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 Crop species 38 Disease conditions 89 KB cards 203 Question categories 9 (3 cognitive levels) Splits 70 / 10 / 20 (train / val / test) Image sources 45 open source datasets License CC BY 4.0 Splits Split QA Pairs Images Train 535,881 105,586 Validation 76,384 15,080 Test 152,921 30,175 Splits are image level stratified — no image appears in more than one split. Stratification is balanced across question category, crop species, disease condition, and source dataset. Question Categories Questions are organised into 3 cognitive levels following a Bloom style hierarchy: Level Category Description L1 Foundational Existence & Sanity Check Confirms the image contains plant material L1 Foundational Plant Species Identification Identifies the hos…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
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