---
language:
- en
tags:
- 3d
- depth
- segmentation
- voxel-occupancy
pretty_name: PartProbe3D preprocessed datasets
configs:
- config_name: sage
  data_files:
  - split: test
    path: catalog/sage/test.jsonl
  - split: train
    path: catalog/sage/train.jsonl
- config_name: 3dfront
  data_files:
  - split: test
    path: catalog/3dfront/test.jsonl
  - split: train
    path: catalog/3dfront/train.jsonl
- config_name: ycbv
  data_files:
  - split: test
    path: catalog/ycbv/test.jsonl
---

# PartProbe3D preprocessed datasets

Saved 64³ training and evaluation inputs for PartProbe3D. These archives preserve
RGB, visible object masks, depth and validity, camera calibration, posed meshes,
scene occupancy and independent per-object voxel occupancy. Targets describe mesh
triangle surfaces, including hidden surfaces and overlapping object channels.

| Dataset | Split | Views | Scenes |
| --- | --- | ---: | ---: |
| sage | test | 1,952 | 1,000 |
| sage | train | 17,456 | 8,931 |
| 3dfront | test | 10,066 | 935 |
| 3dfront | train | 39,930 | 3,703 |
| ycbv | test | 900 | 900 |

3D-FRONT uses the pinned last 1,000 MIDI rooms for testing and all other rooms
for training; all views of a room stay together. There is no validation split.
YCB-V is evaluation only. The viewer contains metadata indices; binary training
artifacts are in the archives.

## Upload status

| Dataset | Packaging complete | Upload complete | Packaged GiB | Transferred GiB |
| --- | --- | --- | ---: | ---: |
| sage | False | False | 317.76 | 317.76 |
| 3dfront | True | True | 273.53 | 273.53 |
| ycbv | True | True | 3.60 | 3.60 |

SAGE-10k keeps every room and view of a source layout in the same split,
using the saved SHA-256 layout split with a 10% test fraction and no validation split.
The completed extent dataset retains 19,408 training/evaluation views;
592 source captures were rejected by target preparation.

Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`.
FoundationPose currently has raw archives only. Diagnostic subsets, raw downloads,
model weights and model-specific feature caches are not included.

## Restore on another server

Use the PartProbe3D checkout containing `preprocess/huggingface.py` and install its
preprocessing dependencies plus `huggingface-hub`. Run from the repository root:

```bash
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset sage --cleanup
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront --cleanup
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset ycbv --cleanup
```

Downloads resume through Hugging Face. Restoration verifies every archive SHA-256
and refuses to replace different existing data. `--revision <commit>` pins a release.
The extracted roots are `datasets/<dataset>/extent/point_cloud`. `--cleanup` downloads
and restores one archive at a time, deleting each only after checksum verification and
successful extraction. Temporary archives use `datasets/<dataset>/archives/huggingface/`.
Without `--cleanup`, all downloaded archives are retained for reuse.

The loaders resolve `sample`, camera, geometry and target paths relative to the
dataset root. Historical absolute `file` and raw asset paths remain provenance;
loading saved samples and geometry does not require those paths or raw assets.

Prepare the model-specific features on the destination server, then train:

```bash
python -m ss_multiobj_depth.prepare --config ss_multiobj_depth/configs/front3d.json
python -m ss_multiobj_depth.train --config ss_multiobj_depth/configs/front3d.json
```

The mixed 32³ SLAT training config reads the saved 64³ datasets and pools grids online:

```bash
python -m slat_segmentation.train --config slat_segmentation/configs/front3d_sage_32.json
```

## Provenance

Original manifests, artifact completion markers, checksums, identities and split
policies are retained byte-for-byte inside the archives. Generation settings and
code hashes are also available under `metadata/<dataset>/conversion_policy.json`.
No model checkpoint was used for this upload; no checkpoint weights are included.
Source datasets retain their original licenses and access terms.

## Input and geometry previews

### sage: test

View: `0078d732045c32e0e3c2`.

![RGB](previews/sage/test-rgb.png)

![Prompt masks](previews/sage/test-overlay.png)

[Posed prompted GT geometry (GLB)](previews/sage/test-geometry.glb)

### sage: train

View: `0002c10ce97a86f789fd`.

![RGB](previews/sage/train-rgb.png)

![Prompt masks](previews/sage/train-overlay.png)

[Posed prompted GT geometry (GLB)](previews/sage/train-geometry.glb)

### 3dfront: test

View: `0001acce61c945bf4470`.

![RGB](previews/3dfront/test-rgb.png)

![Prompt masks](previews/3dfront/test-overlay.png)

[Posed prompted GT geometry (GLB)](previews/3dfront/test-geometry.glb)

### 3dfront: train

View: `0000b002995b4131d534`.

![RGB](previews/3dfront/train-rgb.png)

![Prompt masks](previews/3dfront/train-overlay.png)

[Posed prompted GT geometry (GLB)](previews/3dfront/train-geometry.glb)

### ycbv: test

View: `003c09039641a2b2efa1`.

![RGB](previews/ycbv/test-rgb.png)

![Prompt masks](previews/ycbv/test-overlay.png)

[Posed prompted GT geometry (GLB)](previews/ycbv/test-geometry.glb)