9. Metadata Reviewer User Manual#
Package: ai4data.metadata.reviewer
A multi-agent LLM pipeline for dataset metadata quality assurance.
Detect typos, inconsistencies, invalid content, and missing information across metadata records — automatically and consistently.
This manual is the operational reference for installing, configuring, and running the Metadata Reviewer. For a shorter overview of the pipeline and design rationale, see the Metadata Reviewer overview.
9.1. Contents#
Introduction — what the package does and how this manual is organized
Core Concepts — pipeline, categories, severity, output schema, architecture
Installation — requirements and provider extras
Quick Start — build a client, submit metadata, retrieve results
The Client API — constructor, factories, submission, job management
Jobs — lifecycle, waiting, cancellation, cleanup
Advanced Usage — team presets, custom manifests, exclusion rules
AI Suggestion Review Board — triage pipeline output in the browser
End-to-End Workflow — catalogue review cycle
Troubleshooting & FAQ — common problems and fixes