Dataset · Hugging Face

Immortal-Zhang/mJev-Compositional-VQA

Name: mJev-Compositional-VQA
Creator: Immortal-Zhang
License: other
Keywords: task_categories:visual-question-answering, language:zh, license:other, size_categories:n<1K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, multimodal, multiple-choice, compositional-reasoning

mJev-Compositional-VQA English | 简体中文 mJev-Compositional-VQA is a human-reviewed Chinese visual question answering dataset for mJev-style candidate-based evaluation containing 193 questions grounded in 100 images. It evaluates compositional visual grounding: selecting a target by combining visible attributes, spatial relations and reference objects. The release contains natural photographs from COCO, Open Images and Places365, paired with structured Jev questions and… See the full description on the dataset page: https://huggingface.co/datasets/Immortal-Zhang/mJev-Compositional-VQA.

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Author / organization	Immortal-Zhang
License (as declared)	other
Downloads	210 (as reported by Hugging Face)
Likes	0
Created	27 September 2026
Last updated at source	28 September 2026

multimodalmultiple-choicecompositional-reasoninghuman-reviewedmjevvisual-grounding

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