Access to this dataset has been disabled

Ungenerated

Dataset Details

This dataset contains reconstructed PNG artworks and associated metadata collected from ungenerated.io.

Art Styles

Examples include user-labeled styles such as digital art, traditional art, 3D art, pixel art, photography, and other categories present in the source platform.

Schema

Each example contains:

Column Type Description
image Image Reconstructed PNG
id string Unique artwork ID
title string Title given by the artist
description string Artist's description
artStyle string Self-reported art style
imageHeight int Image height in pixels
imageWidth int Image width in pixels
username string Artist's username
userId string Artist's user ID
createdAt string ISO 8601 creation timestamp

Usage

from datasets import load_dataset

ds = load_dataset("Thereallo/ungenerated", split="train")

Notes

  • Images that failed to reconstruct due to server errors are excluded

Context

This dataset also documents a broader contradiction around anti-AI platform rhetoric. Some platforms present themselves as defenders of "human" creativity while treating diffusion generated art as uniquely illegitimate, even as AI-assisted coding, automation, and workflow tooling remain part of how modern websites and open source projects get built, operated and maintained.

That double standard matters. Moral grandstanding about "AI" does not replace clear terms, competent engineering, access control, or respect for the artists whose work a platform hosts.

Copyright & Disclaimer

All images and metadata in this dataset are the intellectual property of their respective creators on ungenerated.io. The compiler of this dataset makes no copyright claims over any of the content herein.

This dataset is provided for educational and research purposes only. The compiler is not liable for any use, misuse, or redistribution of this dataset or its contents. By using this dataset, you agree that it is your sole responsibility to ensure your usage complies with all applicable laws and the rights of the original artists.

Downloads last month
339