CSV ➔ Eval Dataset
Convert raw query-response CSV files into structured JSONL validation datasets and assertion rubrics in-browser.
How It Works
This prototype acts as an offline helper compiling raw query logs. It normalizes comma-separated structures, auto-detects input vs expected headers, and maps them to standard assertion objects suitable for validation loops.
Use Cases
- Structuring user execution history CSVs into RAG evaluation tables.
- Generating programmatic validation rubrics from product spreadsheet specs.
- Bootstrapping assertions for multi-agent validation loops.
Planned CLI
Deploy dataset compilation and assertion rubric tests offline inside your local workspace via our planned command:
ℹ Planned install command: pip install tesserakit-core tesserakit-evals