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Description
Support rigorous scientific experimentation by developing an automation framework. Create batch processing tools to systematically run experiments over large datasets, logging results with structured metadata. Build dataset management utilities for import, annotation, and test case generation. Integrate statistical analysis and reporting capabilities to facilitate insight extraction and documentation.
Key Tasks:
- Develop batch processing and automated experiment runner
- Implement structured logging of experimental data
- Create dataset management tools
- Integrate statistical analysis and reporting
Deliverables:
✅ Automated experiment framework
✅ Dataset utilities
✅ Analytics dashboard or exportable reports
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