Dataset · Hugging Face

QCRI/MMCQA-SemEval27

Name: MMCQA-SemEval27
Creator: QCRI
License: cc-by-nc-4.0
Keywords: language:ar, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:parquet, modality:audio, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2510.06371, region:us, multimodal

MMCultureQA (SemEval 2027) 🖼️🗣️ This is the dataset for MMCultureQA, the SemEval 2027 shared task on culturally grounded visual question answering in English and Arabic. A system is given an image and a question about it, and writes a short open-ended answer. The question is given either as audio or as text. Many questions are about food, places, customs, and objects, so the right answer often depends on local knowledge rather than on what is plainly visible in the image. For… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/MMCQA-SemEval27.

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Author / organization	QCRI
License (as declared)	cc-by-nc-4.0
Downloads	1.9K (as reported by Hugging Face)
Likes	17
Created	14 June 2026
Last updated at source	11 October 2026

multimodalarabicvisual-question-answeringspeechcultureopen-ended-qa

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