datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stable-diffusion-prompts-2.47M
Source
Combined text-only dataset from
poloclub/diffusiondb
Gustavosta/Stable-Diffusion-Prompts
bartman081523/stable-diffusion-discord-prompts
FredZhang7/krea-ai-prompts
For preprocessing methods, please see Fast GPT2 PromptGen.
Python
Download and save the dataset to all_prompts.txt locally.
pip install datasets
import datasets
dataset = datasets.load_dataset("FredZhang7/stable-diffusion-prompts-2.47M")
train = dataset["train"]
prompts = train["text"]
with… See the full description on the dataset page: https://huggingface.co/datasets/FredZhang7/stable-diffusion-prompts-2.47M.latent-dna-diffusiondiffusion-generated-text
Diffusion-Generated Text Benchmark
17,565 cleaned responses from three diffusion language model families and 21 generation settings
This benchmark supports research on diffusion-generated language, machine-generated text detection, and robustness across model families and decoding configurations. It includes outputs from DiffusionGemma, LLaDA-8B-Instruct, and LLaDA2-mini with varied generation lengths and block sizes.
Benchmark composition
Generator… See the full description on the dataset page: https://huggingface.co/datasets/paoche11/diffusion-generated-text.Stable-Diffusion-Prompts-Deduped-2.008M
Original Dataset by FredZhang7
Deduped from 2,473,022 down to 2,007,998.
Changed anything that had [ prompt text ], ( prompt text ), or < prompt text >, to [prompt text], (prompt text), and <prompt text>.
2 or more spaces converted to a single space.
Removed all "
Removed spaces at beginnings.
em-activation-transport
EM activation transport — paired activations, generations, and judgments
Research artifacts from two experiments on inference-time activation transport for
emergent misalignment (EM), using the released model organism
ModelOrganismsForEM/Llama-3.1-8B-Instruct_bad-medical-advice
(rank-32 LoRA) against clean
meta-llama/Llama-3.1-8B-Instruct.
Why this repo exists: activations and generations are the expensive, fixed part of
these experiments; judgments are cheap and revisable. In… See the full description on the dataset page: https://huggingface.co/datasets/assisted-diffusion/em-activation-transport.stable_diffusion_female_prompts
stable_diffusion_female_prompts
⚠ PRECAUTION : This dataset contains NSFW and SFW prompts. ⚠
Stable Diffusion female prompts and some informations about the generated images
Dataset Details
Dataset Description
Enhancing the dataset progress is going on and going to be updated frequently.
These Huggingface datasets are used for enhancing the dataset:
FredZhang7/anime-prompts-180K
FredZhang7/stable-diffusion-prompts-2.47M… See the full description on the dataset page: https://huggingface.co/datasets/WoWoWoWololo/stable_diffusion_female_prompts.prompt_description_stable_diffusion_3k
The Synthetic Description from Prompts Dataset
This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on Lexica.art. This dataset is designed to explore the capabilities of language models in generating creative and expanded descriptions from concise prompts.
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/gokaygokay/prompt_description_stable_diffusion_3k.Images-Diffusion-Prompt-Style
Image Diffusion Prompt Style
High-quality synthetic prompts for image diffusion models, optimized for Flux, Z Image, and Qwen.
Dataset Structure
Column
Type
Description
style_name
string
Short descriptive name
prompt_text
string
Full prompt with quality tokens
negative_prompt
string
Artifacts to avoid
tags
list
Lowercase keywords
compatible_models
list
Target models
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/Limbicnation/Images-Diffusion-Prompt-Style.