| # Task-specific data downloads |
|
|
| Use project Git revision `76437eb951160603d0bfd4797212094aea67a4fa` or later. |
| The measured sizes refer to HF data revision `523986807833b27eb2d1760d3fbc3b863a95ed2c`. |
| Sizes use decimal GB. Local extracted data needs additional space. |
| A dry run reads small indices. It does not transfer data archives. |
|
|
| <!-- partprobe3d-tasks:start --> |
| ## Download by task |
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|
| Select a task to avoid unnecessary data transfers. |
| The [task catalog](index.json) records component paths, sizes, and the data revision. |
| The [task guide](README.md) lists downloads for individual datasets. |
|
|
| | Task | Required data | Default transfer, GB | |
| | --- | --- | ---: | |
| | [`eval`](eval/index.json) | RGB, masks and GT meshes | 29.313 | |
| | [`ss`](ss/index.json) | Observations and native SS targets | 265.667 | |
| | [`slat-seg`](slat-seg/index.json) | Observations only | 221.950 | |
| | [`slat-shape`](slat-shape/index.json) | Observations and 32³ object shape targets | 233.780 | |
| | [`all-training`](all-training/index.json) | All published training components | 277.497 | |
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| Use the current project checkout for these commands. |
| Preview the transfer before downloading: |
|
|
| ```bash |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task ss --dry-run |
| ``` |
|
|
| Select the task required by this server: |
|
|
| ```bash |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task eval |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task ss |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-seg |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-shape |
| ``` |
|
|
| Select individual datasets with `--dataset`, using commas for multiple datasets. |
|
|
| ```bash |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task eval --dataset picasso |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task eval --dataset picasso,messykitchen |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-seg --dataset foundationpose |
| ``` |
|
|
| Task defaults follow the published component inventory. |
| Explicit shape requests require matching object targets before archive transfer. |
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| SS uses the published native targets without another target encoding pass. |
| Segmentation computes its instance codes and image features during training. |
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| Online shape conditioning avoids a separate image-feature cache. |
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| Evaluation metadata excludes the project README. Dataset provenance documents remain in the archive. |
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| Model weights remain separate. Download only the assets required by the selected model. |
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| Old commands without `--task` still restore all training components. |
| <!-- partprobe3d-tasks:end --> |
|
|
| | Task | Dataset | Transfer, GB | |
| | --- | --- | ---: | |
| | `eval` | picasso | 0.171 | |
| | `eval` | messykitchen | 27.219 | |
| | `eval` | 3dfront | 1.960 | |
| | `ss` | 3dfront | 118.161 | |
| | `ss` | sage | 77.456 | |
| | `ss` | foundationpose | 70.051 | |
| | `ss` | omni6dpose | 216.880 | |
| | `slat-seg` | 3dfront | 86.911 | |
| | `slat-seg` | sage | 73.280 | |
| | `slat-seg` | foundationpose | 61.758 | |
| | `slat-seg` | omni6dpose | 70.945 | |
| | `slat-shape` | 3dfront | 91.760 | |
| | `slat-shape` | sage | 74.558 | |
| | `slat-shape` | foundationpose | 67.462 | |
| | `slat-shape` | omni6dpose | 72.684 | |
| | `all-training` | 3dfront | 123.009 | |
| | `all-training` | sage | 78.734 | |
| | `all-training` | foundationpose | 75.755 | |
| | `all-training` | omni6dpose | 218.618 | |
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| Evaluation sizes include the shared metadata archive for each individual dataset. |
| Combined selections download shared metadata once. |
| Existing archives keep their original paths and checksums. |
| No training or evaluation result changes. |
|
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| Regenerate this catalog after publishing new components: |
|
|
| ```bash |
| python -m preprocess.tasks publish --repo cubec/PartProbe3D-preprocessed --output outputs/huggingface/tasks |
| ``` |
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|
