Dataset · Hugging Face

Project-AgML/PlantExpertVQA

Name: PlantExpertVQA
Creator: Project-AgML
License: cc-by-nc-4.0
Keywords: task_categories:image-text-to-text, language:en, license:cc-by-nc-4.0, size_categories:1M<n<10M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2508.17117, region:us

PlantExpertVQA PlantExpertVQA is a large-scale visual question answering (VQA) dataset built to advance vision-language models for agricultural decision-making and interactive plant disease diagnosis. It is compiled from 45 open-source datasets (including the widely-used PlantVillage corpus) and comprises 765,186 expert-verified question-answer pairs grounded over 150,841 images, spanning 38 crop species and 89 disease conditions. This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PlantExpertVQA.

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Author / organization	Project-AgML
License (as declared)	cc-by-nc-4.0
Downloads	295 (as reported by Hugging Face)
Likes	1
Created	28 July 2026
Last updated at source	28 July 2026

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