Splataverse: cross-dataset splits

This repo holds only split manifests. The Gaussian splats themselves live in the per-source repos, each under its own licence. Every row of a manifest names the repo (hf_repo) and file (path) it comes from.

Where the data comes from

source	repo	licence / notes
Sketchfab (Objaverse)	maxwildersmith/splataverse-sketchfab	cc-by / cc-by-sa / cc-by-nc(-sa), per object (license column); quality-filtered
Smithsonian 3D	maxwildersmith/splataverse-smithsonian	CC0; ~88% of val/test are bone specimens
TableVerse (tabletop scenes)	maxwildersmith/splataverse-tableverse	licence unknown; identical duplicate instances are ranked last
GitHub, textured (Objaverse-XL)	maxwildersmith/splataverse-github	per-repo open licence (MIT, Apache-2.0, GPL, BSD, CC0, ...); kept objects only
GitHub, untextured fallback (Objaverse-XL)	maxwildersmith/splataverse-github-untextured	same licensed repos, but geometry-only (grey) objects; training only, always the last pool to be used

Split v5

splits/v5.parquet (config v5) has one row per object: uid, hf_source, hf_repo, path, license, split, tier, is_bone, group, reasons. split is val, test, train (in a tier), train_unused, flagged (failed the splat quality check; reasons says why) or unscored.

• Training tiers are nested (1k is inside 5k is inside 10k ...): tier T is split == "train" and tier <= T. Small tiers are Sketchfab plus ~10% Smithsonian; TableVerse and GitHub ramp in from 50k up (GitHub 5% at 50k, 8% at 100k, 12% at 250k, 20% at 1M; TableVerse 5% at 100k, 10% at 250k, 30% at 1M). Sketchfab fills the remainder, and once its clean pool is used up the other sources top the tier up.
• The untextured GitHub fallback is used only after every other pool is exhausted, so it appears only in train_all. Filter on hf_source to drop it.
• val / test are fixed. Sketchfab 1,000 + 1,000 (licence-stratified), Smithsonian's frozen 150 + 150, TableVerse whole scenes (~600 each, so a scene never straddles train and test), and a seeded random 500 + 500 from textured GitHub (not yet grouped by repo, so forks can make GitHub a little optimistic). The untextured fallback is never in val/test.

list	objects	Sketchfab	Smithsonian 3D	TableVerse	GitHub	GitHub, untextured fallback
val	2,257	1,000	150	607	500	-
test	2,255	1,000	150	605	500	-
train_1k	1,000	900	100	-	-	-
train_5k	5,000	4,500	500	-	-	-
train_10k	10,000	9,000	1,000	-	-	-
train_25k	25,000	22,908	2,092	-	-	-
train_50k	50,000	45,408	2,092	-	2,500	-
train_100k	100,000	84,908	2,092	5,000	8,000	-
train_250k	250,000	192,908	2,092	25,000	30,000	-
train_1m	1,000,000	459,890	2,092	450,478	87,540	-
train_all	1,924,723	459,890	2,092	966,284	87,540	408,917

The 2M tier is not fillable from licensed data: the training pool is 1,924,723 objects, so train_all is the largest list. Unlicensed GitHub is deliberately not included.

splits/v5/<list>.txt has one <repo> <path> line per object. The previous split (v4, Sketchfab + Smithsonian only) is kept under splits/v4/. ArtVIP and HOI are not in v5 yet. TableVerse paths may be <scene>/objects.tar::<member> (bundled in a tar).

Download a split

pip install huggingface_hub tyro
python fetch_split.py --split train_5k --out-dir splataverse_data

fetch_split.py (in this repo) skips files already downloaded and pauses whenever the Hugging Face API rate limit (1,000 requests per 5 minutes) is reached, so large tiers can be fetched unattended. Use --version v4 for the old split.