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Document reviewed MessyKitchens evaluation masks and current download sizes

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  1. README.md +8 -4
  2. evaluation/README.md +1 -1
README.md CHANGED
@@ -36,7 +36,7 @@ The benchmark also requires the separate download with `--dataset evaluation`.
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  | `evaluation/3dfront-*.tar` | Benchmark evaluation | The selected 1,000 3D-FRONT test images, masks, previews, and GT meshes |
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  Restore every archive listed in the selected component's `index.json`.
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- The evaluation bundle has 26 mandatory archives and requires about 23.4 GB.
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  Older checkouts also require the corresponding restore patch under `code/`.
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  <!-- partprobe3d-required-files:end -->
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@@ -231,14 +231,18 @@ It includes all 100 PICASSO images, all 1,503 MessyKitchens images, and 1,000 ra
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  The PartProbe3D benchmark requires this dataset.
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  Benchmark inference and scoring require geometry meshes.
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  Model comparisons preserve native geometry and omit independent texture generation.
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- The transfer is 23.40 GB.
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  MessyKitchens shares 100 GT scene meshes across its views.
 
 
 
 
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  Default training downloads exclude this bundle.
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- Apply the loader patch described in the bundle documentation before evaluating its samples.
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  ```bash
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- python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset evaluation
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  ```
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  <!-- partprobe3d-frozen-evaluation:end -->
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  | `evaluation/3dfront-*.tar` | Benchmark evaluation | The selected 1,000 3D-FRONT test images, masks, previews, and GT meshes |
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  Restore every archive listed in the selected component's `index.json`.
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+ The evaluation bundle has 33 mandatory archives and requires 29.313 GB.
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  Older checkouts also require the corresponding restore patch under `code/`.
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  <!-- partprobe3d-required-files:end -->
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  The PartProbe3D benchmark requires this dataset.
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  Benchmark inference and scoring require geometry meshes.
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  Model comparisons preserve native geometry and omit independent texture generation.
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+ The transfer is 29.313 GB.
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  MessyKitchens shares 100 GT scene meshes across its views.
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+ MessyKitchens uses reviewed GT-assisted SAM3 masks for all 1,503 views.
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+ The bundle retains exact independent masks, registration records, and all 13 audit flags.
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+ Native SAM3 quality resolves overlap for evaluation labels, with smaller object IDs breaking ties.
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+ See the [mask release](https://github.com/cube-c/PartProbe3D/blob/main/reports/messykitchen_registered_release_20261024.md) for the pinned revision and migration paths.
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  Default training downloads exclude this bundle.
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+ Use the current project checkout for the task commands.
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  ```bash
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+ python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task eval
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  ```
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  <!-- partprobe3d-frozen-evaluation:end -->
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evaluation/README.md CHANGED
@@ -160,7 +160,7 @@ Create a separate selection before evaluating this mask release.
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  Restoration refuses to replace files with different checksums.
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  Before upgrading an existing installation, preserve its MessyKitchens directory and cohort index under `datasets/_deprecated/messykitchen/`.
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  Then restore the requested datasets with the current task command.
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- The [release report](../../reports/messykitchen_registered_release_20261024.md) records the published revision and migration paths.
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  ## Sources and terms
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  Restoration refuses to replace files with different checksums.
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  Before upgrading an existing installation, preserve its MessyKitchens directory and cohort index under `datasets/_deprecated/messykitchen/`.
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  Then restore the requested datasets with the current task command.
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+ The [release report](https://github.com/cube-c/PartProbe3D/blob/main/reports/messykitchen_registered_release_20261024.md) records the published revision and migration paths.
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  ## Sources and terms
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