Published December 3, 2025 | Version 1.0
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KCoEM(Korean Color Emotion Mapping) Dataset

Authors/Creators

  • 1. ROR icon Academy of Korean Studies

Description

The KCoEM (Korean Color–Emotion Mapping) dataset is a structured color–emotion mapping resource that aligns the 44 emotion categories of KOTE with their corresponding Korean and English emotion labels. Rather than arbitrarily assigning colors to emotion categories, the dataset was systematically constructed through an extensive review and integration of empirical findings from prior studies in color psychology and emotion–color association research. The resulting dataset consists of a total of 235 emotion–color mapping entries, providing a grounded reference for linking linguistic representations of emotion with their visual color attributes.

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Additional details

References

  • AKS-DHLAB. (2025). KPoEM [Data set]. Hugging Face. https://doi.org/10.57967/hf/6303
  • Jeon, D., Lee, J., & Kim, C. (2024). KOTE: Korean online That-gul emotions dataset. In Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2024) (pp. 17254–17270). European Language Resources Association. https://aclanthology.org/2024.lrec-main.1499
  • Lim, I., Ji, H., & Kim, B. (2025). Decoding the poetic language of emotion in Korean modern poetry: Insights from a human-labeled dataset and AI modeling. arXiv. https://arxiv.org/abs/2509.03932