Use reviewed registered masks for messykitchen evaluation

evaluation/README.md

@@ -3,7 +3,7 @@
 This bundle contains 2,603 single-image evaluation samples and their GT object meshes.
 The PartProbe3D benchmark requires this dataset.
 The Hugging Face repository stores this dataset under `evaluation/`.
-It requires about 23.4 GB, including RGB images, visible masks, previews, and shared geometry.
+The archive index records its transfer size, including RGB images, masks, previews, and shared geometry.
 It contains no training samples, depth maps, model weights, or image features.
 
 | Dataset | Images | Unique GT exports | Selection |
@@ -20,14 +20,14 @@ All archive members contain regular files.
 ## Mandatory files
 
 These paths refer to the Hugging Face repository root.
-The complete benchmark requires `evaluation/index.json` and all 26 archives listed below.
+The complete benchmark requires `evaluation/index.json` and every archive that it lists.
 
 | File or files | Count | Contents |
 | --- | ---: | --- |
 | `evaluation/index.json` | 1 | Archive inventory and SHA-256 checksums |
 | `evaluation/metadata.tar` | 1 | Portable manifests, original selections, and source provenance |
 | `evaluation/picasso-00000.tar` | 1 | All 100 PICASSO images, masks, previews, and GT meshes |
-| `evaluation/messykitchen-00001.tar` through `messykitchen-00022.tar` | 22 | All 1,503 MessyKitchens images, masks, previews, and 100 shared GT meshes |
+| `evaluation/messykitchen-<manifest-hash>-*.tar` | See index | All 1,503 MessyKitchens images, reviewed masks, independent channels, registration records, audit flags, previews, and 100 shared GT meshes |
 | `evaluation/3dfront-00023.tar` and `3dfront-00024.tar` | 2 | The selected 1,000 3D-FRONT test images, masks, previews, and GT meshes |
 
 The downloader restores every archive and checks its checksum.
@@ -56,15 +56,11 @@ Training files under `training/` serve model training separately.
 
 ## Restore
 
-Use the PartProbe3D checkout at Git revision `290027fe9f281a21db978a48da21bb9be90e5517`.
-Apply the supplied loader patch to that checkout:
+Use the current PartProbe3D checkout for restoration:
 
 ```bash
-hf download cubec/PartProbe3D-preprocessed code/evaluation.patch --repo-type dataset --local-dir outputs/huggingface/bootstrap
-git apply --check outputs/huggingface/bootstrap/code/evaluation.patch
-git apply outputs/huggingface/bootstrap/code/evaluation.patch
 python -m pip install -e '.[preprocess]'
-python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset evaluation
+python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task eval
 ```
 
 The downloader pins one Hub revision and verifies every archive checksum before restoration.
@@ -148,8 +144,23 @@ The original geometry hash remains provenance under `source_gt_sha256`.
 
 PICASSO and 3D-FRONT GT meshes use OpenCV camera coordinates in meters.
 MessyKitchens GT meshes use the registered scene coordinates in meters.
-Its SAM3 masks have no released GT correspondence or camera calibration.
-Use scene-relative alignment for MessyKitchens scoring.
+Its reviewed SAM3 masks use GT-assisted correspondence and camera recovery.
+The label images resolve overlapping channels by native SAM3 quality, with smaller object IDs breaking ties.
+Each view also retains the exact independent channels and registration records.
+All 13 flagged views remain in the 1,503-view set.
+The masks have no independent pixel annotations or released photo calibration.
+Use the `default` protocol (one global Sim(3)) for MessyKitchens scoring.
+
+The source loader uses `observations/registered/manifest.json` instead of the historical SAM3 observations.
+The portable loader reads the same labels from `datasets/evaluation/messykitchen`.
+Historical Hub revisions preserve the original masks and archive checksums.
+Existing predictions and selections retain their historical inputs.
+Create a separate selection before evaluating this mask release.
+
+Restoration refuses to replace files with different checksums.
+Before upgrading an existing installation, preserve its MessyKitchens directory and cohort index under `datasets/_deprecated/messykitchen/`.
+Then restore the requested datasets with the current task command.
+The [release report](../../reports/messykitchen_registered_release_20261024.md) records the published revision and migration paths.
 
 ## Sources and terms
 

evaluation/index.json

@@ -4,7 +4,7 @@
   "complete": true,
   "destination": "datasets/evaluation",
   "artifact_kind": "frozen-evaluation",
-  "source_manifest_sha256": "f4c0dce6c5b4839f70e8a36ce66df00a743dc6b4c531b59071f7603137f5fe8d",
+  "source_manifest_sha256": "07e478174c856f0a2535d43a936cb046daa95d3993aad9a44c554ba585eae7eb",
   "views": 2603,
   "datasets": {
     "picasso": {
@@ -15,7 +15,7 @@
     },
     "messykitchen": {
       "manifest": "messykitchen/manifest.json",
-      "sha256": "7c242941912b6d4cd7622ce7f8da73f3de98bce36c0e5ea9bdb71fb71417738c",
+      "sha256": "58d5499ff556fb7f61d46f1ab302e8585e2aa05e5d06f6777b4d476de485ee6f",
       "views": 1503,
       "unique_gt_meshes": 100
     },
@@ -30,10 +30,10 @@
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