CalibratedDecisions.

Repo · Data & extraction

jev-dataops

A workbench for data selection, quality scoring and LoRA training.

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From the repository

An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.

How builders describe it

An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.
Self-hosted workbench that screens JSONL or CSV into keep, review and reject partitions, then fine-tunes your own model and reports loss and perplexity on a held-out split.

The decision Jev makes

Keep or drop a row, assign a label, or select one field value at a time.

Where it fits

Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →

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