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-vaecache_vae_latents_train_20hq1lq-part-00capstone_sakuga_vae_latentsVAEmini-carla-192x320-wan-2p2-vae
mini-carla-192x320-wan-2p2-vae
Wan2.2-VAE-encoded latents of a small CARLA driving dataset (192x320, native resolution,
no resize). Produced for training miniworld, a
minimal flow-matching world-model framework, by caching pixel clips through the frozen
pretrained Wan2.2 video VAE instead of a locally-trained one.
Data size
Source pixel dataset
mini_192x320_low: 320 episodes, 600 frames each (192x320, 20 fps) — ~33 GB
Clips in this cache
1,920 (6… See the full description on the dataset page: https://huggingface.co/datasets/kamwoh/mini-carla-192x320-wan-2p2-vae.pro6-profiling-vaecf_gsm8k_vae_train_4kVAE_soundspadl-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_features_1024_sd_vae_ft_emaVBFR-JJ-final-cache-vae-p0imagenet_vae_256
VAE Features of ImageNet Dataset
This is the ImageNet dataset features processed by sd-vae-ft-ema encoder. The dataset is tailored for DiT training purposes.
File structure:
imagenet_feature/
├── imagenet256_features/ # VAE features
└── imagenet256_labels/ # labels
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.sd_vae_features_imagenet_1k_256x256items_prompts_litegradcam-vaegan-eval-logs
GradCAM vs VAEGAN Evaluation Logs
This dataset contains session logs of expert evaluations comparing Grad-CAM and VAE-AC-GAN model outputs.
Each row represents a choice made by a participant, with metadata including timestamp, participant ID (anonymized),
image ID, choice, elapsed time, and optional notes.
License
This dataset is licensed under CC-BY-4.0.
Please credit:Miguel Lerma & Mirtha Lucas (2025). GradCAM vs VAEGAN Evaluation Logs. Hugging Face Datasets.… See the full description on the dataset page: https://huggingface.co/datasets/mlerma54/gradcam-vaegan-eval-logs.ds12345_640_vae_qwenrobotwin50-vae-latentsoc20-s2ef-vae-embeddings-devwan_vae_testitems_raw_liteitems_liteoc20-s2ef-vae-embeddings-testimagenet1k_features_256_sd_vae_ft_emaVAERS-openai-embeddedoc20-s2ef-vae-embeddings-test4LSTM-VAE-INFERENCE_Datasetvae_trainset