datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stable-diffusion-v1-5-glazed
Dataset Card for Stable Diffusion v1.5 Glazed Samples
Dataset Description
Dataset Summary
This dataset contains image samples originally generated by runwayml/stable-diffusion-v1-5
and subsequently processed by Glaze tool.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/hanamizuki-ai/stable-diffusion-v1-5-glazed.diffusionprint_dataset
DiffusionPrint Patch Dataset
A dataset of 64x64 image patches for contrastive learning of diffusion-based inpainting forensics.
Each patch comes from either a real image or an AI-inpainted region generated by one of three diffusion models.
Columns
Column
Type
Description
image
bytes (PNG)
Lossless 64x64 RGB patch
master_index
int64
Row index in the original memmap archive
patch_path
string
Original relative path of the patch
category
string
real… See the full description on the dataset page: https://huggingface.co/datasets/giakoupg/diffusionprint_dataset.diffusion-mcqa-gen-pelatnas-2026
Which Prompt Made This? — Generated Edition
Pelatnas IOAI 2026 · Task Diffusion MCQA (varian trajectory)
Sebuah model text-to-image sedang bekerja. Di tengah prosesnya, gambar belum
menjadi gambar — yang ada hanya latent ter-noise: tensor 4 × 64 × 64 berisi
campuran struktur yang mulai muncul dan derau Gaussian.
Kali ini kalimat itu harfiah. Latent yang kamu terima benar-benar diambil dari
tengah proses generate: sebuah trajectory denoising DDIM 50 langkah dihentikan
sejenak… See the full description on the dataset page: https://huggingface.co/datasets/fassabilf/diffusion-mcqa-gen-pelatnas-2026.diffusion-mcqa-pelatnas-2026
Which Prompt Made This?
Pelatnas IOAI 2026 · Task Diffusion MCQA
Sebuah model text-to-image sedang bekerja. Di tengah prosesnya, gambar belum
menjadi gambar — yang ada hanya latent ter-noise: tensor 4 × 64 × 64 berisi
campuran sisa struktur gambar dan derau Gaussian.
Kami menangkap 250 state seperti itu. Untuk tiap state kamu tahu berapa banyak
noise yang sudah ditambahkan (timestep t), dan kamu diberi 5 kandidat
caption. Tepat satu adalah deskripsi asli gambarnya.
Tentukan yang… See the full description on the dataset page: https://huggingface.co/datasets/fassabilf/diffusion-mcqa-pelatnas-2026.