datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
curated-danbooru-2026-512px-flux2-vaecurated-danbooru-2026-256px-flux2-vaeimagenet-256-flux2-vae-latents
ImageNet-256 FLUX.2 VAE Latents
Pre-computed deterministic, model-facing encodings from the
FLUX.2 VAE (black-forest-labs/FLUX.2-dev)
for the full ImageNet-1K training set at 256x256 resolution, stored as Parquet
shards. Each example includes latents for both the original and horizontally
flipped image, enabling flip augmentation without re-encoding at training time.
Dataset Description
Each example contains:
Column
Shape
Stored type
Description… See the full description on the dataset page: https://huggingface.co/datasets/yuanchenyang/imagenet-256-flux2-vae-latents.imagenet-sdxl-vae-uint84_pack_toys_vae_style_timing_apex_learned_posture_v2_prpl1_pp_toys_plate_vae_style_timing_apex_learned_posture_v2_prpl3_pp_sort_fruits_toys_vae_style_timing_apex_learned_posture_v2_prpl1_pp_toys_plate_vae_style_timing_apex_learned_posture_v2_ep80_prpl1_pp_toys_plate_vae_style_timing_apex_learned_posture_v2_ep40_prpl1_pp_toys_plate_vae_style_timing_apex_learned_posture_v2_ep60_prpl1_pp_toys_plate_vae_timing_apex_learned_posture_prpl4_pack_toys_vae_timing_apex_learned_posture_prpl3_pp_sort_fruits_toys_vae_timing_apex_learned_posture_prpl1_pp_toys_plate_vae_style_apex_learned_posture_prpl4_pack_toys_vae_style_apex_learned_posture_prplCelebA_embedding_StyleGAN_to_VAE
🧠 Synthetic CelebA-StyleGAN Embedding Dataset
🧩 Dataset Creation Notes
Overview
This dataset was created by combining CelebA, StyleGAN (FFHQ), and Stable Diffusion (VAE Encoder)to generate facial embeddings annotated with visual attributes.
🔹 Step-by-step process
Attribute Classifier (CelebA)
Trained a ResNet-based classifier on the CelebA dataset to predict 40 facial attributes.
Achieved ~92% accuracy on the validation set.
The “Blurry”… See the full description on the dataset page: https://huggingface.co/datasets/None00000/CelebA_embedding_StyleGAN_to_VAE.3_pp_sort_fruits_toys_vae_style_apex_learned_posture_prpl1_pp_toys_plate_vae_style_timing_apex_learned_posture_prpldataset_latents_VAEcf_gsm8k_vae_train_4kceleba-hq-vaespadl-vaep-action-values
SPADL/VAEP Action Values
Every on-ball action from ~9.5 million professional soccer events, converted to the SPADL unified format and scored with offensive, defensive, and net VAEP values. Built with the silly-kicks library — enabling player ranking by total contribution beyond goals and assists.
Part of the (Right! Luxury!) Lakehouse soccer analytics platform.
⚠️ Schema change (cut-over 2026-07-22)
This dataset now emits both legacy and canonical Kimball key… See the full description on the dataset page: https://huggingface.co/datasets/luxury-lakehouse/spadl-vaep-action-values.vaers-outcomesThis data set contains VAERS SYMPTOM_TEXT records paired with a list of potential outcomes.
Source Data
Data originates from VAERS. The code including the transformations that generated this dataset is here. The paper describing it is here.
Encoding
The label column now comrpises a single powerset-encoded class.
imagenet-256-sd-vae-ft-mse-latents
ImageNet-256 SD-VAE-ft-MSE Latents
Pre-computed posterior means (no variance/std) from the Stable Diffusion VAE (stabilityai/sd-vae-ft-mse) for the full ImageNet-1K training set at 256×256 resolution, stored as Parquet shards. Each example includes latents for both the original and horizontally flipped image, enabling flip augmentation without re-encoding at training time.
Dataset Description
Each example contains:
Column
Shape
Type
Description
latent_mean… See the full description on the dataset page: https://huggingface.co/datasets/yuanchenyang/imagenet-256-sd-vae-ft-mse-latents.vaers-narrative-generation
Adverse Event Symptom Narrative Generation Dataset
Dataset description
A dataset of VAERS symptom narratives and diagnostic (laboratory) findings transformed into instruction-tuning format (Alpaca) to finetune conditional and unconditional generative models.
This dataset contains 2,649,322 training examples derived from VAERS (Vaccine Adverse Event Reporting System) data for the years 1990-2025.
The data has been transformed into instruction-tuning format (Alpaca)… See the full description on the dataset page: https://huggingface.co/datasets/chrisvoncsefalvay/vaers-narrative-generation.items_prompts_liteoc20-s2ef-vae-embeddings-devceleba-hq-256x256-sdxl-vae-latentsemoji-vae-datasetil_gym0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 30,
"total_frames": 808,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 10,
"splits": {
"train": "0:30"
},
"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/vaew/il_gym0.