| --- |
| pretty_name: Splataverse (index) |
| license: other |
| license_name: per-source |
| configs: |
| - config_name: v5 |
| default: true |
| data_files: |
| - split: train |
| path: "splits/v5.parquet" |
| - config_name: v4 |
| data_files: |
| - split: train |
| path: "splits/v4.parquet" |
| - config_name: conversion_v1 |
| data_files: |
| - split: test |
| path: "splits/conversion_v1/objects.parquet" |
| --- |
| |
| # 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](https://huggingface.co/datasets/maxwildersmith/splataverse-sketchfab) | cc-by / cc-by-sa / cc-by-nc(-sa), per object (`license` column); quality-filtered | |
| | Smithsonian 3D | [maxwildersmith/splataverse-smithsonian](https://huggingface.co/datasets/maxwildersmith/splataverse-smithsonian) | CC0; ~88% of val/test are bone specimens | |
| | TableVerse (tabletop scenes) | [maxwildersmith/splataverse-tableverse](https://huggingface.co/datasets/maxwildersmith/splataverse-tableverse) | licence unknown; identical duplicate instances are ranked last | |
| | GitHub, textured (Objaverse-XL) | [maxwildersmith/splataverse-github](https://huggingface.co/datasets/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](https://huggingface.co/datasets/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). |
|
|
| ## Conversion benchmark (`conversion_v1`) |
| |
| A fixed set of **source meshes** for evaluating mesh -> 3D Gaussian splat conversion (not our splats: you convert the |
| original mesh with your method and score it). `splits/conversion_v1/objects.parquet` (config `conversion_v1`) has one row |
| per object: `uid, tier, source, hf_repo, path, license, source_url, sha256, file_type, is_bone, note`; `source_url` and |
| `sha256` are the objaverse-xl manifest entries of the original mesh, `hf_repo`/`path` point to our converted splat for reference. |
|
|
| - **`bench`**: the exact objects of the Splataverse paper's conversion table (Sketchfab, Smithsonian scans, the Khronos |
| SciFiHelmet). 1 object can no longer be downloaded from the source (`957028a3-c370-5c5d-9615-962c8ec5ae37`: removed at source (Smithsonian API 404, 2026-10-26)), |
| so the paper reports 20 of 21; it stays listed with a `note` (also where it appears in `full`). Cameras ship in `splits/conversion_v1/cameras.json`. |
| - **`full`**: a seeded, stratified set drawn from the v5 **test** lists: Sketchfab (25 per licence), Smithsonian (25 bone + 17 other: all non-bone test objects, the test list is mostly bones), |
| textured GitHub (100), and untextured GitHub geometry (50 `.stl` + 50 other). The untextured pool has no val/test in v5, |
| so these 100 are also in v5's `train_all` fallback pool; exclude them (`hf_source == "github_untextured"` and `uid` in this list) |
| if you train on `train_all` and evaluate here. |
|
|
| | tier | objects | github | github_untextured | khronos | sketchfab | smithsonian | |
| |---|---|---|---|---|---|---| |
| | bench | 21 | - | - | 1 | 10 | 10 | |
| | full | 342 | 100 | 100 | - | 100 | 42 | |
| |
| **Protocol** (paper, Evaluation protocol): ground truth is the textured mesh rendered *unlit* (emission = base colour) by Blender |
| Cycles (16 spp, transparent film) from 16 held-out views (8 azimuths x elevations 15/45 deg, 512 px, 40 deg FoV, bounding sphere |
| fitted with 10% margin); every method is rendered by the same gsplat rasterizer (antialiased, 4x4 supersampled, black background). |
| Ranked on LPIPS (AlexNet), LPIPS after gain matching, structure and gradient correlation over the object mask; masked PSNR is |
| reported but not ranked on; geometry is the Chamfer distance between Gaussian centres and 100k area samples (% of bbox diagonal). |
| |
| ```bash |
| pip install huggingface_hub objaverse trimesh pandas torch gsplat lpips plyfile pillow tyro |
| python eval_conversion.py --stage fetch --tier bench --out-dir conv_eval # source meshes + cameras |
| blender -b -P eval_conversion.py -- gt --out-dir conv_eval # unlit GT renders |
| python eval_conversion.py --stage score --out-dir conv_eval --splats my_method # my_method/<uid>.ply|.npz |
| ``` |
| |
| ## Download a split |
| |
| ```bash |
| 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. |
| |
| ## Complete split and protocol catalog |
| |
| The [split catalog](splits/README.md) documents scientific partitions, nested tiers, historical versions, duplicate exclusions, the matched 600-object training and160-candidate paired-evaluation lists, the 1,119-object confirmatory test, retrieval galleries, and the new frozen balanced-profile cohorts. [Validation checks](splits/VALIDATION.json) and [artifact hashes](splits/artifact_manifest.json) make these metadata additions auditable. Existing v4/v5 assignments are preserved. |
| |
| **Loader distinction:** `load_dataset(..., "v5")["train"]` loads the metadata table. Select rows with `split == "train"` and the desired `tier` for scientific training; its `val` and `test` rows are evaluation data. UID-only lists and `repo path` lists are different formats. |
| |
| **Additional sources:** [ArtVIP](https://huggingface.co/datasets/maxwildersmith/splataverse-artvip), [HOI](https://huggingface.co/datasets/maxwildersmith/splataverse-hoi), [cities](https://huggingface.co/datasets/maxwildersmith/splataverse-cities), [ortho/Berlin](https://huggingface.co/datasets/maxwildersmith/splataverse-ortho), [SimReady](https://huggingface.co/datasets/maxwildersmith/splataverse-simready), and [Splataverse-T](https://huggingface.co/datasets/maxwildersmith/splataverse-t) have source-specific manifests and access rules; they are not included in v5 train/validation/test. Source-level inventory or conversion completion is not a benchmark split assignment. Workshop leaderboard splits will be versioned separately once frozen. |
| |
| New conversion jobs use balanced by default. Existing split manifests continue pointing to the original payloads; they must not be relabeled as balanced measurements. See the catalog for channel/provenance availability and the limitations of historical duplicate controls. |
| |
| ## Classic reference objects |
| |
| [CV-classic](https://huggingface.co/datasets/maxwildersmith/CV-classic) contains eleven canonical graphics/vision meshes as balanced and uncapped Gaussian PLYs, with PBR attributes, source geometry and source correspondence. It is a public manually gated reference collection outside the existing train/validation/test assignments. See its per-asset source terms and material provenance. |
| |
