{ "sha": "c34dcabc6af9dbfb982a99c2e7f43d379ce5d0d7", "subject": "Dedupe eval prompts by normalized hash", "message": "Dedupe eval prompts by normalized hash\n\nTrail-Session: codex:3b7ca10c-bd5b-4d7b-84c6-abec8ec84be4\nTrail-Link: http://localhost:8787/repos/ml-pipeline/session/3b7ca10c-bd5b-4d7b-84c6-abec8ec84be4", "author": "Maya Chen ", "date": "2026-10-30T17:00:00Z", "branch": "main", "files": [ "M data.py" ], "artifacts": { "files": [ "logs/dedupe-report.txt" ], "skipped": [] }, "sessions": [ { "key": "codex:3b7ca10c-bd5b-4d7b-84c6-abec8ec84be4", "harness": "codex", "session_id": "3b7ca10c-bd5b-4d7b-84c6-abec8ec84be4", "title": "Eval numbers look too good. Check whether eval prompts leak into train and fix the split.", "dir": "ml-pipeline/users/maya@acme.dev/sessions/3b7ca10c-bd5b-4d7b-84c6-abec8ec84be4", "transcript_range": [ 0, 10 ] } ] }