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Dataset pipeline
Label ingestion, augmentation progress, and retrain job lifecycle
Labels queued
14
Ready for next export
Total labels
154
All time
Active retrain
1
rt_005 — running
Next export
02:00
Daily · EAT
Current pipeline run — rt_005
● Augmentation in progress
✓
Label export
02:00 EAT
14 labels exported to R2 as JSONL
✓
ML notification
02:01 EAT
Webhook fired to ML pipeline
↻
Augmentation
04:30 EAT
Dataset augmentation in progress
○
Model retrain
Est. 08:00 EAT
Waiting for augmentation
○
Eval & validate
Est. 14:00 EAT
Automated eval suite
○
Deploy
Est. 16:00 EAT
Replace production weights
Labels by media type & status
Ingestion queue — JSONL exports
Export fileLabelsSizeStatusDate
datasets/labels_2026-04-18.jsonl148.2 KBaugmented2026-04-18 02:00
datasets/labels_2026-04-11.jsonl2213.1 KBtrained2026-04-11 02:00
datasets/labels_2026-04-04.jsonl1810.8 KBtrained2026-04-04 02:00
datasets/labels_2026-03-28.jsonl3118.4 KBtrained2026-03-28 02:00
datasets/labels_2026-03-21.jsonl95.4 KBarchived2026-03-21 02:00
Retrain job history
Job IDStartedStatusSamplesAccuracy deltaDuration
rt_0052026-04-18 04:30● Running4,834—~3h 30m remaining
rt_0042026-03-28 06:00trained4,820+1.2%6h 14m
rt_0032026-02-14 06:00trained3,640+0.8%5h 02m
rt_0022026-01-10 06:00trained2,100+2.1%4h 38m