Dataset · Hugging Face

SyedNazmusSakib/PlantExpertVQA

Name: PlantExpertVQA
Creator: SyedNazmusSakib
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2508.17117, doi:10.57967/hf/9145, region:us, plant-disease

PlantExpertVQA A large-scale Visual Question Answering (VQA) dataset for plant disease diagnosis, built from 45 open-source image repositories. Questions span 9 categories across 3 cognitive complexity levels and are grounded in a structured Disease Knowledge Base of 203 expert-curated cards. Every QA pair underwent two-phase domain expert review by practising botanists. Dataset at a Glance Property Value Total QA pairs 765,186 Total images 150,841… See the full description on the dataset page: https://huggingface.co/datasets/SyedNazmusSakib/PlantExpertVQA.

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Author / organization	SyedNazmusSakib
License (as declared)	cc-by-4.0
Downloads	1.3K (as reported by Hugging Face)
Likes	2
Created	24 May 2026
Last updated at source	19 June 2026

plant-diseaseplant-pathologyagriculturemultimodalvision-languagefine-grained-recognition

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