datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Krea-2-Raw_samples_Best_ofThis dataset is a highly diverse set of high quality images generated with Krea 2 Raw.
NOTE: Raw is not intended for image generation, so do not use these images to judge the quality of the model.
Raw is intended for training, as are the samples in this dataset as they can be used for regularization.
Possible uses
Regularization images for training models based on Krea 2 Raw
Quality testing
Data source
This dataset is derived from… See the full description on the dataset page: https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples_Best_of.change_eye_face_head_person
Overview
This data set contains manually curated, high quality images that can be used to
train image editing AI models like
FLUX.1 Kontext
to be able to take an input image and a reference image to create a target
image that is looking like the input image but with one of those parts replaced:
eyes
face
head
person (input image cloths are kept)
person (reference image cloths are kept)
Typical prompts for this editing could then be:
Change the eyes, keeping the rest of the image… See the full description on the dataset page: https://huggingface.co/datasets/stablellama/change_eye_face_head_person.Krea-2-Raw_samplesThis dataset is a highly diverse set of high quality images generated with Krea 2 Raw.
NOTE: Raw is not intended for image generation, so do not use these images to judge the quality of the model.
Raw is intended for training, as are the samples in this dataset as they can be used for regularization.
Possible uses
Regularization images for training models based on Krea 2 Raw
Quality testing
Data source
The images were created in ComfyUI with the
bf16 version
of… See the full description on the dataset page: https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples.stage-specific-stable-votu-datastableeval-arena
StableEval Arena
StableEval Arena is a historical-replay benchmark for evaluating cost-aware, trustworthy agentic AI systems on stablecoin risk prediction. Each case gives a frozen 30-day lookback packet for USDT, USDC, or DAI and hides the next 7-day horizon labels.
GitHub repository: https://github.com/SeanWan514/StableEval-Arena
Hugging Face dataset: https://huggingface.co/datasets/SeanWan05/stableeval-arena
Benchmark Blocks
Block
Role
Contents… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/stableeval-arena.stable_diffusion_prompts_instruct
Stable diffusion prompts for instruction models fine-tuning
Overview
This dataset contains 80,000+ prompts summarized to make it easier to create instruction-tuned prompt enhancing models. Each row of the dataset contains two values:
a short description of a image
a full prompt corresponding to that description in a stable diffusion format
Hope this dataset can help creating amazing apps !
How to use
You can download and use the dataset easily using the… See the full description on the dataset page: https://huggingface.co/datasets/groloch/stable_diffusion_prompts_instruct.stableeval-arena
StableEval Arena
StableEval Arena is a historical-replay benchmark for evaluating cost-aware, trustworthy agentic AI systems on stablecoin risk prediction. Each case gives a frozen 30-day lookback packet for USDT, USDC, or DAI and hides the next 7-day horizon labels.
GitHub repository: https://github.com/SeanWan514/StableEval-Arena
Hugging Face dataset: https://huggingface.co/datasets/SeanWan05/stableeval-arena
Benchmark Blocks
Block
Role
Contents… See the full description on the dataset page: https://huggingface.co/datasets/StableTradeAtlas/stableeval-arena.nsf-test-awards-dataNSF awards data for fiscal years 2024 and 2025.
Pulled from https://resources.research.gov/common/webapi/awardapisearch-v1.htm
stablebridge-retrieval-eval
Stablebridge Retrieval Evaluation Dataset
Evaluation dataset for the Stablebridge regulatory intelligence retrieval system, measuring encoder quality on US stablecoin regulatory documents.
Dataset Structure
File
Records
Description
queries.jsonl
3,556
Regulatory queries (JSONL with _id and text fields)
corpus.jsonl
38
US stablecoin regulatory documents (full text)
qrels/test.tsv
14,294
Query-document relevance judgments (TSV: query_id, corpus_id, score)… See the full description on the dataset page: https://huggingface.co/datasets/sugiv/stablebridge-retrieval-eval.booksum-stable-diffusion-promptThis dataset was based off the https://huggingface.co/datasets/kmfoda/booksum dataset. It was made using GPT 3, inferencing it to create a multitude of stable-diffusion friendly prompts by passing in book chapters
from the booksum dataset. This can be utilized in large-language model fine-tuning or training to create a model that outputs stable diffusion prompts.
stablecoin-yield-rates-with-safety-grades
Stablecoin flexible yield rates, with venue safety grades
A daily record of what centralised crypto venues actually pay on stablecoins,
collected by YieldScope and published with the safety
grade of the venue paying each rate.
The grade is the part you will not find in other rate datasets, and it is the
reason this one is worth joining against.
What is in it
Rows
1,661
Venue-asset pairs
50
Venues
20
Assets
DAI, FDUSD, PYUSD, TUSD, USD1, USDC… See the full description on the dataset page: https://huggingface.co/datasets/Yieldscope/stablecoin-yield-rates-with-safety-grades.stable_diffusion_prompts_instruct
Stable diffusion prompts for instruction models fine-tuning
Overview
This dataset contains 80,000+ prompts summarized to make it easier to create instruction-tuned prompt enhancing models. Each row of the dataset contains two values:
a short description of a image
a full prompt corresponding to that description in a stable diffusion format
Hope this dataset can help creating amazing apps !
How to use
You can download and use the dataset easily… See the full description on the dataset page: https://huggingface.co/datasets/Abel66999/stable_diffusion_prompts_instruct.stablebridge-regulatory-retrieval-eval