knowledge-in-visual-synthesis/v1
Knowledge in Visual Synthesis This dataset contains prompt–image examples for evaluating and studying knowledge-intensive visual synthesis. Samples are organized by contributor as dataset subsets (configs), with each upload version exposed as a split. Dataset structure Subset Splits byx v1, v2 yuner v1, v2 zanyi v1, v2, v3 jiayu v1, v2, v3 sherry v1, v2 yujunz v1 The byx/v1 split contains 140 unique prompts and 300 generated images. For… See the full description on the dataset page: https://huggingface.co/datasets/knowledge-in-visual-synthesis/v1.
Knowledge in Visual Synthesis
This dataset contains prompt–image examples for evaluating and studying knowledge-intensive visual synthesis. Samples are organized by contributor as dataset subsets (configs), with each upload version exposed as a split.
Dataset structure
The byx/v1 split contains 140 unique prompts and 300 generated images. For prompts with multiple generations, images are assigned by occurrence order: the first image is stored in nano_banana, the second in gpt_image2, and the third in seed_dream4d5. The three image columns contain 140, 130, and 30 images respectively. Each row also includes structured sample metadata.
The byx/v2 split is a curated Nano Banana-only version of byx/v1 with 46 selected Viewer rows removed. It contains 94 unique prompts and 94 images in the nano_banana column; the gpt_image2 and seed_dream4d5 columns are not included in this split.
The yujunz/v1 split contains 21 prompts spanning knowledge-graphic tasks (periodic-table grids, planet-density charts, solar-term clock faces, sudoku/score reasoning probes, and more), each with a gpt_image2 reference image and structured metadata (category, difficulty, checklist, and per-image eval scores).
Usage
from datasets import load_dataset
dataset = load_dataset(
"knowledge-in-visual-synthesis/v1",
"byx",
split="v1",
)Choose another subset and split from the table above to load a different contributor version.