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:

source	repo
Sketchfab (Objaverse)	maxwildersmith/splataverse-sketchfab
Smithsonian 3D	maxwildersmith/splataverse-smithsonian

Split v4

splits/v4.parquet (config v4) has one row per object: uid, hf_source, hf_repo, path, license, split, tier, is_bone, reasons. split is val, test, train (in a tier), train_unused, flagged (failed the splat quality check; reasons says why) or unscored.

• val / test are fixed and hold out both sources: 1,000 + 1,000 clean Sketchfab objects (licence-stratified) and Smithsonian's frozen 150 + 150 (stratified by category, so ~88% are bone specimens).
• Training tiers are nested (1k is inside 5k is inside 10k ...): tier T is split == "train" and tier <= T. Each tier is ~10% Smithsonian (bones included) until its 2,092-object pool is used up, the rest clean Sketchfab.

list	objects	Sketchfab	Smithsonian
val	1,150	1,000	150
test	1,150	1,000	150
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	47,908	2,092
train_100k	100,000	97,908	2,092
train_250k	250,000	247,908	2,092
train_all	461,982	459,890	2,092

splits/v4/<list>.txt has one <repo> <path> line per object.

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.