NAACL 2025long11 citations

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Wang Yutong, Adam Nohejl, Ubaidillah Ariq Prathama

Abstract

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a massive-scale benchmark for multilingual and multicultural, visually grounded language understanding. This benchmark includes a visual question answering (VQA) dataset with text-image pairs across 30 languages and dialects, spanning 9 language families and featuring over 1 million data points, making it the largest multicultural VQA benchmark to date. It includes tasks for identifying dish names and their origins. We provide evaluation datasets in two sizes (12k and 60k instances) alongside a training dataset (1 million instances). Our findings show that while VLMs perform better with correct location context, they struggle with adversarial contexts and predicting specific regional cuisines and languages. To support future research, we release a knowledge base with annotated food entries and images along with the VQA data.

BibTeX
@inproceedings{winata-etal-2025-worldcuisines,
    title = "{W}orld{C}uisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines",
    author = "Winata, Genta Indra  and
      Hudi, Frederikus  and
      Irawan, Patrick Amadeus  and
      Anugraha, David  and
      Putri, Rifki Afina  and
      Yutong, Wang  and
      Nohejl, Adam  and
      Prathama, Ubaidillah Ariq  and
      Ousidhoum, Nedjma  and
      Amriani, Afifa  and
      Rzayev, Anar  and
      Das, Anirban  and
      Pramodya, Ashmari  and
      Adila, Aulia  and
      Wilie, Bryan  and
      Mawalim, Candy Olivia  and
      Lam, Cheng Ching  and
      Abolade, Daud  and
      Chersoni, Emmanuele  and
      Santus, Enrico  and
      Ikhwantri, Fariz  and
      Kuwanto, Garry  and
      Zhao, Hanyang  and
      Wibowo, Haryo Akbarianto  and
      Lovenia, Holy  and
      Cruz, Jan Christian Blaise  and
      Putra, Jan Wira Gotama  and
      Myung, Junho  and
      Susanto, Lucky  and
      Machin, Maria Angelica Riera  and
      Zhukova, Marina  and
      Anugraha, Michael  and
      Adilazuarda, Muhammad Farid  and
      Santosa, Natasha Christabelle  and
      Limkonchotiwat, Peerat  and
      Dabre, Raj  and
      Audino, Rio Alexander  and
      Cahyawijaya, Samuel  and
      Zhang, Shi-Xiong  and
      Salim, Stephanie Yulia  and
      Zhou, Yi  and
      Gui, Yinxuan  and
      Adelani, David Ifeoluwa  and
      Lee, En-Shiun Annie  and
      Okada, Shogo  and
      Purwarianti, Ayu  and
      Aji, Alham Fikri  and
      Watanabe, Taro  and
      Wijaya, Derry Tanti  and
      Oh, Alice  and
      Ngo, Chong-Wah",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-long.167/",
    pages = "3242--3264",
    ISBN = "979-8-89176-189-6"
}
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines · NAACL 2025