datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dancing-stick-figures
Dancing Stick Figures — v0.2
A small, fully-labelled synthetic video dataset for learning (and teaching) video diffusion on one consumer GPU.
1,340 clips · 6 s @ 20 fps · 128×128 RGBA · 482,400 frames · 134 text prompts × 10 seeds × 3 cameras ·
every frame carries the 3D skeleton, camera and G-buffer (depth, normals, part segmentation) that produced it.
Think of it as an MNIST for video generation: small enough that a 64² video diffusion model trains from scratch
in a few… See the full description on the dataset page: https://huggingface.co/datasets/sprited/dancing-stick-figures.dancing-chibi-figures
Dancing Chibi Figures — v0.1
One template Q-version (chibi) character, animated by 1,430 motion clips, rendered with exact labels and motion-grounded captions — and paired frame-for-frame with Dancing Stick Figures.
1,423 clips · 6 s @ 20 fps · 128×128 RGBA · 514,800 frames · 143 text prompts × 10 seeds × 3 cameras ·
every frame carries the 3D skeleton, camera, depth, camera-space normals, part segmentation, motion events and five
levels of caption.
One row per motion group;… See the full description on the dataset page: https://huggingface.co/datasets/sprited/dancing-chibi-figures.sprite-dx-data
SpriteDX — Sprite Matting and Animation Annotations
Explore sprite frames with matching mattes, foreground images, and transparent cutouts; inspect human annotations for animation loops and shot boundaries. This collection comes from experiments on the SpriteDX project by Sprited.
Start with the matting subset in the viewer above. Each row shows the original frame and its three paired representations. Use the subset selector for loops or scene_boundaries.
Subset
Rows
What… See the full description on the dataset page: https://huggingface.co/datasets/sprited/sprite-dx-data.