Update README.md

README.md

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 ![Overview](./images_readme/tasks.png)
 
+This version includes all images in the dataset. For a more lightweight and accessible alternative, please refer to the (1.1 release)[https://huggingface.co/datasets/worldcuisines/vqa-v1.1/] which reduces download size while preserving all text and metadata.
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+The paper was accepted to NAACL 2025 and received the Best Theme Paper award 🏆.
+
 WorldCuisines is a massive-scale visual question answering (VQA) benchmark for multilingual and multicultural understanding through global cuisines. The dataset contains 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 as of 17 October 2024.
 
 ## Overview
@@ -169,17 +173,18 @@ Our research focuses on evaluating VLMs within the context of multilingual and m
 
 ## Contact
 
-E-mail: [Genta Indra Winata](genta.winata@capitalone.com) and [Frederikus Hudi](frederikus.hudi.fe7@is.naist.jp)
+E-mail: [Genta Indra Winata](genta.winata@capitalone.com), [Frederikus Hudi](frederikus.hudi.fe7@is.naist.jp), or [David Anugraha](david.anugraha@stanford.edu)
 
 ## Citation
 
 If you find this dataset useful, please cite the following works
 
 ```bibtex
-@article{winata2024worldcuisines,
-  title={WorldCuisines: 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 Wang, Yutong and Nohejl, Adam and Prathama, Ubaidillah Ariq and Ousidhoum, Nedjma and Amriani, Afifa and others},
-  journal={arXiv preprint arXiv:2410.12705},
-  year={2024}
+@inproceedings{winata2025worldcuisines,
+  title={Worldcuisines: 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 others},
+  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)},
+  pages={3242--3264},
+  year={2025}
 }
 ```