feat: Phase 2 - Data Layer (Dataset Loaders & Validation)#4
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- Add BaseDatasetLoader abstract interface and Dataset/DatasetItem models - Add Pydantic validation models (DatasetItemModel, DatasetModel) - Implement JSON dataset loader (JSONDatasetLoader) - Implement JSONL dataset loader (JSONLDatasetLoader) - Implement CSV dataset loader (CSVDatasetLoader) - Implement HuggingFace dataset loader (HFDatasetLoader) - Add comprehensive unit tests (71 new tests, all passing) - Update datasets/__init__.py with public API exports Phase 2 implements the complete data layer for OpenAgent Eval, supporting JSON, JSONL, CSV, and HuggingFace dataset formats with full validation and error handling.
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Summary
Implement the complete Data Layer for OpenAgent Eval (Phase 2), providing dataset loading and validation capabilities for JSON, JSONL, CSV, and HuggingFace formats.
Motivation
Phase 2 is the next step after the Phase 1 Foundation. The data layer is essential for the evaluation pipeline to load and validate datasets before evaluation.
Files Modified
New Files
Modified Files
Architectural Decisions
Breaking Changes
None - this is purely additive.
Testing
Remaining TODOs
Assumptions & Limitations