DenisKochetov/Diffusion4D-Animated-Raw

Diffusion4D Animated Assets

This dataset provides animated 3D assets referenced by Diffusion4D and Objaverse-XL in a directly browsable format. The default split contains 67,988 rows. Each row includes metadata, a preview image, and a short preview video so that assets can be inspected in the Hugging Face Data Studio without first downloading the original 3D file.

The repository also mirrors available raw assets and keeps their original source links and hashes. The current release is intentionally broad and may contain broken, static, duplicated, or semantically irrelevant assets.

Curation In Progress

Our goal is to identify high-quality skeletal animations suitable for training and evaluating motion and 3D understanding models. We are currently annotating every asset with Qwen3-VL-30B-A3B-Instruct using four frames sampled from its animation.

The automatic annotations include:

• a broad semantic class and a more specific object class;
• a short object description;
• a description of the visible motion;
• whether meaningful animation is visible and its strength;
• visual quality, visible defects, and model confidence.

These labels are machine generated and should not be treated as human-verified ground truth. Failed or malformed model responses will be processed again in a separate repair pass.

Planned Animated Subset

We plan to publish a separate curated subset of animated animals, humanoids, robots, and other articulated characters. Selection will combine technical metadata, visual inspection, and Qwen annotations.

For this subset we also plan to provide:

• renders from multiple camera angles;
• per-frame DINO visual features;
• data arranged for training models such as MocapAnything v2.

Data Fields

The table includes identifiers and source metadata, file format and hashes, animation and skeleton statistics when available, technical inspection flags, and embedded preview media. Additional Qwen annotation columns will be added after the full annotation and validation passes finish.

Use availability and quality fields when filtering. A row being present does not mean that its raw asset is valid, complete, or suitable for training.

Provenance And Licensing

The records and official renders originate from Diffusion4D and Objaverse-XL. Raw assets come from many upstream repositories and do not share a single normalized license. Source URLs are retained where available. Users are responsible for checking the license of each upstream asset before redistribution or commercial use. This dataset does not relicense third-party content.

Acknowledgements

Please cite the original Diffusion4D and Objaverse-XL projects when using this dataset. This repository is an independent packaging and curation effort.