kyawyethu/MixCuBe
MixCuBe (Mixed Culture Benchmark) This dataset accompanies the paper, WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts. In a highly globalized world, it is important for multi-modal large language models (MLLMs) to recognize and respond correctly to mixed-cultural inputs, where the elements in the input represent multiple cultures. For example, a model should correctly identify kimchi (Korean food) in an image… See the full description on the dataset page: https://huggingface.co/datasets/kyawyethu/MixCuBe.
| Author / organization | kyawyethu |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 725 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 29 January 2025 |
| Last updated at source | 24 March 2025 |
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- 17 Oct 2026 Description: MixCuBe (Mixed Culture Benchmark) This dataset accompanies the paper, WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts. In a highly globalized world, it is important for mu → MixCuBe (Mixed Culture Benchmark) This dataset accompanies the paper, WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts. In a highly globalized world, it is important for mu
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.