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.prof_report__CompVis-stable-diffusion-v1-4__multi__24
Dataset Card for "prof_report__CompVis-stable-diffusion-v1-4__multi__24"
More Information needed
prof_report__runwayml-stable-diffusion-v1-5__multi__24
Dataset Card for "prof_report__runwayml-stable-diffusion-v1-5__multi__24"
More Information needed
stablecoin-flows
Chainticks Stablecoin Flows
USDC/USDT mint, burn, and bridge flow rows derived from public ERC-20 transfer logs.
import pandas as pd
DATE = "YYYY-MM-DD"
URL = "https://huggingface.co/datasets/Chainticks/stablecoin-flows/resolve/main/flows/date={DATE}/part-0000.parquet"
df = pd.read_parquet(URL)
print(df.head())
Layout
flows/date=YYYY-MM-DD/part-0000.parquet
_schema.json
_manifest.json
LATEST_DATE.txt
Provenance
Rows must have source_kind in… See the full description on the dataset page: https://huggingface.co/datasets/Chainticks/stablecoin-flows.stable-diffusion-prompts-stats-full-uncensoredbcco_regThis repository contains the artifacts for LimiX-2M, a 2M-parameter tabular foundation model designed to mitigate low-rank collapse and attention bottlenecks in structured data.
Paper: LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
GitHub Repository: https://github.com/limix-ldm-ai/LimiX
Project Page: https://www.limix.ai/
Model Description
LimiX-2M utilizes a unified tokenize-and-route framework. It expands scalar features into… See the full description on the dataset page: https://huggingface.co/datasets/stable-ai/bcco_reg.poly_markets_stableKrea-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.Stablecoin-Transfers-Ethereum-Cryptocurrency-Data
Stablecoin Transfers — Ethereum Cryptocurrency Data
ERC-20 transfer events for USDC, USDT, and DAI on Ethereum mainnet.
Chain
Ethereum mainnet (chain_id 1)
Coverage
2017-11 → 2025-10 (UTC, by block_timestamp)
Tokens
USDC, USDT, DAI
Format
Parquet, Hive partitions data/year=YYYY/month=MM/
Source
BlockDB blockdb0304_token_transfers_v1
Schema
Token Transfers — data catalog
Files
data/
year=YYYY/month=MM/part-NNNN.parquet… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Stablecoin-Transfers-Ethereum-Cryptocurrency-Data.civitai-stable-diffusion-337k
How to Use
from datasets import load_dataset
dataset = load_dataset("thefcraft/civitai-stable-diffusion-337k")
print(dataset['train'][0])
download images
download zip files from images dir
https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k/tree/main/images
it contains some images with id
from zipfile import ZipFile
with ZipFile("filename.zip", 'r') as zObject: zObject.extractall()
Dataset Summary
GitHub URL:-… See the full description on the dataset page: https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k.bcco_cls
LimiX-2M
LimiX-2M is a 2M-parameter tabular foundation model (TFM) introduced in the paper LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models. It utilizes a unified tokenize-and-route framework to improve conditioning and shallow-layer effective rank, outperforming larger baselines on widely used tabular benchmarks.
Project Page: https://www.limix.ai/
GitHub Repository: https://github.com/limix-ldm-ai/LimiX
Sample Usage… See the full description on the dataset page: https://huggingface.co/datasets/stable-ai/bcco_cls.mimic_ttt_redx_ALLBAL_15hz_stableThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mimic_follower",
"total_episodes": 678,
"total_frames": 326999,
"total_tasks": 18,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:678"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Mimic-Robotics/mimic_ttt_redx_ALLBAL_15hz_stable.ProSceneverse
ProSceneverse
Hand-designed 3D scenes (CAD, game environments, designed interiors and
exteriors, urban scenes, stylized landscapes) curated from the TexVerse-1K
Sketchfab crawl — the companion of
ScanSceneverse which
holds real-world photogrammetry scans.
74,624 textured designed scenes in glTF/GLB format, each with a
machine-generated English caption, a scene-type label, and a thumbnail
render.
Contents
ProSceneverse/
├── README.md
├── metadata.parquet #… See the full description on the dataset page: https://huggingface.co/datasets/Stable-X/ProSceneverse.MirrorAPI-Training
MirrorAPI training dataset
This dataset contains the training data for MirrorAPI and MirrorAPI-Cache:
train_sft.json, train_cot.json, train_augment.json: The training data for MirrorAPI .
train_cache.json: The training data for MirrorAPI-Cache.
ScanSceneverse
ScanSceneverse
Real-world scanned 3D scenes (photogrammetry / environment + landscape scans)
curated from the TexVerse-1K Sketchfab crawl — the companion of
ProSceneverse which
holds designed scenes.
125,023 textured scan scenes in glTF/GLB format, each with a
machine-generated English caption, a scene-type label, and a thumbnail
render. Scenes that carry a scanned_by_* author tag also include the
originating device id under scanning_ids.
Contents
ScanSceneverse/… See the full description on the dataset page: https://huggingface.co/datasets/Stable-X/ScanSceneverse.PANPersonality-stable
PANPersonality-stable
Prepared for gender-fairness (TPR-gap) evaluation of fine-tuned language models.
Schema
column
type
meaning
text
str
input text
label
str
task class name (Y), used as the generation target in prompted fine-tuning
label_id
int
contiguous class id (Y)
gender
str
protected attribute (Z), female or male
group_id
int
0 = female, 1 = male
Splits: train, dev (aliased as validation), test.
Key statistics… See the full description on the dataset page: https://huggingface.co/datasets/shunshao/PANPersonality-stable.prof_report__SD_v1.4_random_seeds__multi__24
Dataset Card for "prof_report__SD_v1.4_random_seeds__multi__24"
More Information needed
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/global-nomad-nexus/stableeval-arena.stable_elevator_buttonspie-gem5-pairs
PIE gem5-timed code optimization (src,tgt pairs)
C++ program-optimization data derived from the PIE dataset
("Learning Performance-Improving Code Edits"),
re-timed end-to-end with gem5 (x86 Skylake, syscall-emulation mode) at
per-test-case granularity. One row per official (source, target) program pair.
This dataset is reward-agnostic: it ships the full per-test-case reference timings and
case manifests so a downstream RL / eval pipeline decides at runtime how many cases to use… See the full description on the dataset page: https://huggingface.co/datasets/stablegradients/pie-gem5-pairs.svb-stablecoins-hourly-tick-liquidity
Hourly Tick-Level Liquidity Distributions on Uniswap V3 (Feb-Apr 2023)
Replication dataset for:
Hernandez Cruz, W., Xu, J., Tasca, P., and Campajola, C. (2024).
No Questions Asked: Effects of Transparency on Stablecoin Liquidity
During the Collapse of Silicon Valley Bank.
arXiv:2407.11716 [q-fin.TR].
Hourly tick-level liquidity distributions for the Uniswap V3 pools used
in the paper, covering the SVB
crisis window. One row per (pool, tick, hour). See the
paper for the… See the full description on the dataset page: https://huggingface.co/datasets/ExponentialScience/svb-stablecoins-hourly-tick-liquidity.so101_pick_and_place_overhead_high_stableThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 50,
"total_frames": 19336,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/RICK-Y-KCIR/so101_pick_and_place_overhead_high_stable.prof_report__stabilityai-stable-diffusion-2-1-base__multi__24
Dataset Card for "prof_report__stabilityai-stable-diffusion-2-1-base__multi__24"
More Information needed
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.stablebridge-pruning-eval
Stablebridge Pruning Evaluation Dataset
Evaluation dataset for the Stablebridge context pruner/highlighter model, measuring sentence-level pruning quality on US stablecoin regulatory documents.
Dataset Structure
File
Records
Description
queries.jsonl
93
Regulatory queries (JSONL with _id and text fields)
corpus.jsonl
38
US stablecoin regulatory documents (full text)
qrels/test.tsv
2,704
Query-document relevance judgments
pruning_labels/test.jsonl
10,006… See the full description on the dataset page: https://huggingface.co/datasets/sugiv/stablebridge-pruning-eval.eval_stable_elevator_yolony_test_frames_flipped_stable_20This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 20,
"total_frames": 7245,
"total_tasks": 1,
"total_videos": 80,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/1g0rrr/ny_test_frames_flipped_stable_20.Stable-diffusion-configsstabletest1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 4,
"total_frames": 1521,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Hupy440/stabletest1.stable_and_metastable_phases_in_sputtered_CuInS2
Cite this dataset Larsen, J., Sopiha, K., Persson, C., Platzer-Björkman, C., and Edoff, M. stable and metastable phases in sputtered CuInS2. ColabFit, 2023. https://doi.org/10.60732/bcce3f87
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_qk4qfeka1e3m_0
Visit the ColabFit Exchange to search additional datasets by author, description… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/stable_and_metastable_phases_in_sputtered_CuInS2.