Datasets:
license: other
license_name: mixed-per-object-see-notice
license_link: >-
https://huggingface.co/datasets/Linzhan/Objaverse-XL-Rigged-Animated/blob/main/NOTICE.md
pretty_name: Objaverse-XL Rigged & Animated Subset
language:
- en
size_categories:
- 1K<n<10K
task_categories:
- text-to-3d
tags:
- 3d
- animation
- rigging
- skeletal-animation
- motion
- objaverse
- glb
- gltf
configs:
- config_name: assets
default: true
data_files: metadata.csv
- config_name: animations
data_files: animations.csv
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}
}