Linzhan/Objaverse-XL-Rigged-Animated

Objaverse-XL Rigged & Animated Subset

Every asset here carries both a skeleton and at least one animation clip, selected from Objaverse / Objaverse-XL. Rigs range from 3 to 344 joints and span characters as well as articulated rigid objects.

Objaverse-XL indexes over 10 million objects, but only a small fraction carry a usable rig and motion on it. This subset isolates that fraction: every file was checked to contain at least one skin with joints and at least one animation clip that actually drives them.

Assets are provided exactly as downloaded — no filtering, retargeting, canonicalization or joint renaming has been applied — so you can run your own preprocessing on top. The accompanying tables expose the structural properties needed to plan that preprocessing, such as which assets have a disconnected skeleton or which clips are near-static.

assets	7,373 (23 GB)
animation clips	16,190 (~21.0 h)
assets with both rig and animation	7,373 (100%)
single kinematic tree	7,128 (96.7%) — 245 need pruning
joints per asset	min 3 · median 44 · p95 78 · max 344
clip duration	median 2.03 s · p95 17.1 s · max 745 s
near-static clips (< 0.1 s)	803
vertices per asset	median 6,628 · p95 88,124 · max 1.52 M

Contents

glb/               7,373 .glb   assets, original filenames preserved
tpose/             7,373 .png   rest-pose render grid per asset, same stems
metadata.csv       one row per asset
animations.csv     one row per clip
excluded.csv       18 assets known to defeat processing
scripts/           the glTF probe that derives both tables

excluded.csv records the assets a processing pipeline should skip: 3 that no importer reads cleanly (corrupt rigs, singular transforms, NaN axis limits) and 15 whose animations are entirely static or too short to use, with the reason per row.

tpose/<stem>.png is a 1024×1024 2×2 grid of the asset's rest pose — front and back on the top row, left and right below — rendered (EEVEE) from its GLB, one per asset in glb/.

Filenames are unchanged, so every asset maps back to its Objaverse entry:

pattern	count	meaning
<24-hex>_{fbx,glb,gltf}.glb	5,305	Objaverse-XL (GitHub); suffix is the original format
<32-hex>.glb	2,068	Objaverse 1.0 / Sketchfab UID

metadata.csv

One row per asset, joined to animations.csv on file.

column	meaning
file	path, e.g. glb/00064e6f….glb
object_id, id_family	Objaverse id and which family it came from
source_format	original format before GLB conversion; empty for Sketchfab
num_vertices, num_meshes, num_nodes	geometry size
num_joints	rig size
num_skeleton_roots, single_tree	number of kinematic trees; single_tree is false when the asset needs single-tree pruning
num_animations, total_duration_sec, max_keyframes	animation budget
animated_joints	joints driven by any clip — the union across all of them, so it can exceed the per-clip figure in animations.csv
generator	exporter string (Sketchfab-*, Khronos glTF Blender I/O *, …)

animations.csv

One row per animation, since motion datasets are counted in sequences rather than assets: file, object_id, clip_index, clip_name, duration_sec, keyframes, num_channels, animated_nodes, animated_joints, drives_skeleton.

drives_skeleton is the useful filter: 5,615 of 16,190 clips animate only non-joint nodes (object-level transforms rather than a character rig). Every asset has at least one clip that does drive its skeleton.

Usage

from datasets import load_dataset

assets = load_dataset("Linzhan/Objaverse-XL-Rigged-Animated", "assets", split="train")
clips  = load_dataset("Linzhan/Objaverse-XL-Rigged-Animated", "animations", split="train")

# assets needing no single-tree pruning, with a humanoid-scale rig
clean = assets.filter(lambda r: r["single_tree"] == "true" and 20 <= r["num_joints"] <= 100)

# clips that drive a skeleton and are not near-static
usable = clips.filter(lambda r: r["drives_skeleton"] == "true" and r["duration_sec"] >= 0.5)

Both tables are derived from each file's glTF JSON chunk by scripts/build_dataset.py, so they can be regenerated or extended without re-downloading anything.

Licensing and attribution

The assets in glb/ were created by third parties and retain their individual upstream licences, which are heterogeneous: various Creative Commons terms for Sketchfab objects, and whatever applies to the GitHub-sourced ones. No blanket licence covers the collection and none is asserted here — publishing them is not a licence grant. Resolve the licence for a given object_id through the Objaverse-XL annotations before using or redistributing an asset.

The derived material — metadata.csv, animations.csv, scripts/ and this card — is offered under ODC-BY 1.0, matching the upstream Objaverse metadata.

Rights holders who want an asset removed can open an issue on this repository; see NOTICE.md for the full statement and the takedown process.

Citation

If you use this subset, please cite Objaverse-XL as the source of the assets.

@misc{objaverse_xl_rigged_animated,
  title  = {Objaverse-XL Rigged and Animated Subset},
  author = {Mou, Linzhan},
  year   = {2026},
  url    = {https://huggingface.co/datasets/Linzhan/Objaverse-XL-Rigged-Animated},
  note   = {Objaverse-XL assets carrying both a skeleton and animation, with derived metadata}
}

@inproceedings{deitke2023objaversexl,
  title     = {Objaverse-XL: A Universe of 10M+ 3D Objects},
  author    = {Deitke, Matt and Liu, Ruoshi and Wallingford, Matthew and others},
  booktitle = {Advances in Neural Information Processing Systems},
  pages     = {35799--35813},
  year      = {2023}
}