Add JSONL dataset format support #131
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Add support for JSONL (JSON Lines) format as an alternative to YAML for evaluation datasets, following industry standards from DeepEval, LangWatch, Hugging Face, and OpenAI. Key features: - Pure JSONL files (one eval case per line) - Optional sidecar YAML for metadata and defaults - Per-case overrides for execution and evaluators - Same file reference resolution as YAML - Fully backward compatible with existing YAML files Benefits: - Memory efficient for large datasets - Git-friendly line-based diffs - Easy programmatic generation and appending - Compatible with standard JSONL tools Includes complete proposal, design doc, implementation tasks, and spec with 8 requirements and 27 scenarios.
Add JSONL (JSON Lines) format as an alternative to YAML for evaluation datasets, following industry standards from DeepEval, LangWatch, and Hugging Face. Key features: - Pure JSONL data format (one eval case per line) - Optional sidecar YAML metadata file for dataset defaults - Per-case overrides for execution, evaluators, and rubrics - Line-by-line parsing with clear error messages - Same validation and file reference resolution as YAML - Full backward compatibility with existing YAML files Benefits: - Streaming-friendly for large datasets - Git-friendly line-based diffs - Easy programmatic generation - Standard tool compatibility (jq, grep, etc.)
- Replace jsonl-format example with basic-jsonl (mirrors basic example) - Add file reference examples in JSONL format - Update eval-builder skill with JSONL format documentation
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Summary
Add support for JSONL (JSON Lines) format as an alternative to YAML for evaluation datasets.
Why
Enables large-scale evaluation workflows following industry standards (DeepEval, LangWatch, Hugging Face, OpenAI):
Design
Files
Validation
✅ Passed \openspec validate --strict\
Next Steps
This is a proposal only - no implementation yet. Awaiting review and approval before proceeding with implementation phases.