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.ultrasound_images_diffusionThis dataset contains synthetic EDM2 generated images of ultrasound scan, as described in the paper A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets.
Code: https://github.com/xfetus/fetal-ultrasound-edm2
The class labels correspond to the following labels:
plane_classes = {
0: 'Other',
1: 'Maternal cervix',
2: 'Fetal abdomen',
3: 'Fetal brain',
4: 'Fetal femur',
5: 'Fetal thorax',
}
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.generated-flowers-diffusion
Dataset Card for generated_flowers_with_embeddings
This is a FiftyOne dataset with 150 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("jkubuni/generated-flowers-diffusion")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/jkubuni/generated-flowers-diffusion.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.diffusion_model_assessment_v2
Dataset Card for generated_flowers_with_embeddings
This is a FiftyOne dataset with 20 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Linus-L/diffusion_model_assessment_v2")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Linus-L/diffusion_model_assessment_v2.DATA-DIFFUSION-BASED-PAPER
DATA-DIFFUSION-BASED-PAPER
Time-lapse fluorescence-microscopy data released with the DATA-DIFFUSION-BASED-PAPER project. The archive contains source image files and accompanying metadata used by the DINO benchmark and downstream analyses.
Contents
Experimental-condition directories containing TIFF frames and ZIP archives.
2,946 TIFF files and 78 ZIP archives.
3,024 metadata files.
Conditions include susceptible mono-culture + DTPA, DTPA controls, and… See the full description on the dataset page: https://huggingface.co/datasets/rubentium/DATA-DIFFUSION-BASED-PAPER.diffusion-flowers-fiftyone
Dataset Card for generated_flowers_with_embeddings
This is a FiftyOne dataset with 10 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("finnfrei/diffusion-flowers-fiftyone")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/finnfrei/diffusion-flowers-fiftyone.diffusion_model_assessment_v2
Dataset Card for generated_flowers_with_embeddings
This is a FiftyOne dataset with 286 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("CarloColumbo/diffusion_model_assessment_v2")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/CarloColumbo/diffusion_model_assessment_v2.