datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
openbrush-impressionism
OpenBrush Impressionism
Every Impressionist work from OpenBrush-75K — the largest movement subset.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 12,798 you actually want.
Why this subset
Broad-coverage subset for training on the Impressionist visual language: broken brushwork, light-on-color theory, plein-air staging, atmospheric… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionism.openbrush-impressionist-landscapes
OpenBrush Impressionist Landscapes
Cross-cut subset: Impressionist landscape paintings from OpenBrush-75K. The most-targeted style+genre combination for Impressionist landscape LoRA training.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 4,308 you actually want.
Why this subset
The intersection of the largest movement… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionist-landscapes.dental-implant-surgery-sample
Dental Implant Surgery — Multimodal Annotated Video (Sample Case)
A public sample from one complete All-on-4 full-arch mandibular dental implant
surgery: two synchronised camera angles, the operating surgeon narrating while
he works, and six layers of structured clinical annotation (L0–L5) tied frame by
frame to what he said.
This is a showcase slice, not the whole case. What is here is enough to judge
the structure, the annotation quality and the honesty of the documentation.… See the full description on the dataset page: https://huggingface.co/datasets/OralSurgery/dental-implant-surgery-sample.corruption-impulse_noise
Corruption Dataset: Impulse_Noise
Dataset Description
This dataset contains corrupted versions of ImageNet-1K images using impulse_noise corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions.
Dataset Structure
Train: 1,281,167 corrupted images
Validation: 50,000 corrupted images
Classes: 1000 ImageNet-1K classes
Format: Arrow (Hugging Face Datasets)
Corruption Type: Impulse_Noise
Adds… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-impulse_noise.ego-implicit-ownership-multiperson
Egocentric Implicit Ownership — Multi-Person Filtered Subset
Two complementary slices for studying implicit object ownership in
first-person video. Both use Claude Opus (claude-jupiter-v1-p) as
the VLM signal, with prompt caching enabled.
Configs at a glance
Config
Source datasets
N
Taxonomy
Filter
Frames
VLM input
default
HD-EPIC + EPIC-KITCHENS-100
564
C
EPIC-SOUNDS / HD-EPIC-Sounds human class (±3 s)
bundled jpgs
3 frames + clip meta + scene graph… See the full description on the dataset page: https://huggingface.co/datasets/Albertmade/ego-implicit-ownership-multiperson.