Installs into .claude/skills of the current project.
Are you the author of Data Loading Preprocessing?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/vectorspacelab-data-loading-preprocessing)
---
name: data-loading-preprocessing
description: "Prepare, inspect, and smoke-test MedicalZooPytorch dataset
layouts, medical-image preprocessing, subvolume generation, normalization,
resampling, coordinate transforms, and 3D augmentation."
metadata:
disco-role: operating
disable-model-invocation: true
license: MIT
---
# Data Loading and Preprocessing
Use this sub-skill for the repository's data-preparation path only:
- dataset folder layouts and manifest formats
- loader arguments and dispatcher entry points
- subvolume generation and cached patch files
- normalization, resampling, cropping, and coordinate transforms
- 3D augmentation operators and synthetic smoke checks
Do not use this route for model selection, training, checkpointing, inference, or loss design.
Hand those off to sibling sub-skills.
## Start here
- `references/data-layout.md` — dataset folders, filenames, manifests, and generated cache paths
- `references/workflows.md` — preprocessing recipes, loader argument map, and smoke-script usage
- `references/troubleshooting.md` — common missing-data, shape, and transform failures
- `scripts/smoke_preprocessing.py` — synthetic NIfTI preprocessing smoke
- `scripts/smoke_augmentations.py` — synthetic 3D augmentation smoke
- `scripts/smoke_dataloaders.py` — synthetic loader and manifest smoke
## Key entry points
- `lib.medloaders.generate_datasets(...)`
- `lib.medloaders.select_full_volume_for_infer(...)`
- `lib.medloaders.medical_image_process.load_medical_image(...)`
- `lib.medloaders.medical_loader_utils.create_sub_volumes(...)`
- `lib.augment3D.RandomChoice(...)`
## Coverage
This route covers the loader and preprocessing families that prepare data for later training or inference:
- ISEG 2017 and 2019
- BraTS 2018, 2019, and 2020
- MRBRAINS 2018
- IXI T1/T2
- MICCAI 2019 Gleason pathology
- COVIDx and COVID CT manifest-based 2D loaders
## Native-check note
The bundled scripts use tiny synthetic fixtures only. The repo's original data-loader checks remain blocked until the real datasets are placed in the documented folders.
