Data selection and attribution
Reviewed 2026-11-02. User requested commercial-use-compatible data and exclusion of noncommercial datasets. This recipe uses only the sources explicitly marked included below. Repository-level labels do not replace individual asset terms.
| Source | Status | Reason |
|---|---|---|
| scenario-labs/3d-collection | Included, bounded GLB subset | Explicit CC-BY-4.0 row filter; Hunyuan-labeled models excluded; checksums verified against metadata. Attribution: Scenario; modifications: normalization, surface sampling, Gaussian proxy rendering. |
| scenario-labs/3d-collection-hunyuan | Excluded | Dataset expressly prohibits using assets to train or improve AI models. |
| 3dlg-hcvc/MultiScan | Excluded | CC-BY-NC-4.0, gated scene data. |
| huanngzh/3D-Front | Excluded | CC-BY-NC-4.0, indoor scenes rather than directly aligned object targets. |
| facebook/show3d-dataset | Excluded | CC-BY-NC-4.0; interaction/video data needs a separate task-specific pipeline. |
| Voxel51/gaussian_splatting | Deferred; not used | Card labels Apache-2.0 and describes a few scene reconstructions. This object-centered recipe does not establish camera alignment, object crops, or source-scene rights from the card alone. No importer or download is provided. |
| allenai/objaverse | Added: CC0 assets only | Dataset compilation is ODC-By; assets have separate licenses. Script accepts only individual cc0 metadata entries, retains author/title/source links, and excludes animated assets. |
| allenai/objaverse-xl | Future candidate; not used | Heterogeneous per-file licensing; no blanket commercial-use assumption or importer in this kit. |
Pinned revisions:
- Scenario:
55b4c002b4c1529fc48da3dff98516c3069bfa3f - Objaverse:
556637099bf4fa79ea7b239d0d9c328b8a2e9ac8 - Original model:
1738cdfaf1bb940bf576a96d11b742ce014b9139
The actual asset inventory is generated as sources.json, with asset IDs, source
URLs, authors, licenses, revision IDs and SHA-256 hashes. Published releases copy
this file to ATTRIBUTIONS.json. Keep it with the released model. Rejected assets
are recorded in skipped.json. The model card must not list excluded or merely
considered datasets as training sources.