ModelRig

Import historical records

Turn a CSV or JSONL of your past corrected records into grades your grader can learn from — and, when you include the corrected output, into golden eval cases. It is dry-run first: you always see what would be created (and which rows can't be read) before anything is written. Imported grades are stamped with their import batch and feed the route's calibration as ordinary human grades.

see where this fits ▸ /setup

1. The records

2. Declare the mapping

Which fields hold the input and the historical output, and how a label maps to a 0–1 score. The score is declared, never guessed — a label not in your map makes that row unparseable (listed, not dropped).

Score from
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3. Route & origin

The route attributes the imported grades to that grader's calibration (never guessed). A corrected-output field needs a route (the eval case's task).