Add prepared dataset metadata and previews

.gitattributes

@@ -61,3 +61,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 previews/3dfront/test-geometry.glb filter=lfs diff=lfs merge=lfs -text
 previews/3dfront/train-geometry.glb filter=lfs diff=lfs merge=lfs -text
 previews/ycbv/test-geometry.glb filter=lfs diff=lfs merge=lfs -text
+previews/sage/test-geometry.glb filter=lfs diff=lfs merge=lfs -text
+previews/sage/train-geometry.glb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -18,6 +18,12 @@ configs:
   data_files:
   - split: test
     path: catalog/ycbv/test.jsonl
+- config_name: sage
+  data_files:
+  - split: test
+    path: catalog/sage/test.jsonl
+  - split: train
+    path: catalog/sage/train.jsonl
 ---
 
 # PartProbe3D preprocessed datasets
@@ -32,6 +38,8 @@ triangle surfaces, including hidden surfaces and overlapping object channels.
 | 3dfront | test | 10,066 | 935 |
 | 3dfront | train | 39,930 | 3,703 |
 | ycbv | test | 900 | 900 |
+| sage | test | 1,952 | 1,000 |
+| sage | train | 17,456 | 8,931 |
 
 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.
@@ -44,9 +52,14 @@ artifacts are in the archives.
 | --- | --- | --- | ---: | ---: |
 | 3dfront | True | True | 273.53 | 273.53 |
 | ycbv | True | True | 3.60 | 3.60 |
+| sage | False | False | 0.00 | 0.00 |
+
+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`.
-SAGE capture generation is still running and has no complete main extent dataset.
 FoundationPose currently has raw archives only. Diagnostic subsets, raw downloads,
 model weights and model-specific feature caches are not included.
 
@@ -56,15 +69,17 @@ Use the PartProbe3D checkout containing `preprocess/huggingface.py` and install
 preprocessing dependencies plus `huggingface-hub`. Run from the repository root:
 
 ```bash
-python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront
-python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset ycbv
+python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront --cleanup
+python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset ycbv --cleanup
+python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset sage --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/3dfront/extent/point_cloud` and
-`datasets/ycbv/extent/point_cloud`. Archives are cached under each dataset’s
-`archives/huggingface/` directory. Allow space for both archives and extraction.
+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;
@@ -77,6 +92,12 @@ python -m ss_multiobj_depth.prepare --config ss_multiobj_depth/configs/front3d.j
 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
@@ -117,3 +138,23 @@ View: `003c09039641a2b2efa1`.
 
 [Posed prompted GT geometry (GLB)](previews/ycbv/test-geometry.glb)
 
+### 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)
+

catalog.json

@@ -39,6 +39,27 @@
       "uploaded_bytes": 3862999040,
       "uploaded_archives": 5,
       "uploaded": true
+    },
+    {
+      "name": "sage",
+      "source_complete": true,
+      "views": 19408,
+      "counts": {
+        "test": {
+          "views": 1952,
+          "scenes": 1000
+        },
+        "train": {
+          "views": 17456,
+          "scenes": 8931
+        }
+      },
+      "source_manifest_sha256": "384f03647a4a54de36edb1465b1142604d34eb3e8f757e48e0ccbf5c936a7f9b",
+      "packaged": false,
+      "bytes": 0,
+      "uploaded_bytes": 0,
+      "uploaded_archives": 0,
+      "uploaded": false
     }
   ]
 }

metadata/sage/conversion_policy.json

@@ -0,0 +1,40 @@
+{
+  "schema": "partprobe3d.views",
+  "capture_manifest_sha256": "1cdb74a5004928d9ea1808a7faf187c1b2b18be2e7d70b424c5308d94e7a7c44",
+  "settings": {
+    "resolution": 64,
+    "padding": 1.0,
+    "center": null,
+    "cube_size": null,
+    "minimum_mask_pixels": 64,
+    "minimum_objects": 2,
+    "max_voxels": 0,
+    "extent_strategy": "point_cloud",
+    "extent_spec": {
+      "strategy": "point_cloud",
+      "options": {
+        "depth_quantile": 0.0525,
+        "far_margin": 0.125,
+        "padding": 1.31
+      },
+      "parameters": {},
+      "mode": "train"
+    }
+  },
+  "generator_sha256": "47c4d97f6f82f3046dfda9c9dc3be3f9bb3fd61048c729193ad4b8055872464d",
+  "adapter_sha256": "6d1659f116ff118f9a351711c4a0226c6c8d497d4622338a8c44faae2f02b683",
+  "exporter_sha256": "3d84f7e02ee746e7c010086e380e120c070ca69e4442284236aae4967c54e770",
+  "camera_sha256": "3670c55189445fe07e0fec3eb57981655e9359794e186a9244fbe4251db4c674",
+  "storage_sha256": "f68423c490d55d9c3f965d0acbd8452ecd4b8d5a6eb0a5c56cb643be5e852ec7",
+  "dataset_sha256": "da1559a5e6ef293cd79c56142b08edaabd61806ffccc260191c0f2a2aedf6085",
+  "voxelizer_sha256": "2822855eea00a6691f6f1c4866be6267b47585cbadbc3aefe404de04306f6a84",
+  "extent_cube_sha256": "c9f7b0e24940c1c65f9398750a55e4ac730e93b784985a5583770cf94db9679f",
+  "extent_base_sha256": "3202d6f613b9766593b9a215d86e8ccd678f253d2e7c815a6bb911c2bdc253fb",
+  "ss_depth_extent_sha256": "1a7bf1d6fb62a052507706af793df3206bcb28218fbbdb6d71ee2c9a3c3ddfd6",
+  "pixal3d_extent_sha256": "e8d8d5e77511e2847f23df3c7b9ba3d7da0b18af0481378765320ff726960c9f",
+  "point_cloud_extent_sha256": "be64d3ff560e92dd5da64d38aae1338c1b7b85dfc6fd3a6358017d62c2af2355",
+  "extent_factory_sha256": "e18dc4d8f9f1ef671bc537cae51877f2242bbe0a3bf513ba6a1e5f41dd186c09",
+  "extent_specification_sha256": "b0e8f0a7809192dbbfcb9da58108a632448ece4266630abafbd4571625dd4fa5",
+  "surface_voxelizer_sha256": "2cbdee866e50ad3364c2e8b62666fe33f700ca2bd2e518d10504f115b0d53f37",
+  "surface_alignment_sha256": "fa117c0f8fac4f280f4edc8e1cf8a96795e441ef5460197ffdb1840a0acaaf0d"
+}

metadata/sage/source-validation.json

@@ -0,0 +1,81 @@
+{
+  "scope": "sampled source artifacts and training-reader validation",
+  "source_root": "/app/PartProbe3D/datasets/sage/extent/point_cloud",
+  "manifest_sha256": "384f03647a4a54de36edb1465b1142604d34eb3e8f757e48e0ccbf5c936a7f9b",
+  "samples": [
+    {
+      "split": "train",
+      "id": "0002c10ce97a86f789fd",
+      "objects": 9,
+      "resolution": 64,
+      "voxels": 12443,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    },
+    {
+      "split": "train",
+      "id": "80c7677c9435ac701ab2",
+      "objects": 10,
+      "resolution": 64,
+      "voxels": 6268,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    },
+    {
+      "split": "train",
+      "id": "ffff3f93edab20a62d3f",
+      "objects": 37,
+      "resolution": 64,
+      "voxels": 1021,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    },
+    {
+      "split": "test",
+      "id": "0078d732045c32e0e3c2",
+      "objects": 25,
+      "resolution": 64,
+      "voxels": 804,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    },
+    {
+      "split": "test",
+      "id": "791b3a16f0eb8b129b9a",
+      "objects": 23,
+      "resolution": 64,
+      "voxels": 8713,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    },
+    {
+      "split": "test",
+      "id": "fff213d9fd1bd0963387",
+      "objects": 9,
+      "resolution": 64,
+      "voxels": 6270,
+      "rgb_shape": [
+        1024,
+        1024,
+        3
+      ]
+    }
+  ],
+  "complete": true,
+  "validated_views": 6
+}

previews/sage/test-geometry.glb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3784f50d737335442c6281d7b257f031e9c42ebf98f34a30e666759fde3c7574
+size 19746756

previews/sage/train-geometry.glb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b7b4753e957af34495f9145a7a7dcf7a83ded9dbb375dc875a6e9458baefa15
+size 10862304