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SciDraw-6K: A Multilingual Scientific Illustration Dataset Generated by Google Gemini

Davie Chen

Zenodo (CERN European Organization for Nuclear Research), 2026

Abstract

SciDraw-6K is a curated dataset of 6,291 scientific illustrations synthesized by Google Gemini image-generation models (primarily gemini-3-pro-image-preview and gemini-2.5-flash-image), each paired with aligned prompts in eleven languages: English, Simplified Chinese, Traditional Chinese, Japanese, Korean, German, French, Spanish, Brazilian Portuguese, Italian, and Russian. Images span eight broad scientific categories — biomedical (44.9%), materials (13.4%), AI systems (11.2%), chemistry (9.7%), environment (9.2%), electronics (3.0%), physics (2.2%), and a residual "other" bucket (6.3%) covering long-tail disciplines such as robotics, mathematics, economics, civil engineering, and geosciences. Unlike general-purpose text-to-image corpora (LAION-5B, JourneyDB, DiffusionDB) which are dominated by photorealistic and artistic content, SciDraw-6K is purpose-built for the scientific-illustration genre: schematic diagrams, mechanism figures, table-of-contents graphical abstracts, and conceptual posters. The dataset is constructed via a domain-specific prompt taxonomy, Gemini image generation, LLM-based translation, and lightweight quality control. Each row of the metadata contains: a stable image ID, the public image URL, the file extension, the category label, the eleven multilingual prompts, the Gemini model identifier, the generation type, the creation timestamp, and the SHA-256 hash of the downloaded image bytes. Intended uses include: multilingual text-to-image research,…

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