dataset-loader
CommunityStandardize image dataset loading and manifests.
Authorrilical
Version1.0.0
Installs0
System Documentation
What problem does it solve?
dataset-loader provides a standardized approach to add or update dataset loaders, transforms, split manifests, sample-id policies, and env-var based dataset access for image datasets such as CommunityForensics-Small, VCT2, RAID, and ARIA.
Core Features & Use Cases
- Centralizes dataset parsing in src/owaid/data/ and returns a shared schema: image, label, meta.
- Keeps loader interfaces stable across train and eval, with actionable error messages for missing env vars or unexpected paths.
- Use Case: Add a new dataset by implementing a parser under src/owaid/data/ that returns the standardized schema so downstream components can consume it consistently.
Quick Start
Create a new dataset loader under src/owaid/data/, implement parsing to return image, label, meta, and ensure stable IDs for caches and manifests.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dataset-loader Download link: https://github.com/rilical/OpenWorld-AI-Image-Detection/archive/main.zip#dataset-loader Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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