The Pixel Art Benchmark Dataset is a structured collection of pixel-art outputs generated by large language models (LLMs). Each sample consists of a discrete color palette and a grid-based representation of pixel art, along with generation metadata such as token usage, cost, and model provenance.
Each row in the dataset represents a single generated pixel-art sample.
Each string in grid represents one row of pixels.… See the full description on the dataset page:
https://huggingface.co/datasets/AINovice2005/pixel-art-bench-v1.
