PacketCourt
Collection
PacketCourt audits food-package claims against label evidence using small, transparent AI models. • 9 items • Updated • 1
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PacketCourt Community Feedback
This dataset is PacketCourt's public correction-driven learning queue.
Each submitted review preserves:
- the original front and back label evidence;
- PacketCourt's claim verdicts and investigation path;
- the independent Nemotron evidence-gap review;
- the user's correction or confirmation;
- candidate evidence-router examples.
Learning policy
New records begin with:
{
"review_status": "pending_human_review",
"training_eligible": false
}
Public feedback never fine-tunes a production model immediately. That would allow accidental or malicious feedback to poison later audits. A correction must first be checked against the supplied packet evidence. Approved records can then be promoted into a versioned router-training release and evaluated against PacketCourt's golden cases before deployment.
Nemotron reviews investigations and missing evidence. It is not silently self-modified by community feedback.
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