Ameer, Iqra and Sidorov, Grigori and Kolesnikova, Olga and Yimam, Seid Muhie},
journal={arXiv preprint arXiv:2503.10688},
year={2025}
}