CSV ➔ Eval Dataset
Convert raw query-response CSV files into structured JSONL validation datasets and assertion rubrics in-browser.
DATA_INPUT // csv_reader
EVAL_OUTPUT // jsonl_assertions
Awaiting CSV Data Ingestion...
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:
ℹPlanned install command: pip install tesserakit-core tesserakit-evals
Tool Profile
StatusLocal Prototype
ModeBrowser prototype
EngineToolSmith
ContractTessera-compatible
Future WiringTessera JobPack
OutputJSONL + Rubric draft
Browser Limits
Online uploads are restricted to 10 rows. Local CLI executions run offline with zero restrictions.