AI Dataset Health ZOS

AI dataset health scoring for IBM Z / zOS telemetry with production-minded packaging and reporting.

Why this matters

• Brings repeatable AI data-quality checks to IBM Z and z/OS-centric workflows.
• Supports operational reporting patterns used in enterprise mainframe environments (for example PDSE/GDG outputs).
• Keeps model inference and governance lightweight by using ONNX-based scoring and CLI automation.

Features

• File Listing: List all files in the repository for analysis and inventory

Quick start

# Install the package in development mode
pip install -e .

# Run health check using the console script
ai-dataset-health-zos --health .

# Or run directly with Python module (development)
PYTHONPATH=src python -m ai_dataset_health_zos.cli --health .

Usage

Health Analysis

# Using the installed console script
ai-dataset-health-zos --health .
ai-dataset-health-zos --health /path/to/repository

# Development mode (without installation)
PYTHONPATH=src python -m ai_dataset_health_zos.cli --health .

List Repository Files (Legacy)

# List files in current directory
python3 list_files.py

# List files in specific repository path
python3 list_files.py /path/to/repository

# Run as executable
./list_files.py

Files

• list_files.py - Tool to list all files in the repository
• README.md - This documentation file
• LICENSE - Apache-2.0 license file

License

License: Apache-2.0 (see LICENSE). Docs under CC BY 4.0.