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Dataset-to-Model Monitor - AI Model Libraries & Training Tool

Overview

Dataset-to-Model Monitor monitors datasets and tracks models trained on them. It helps teams manage and oversee AI model performance and dataset-model relationships. The project is hosted on Hugging Face Spaces; consult the linked discussion for details, documentation, and maintainer contact information.

Key Features

  • Monitors datasets and dataset changes
  • Tracks models trained on monitored datasets
  • Manages dataset-model relationships and provenance
  • Supports oversight of AI model performance

Ideal Use Cases

  • Track which models were trained on a specific dataset
  • Maintain dataset-model provenance for audits
  • Monitor model performance linked to dataset updates
  • Coordinate dataset governance across development teams

Getting Started

  • Open the tool page on Hugging Face Spaces
  • Read the discussion thread for documentation and usage notes
  • Contact the project maintainers for integration or access questions
  • Test with a small dataset to validate monitoring and tracking

Pricing

Not disclosed. Check the Hugging Face Spaces page or contact the project maintainers for pricing information.

Limitations

  • Pricing and commercial terms are not publicly disclosed
  • Public documentation on integrations and supported formats is limited
  • May require contacting maintainers for deployment or access details

Key Information

  • Category: Model Libraries & Training
  • Type: AI Model Libraries & Training Tool
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