<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
• Added load_golden_context parameter to BaseBenchmarkAdapter's abstract
load_corpus method, establishing a common interface for retrieving
supporting evidence
• Refactored HotpotQAAdapter with a modular design: introduced
_get_metadata_field_name method to handle dataset-specific fields
(making it extensible for child classes), implemented get golden context
functionality.
• Refactored TwoWikiMultihopAdapter to inherit from HotpotQAAdapter,
overriding only the necessary methods while reusing parent's
functionality
• Added golden context support to MusiqueQAAdapter with their
decomposition-based format
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced an option to include additional context during corpus
loading, enhancing the quality and flexibility of generated QA pairs.
- **Refactor**
- Streamlined and modularized the processing workflow across different
adapters for improved consistency and maintainability.
- Updated metadata extraction to refine the display of contextual
information.
- Shifted focus in the `TwoWikiMultihopAdapter` from corpus loading to
context extraction.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
This PR contains the evaluation framework development for cognee
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Expanded evaluation framework now integrates asynchronous corpus
building, question answering, and performance evaluation with adaptive
benchmarks for improved metrics (correctness, exact match, and F1
score).
- **Infrastructure**
- Added database integration for persistent storage of questions,
answers, and metrics.
- Launched an interactive metrics dashboard featuring advanced
visualizations.
- Introduced an automated testing workflow for continuous quality
assurance.
- **Documentation**
- Updated guidelines for generating concise, clear answers.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
