OCR

The primary artifact is ocr.jsonl còn artifact_metadata.jsonl records the input, model, prompt version, subset, and Git lineage

`ocr.jsonl`

Each line is one OCRFragment, a visible text region in one keyframe.

Common fields:

fragment_id: OCR observation identifier
video_id: source video identifier
time_span: [timestamp_ms, timestamp_ms] in source video time
text: recognized visible text
bbox: normalized text region with x_min, y_min, x_max, and y_max

There is no placeholder for frames without text and no fabricated confidence score. Join OCR with captions or detections on video_id and timestamp; compare normalized bounding boxes when spatial context is needed.

Generation flow

HunyuanOCR reads the canonical keyframe images, emits visible text regions, and the job validates each result as an OCRFragment. It publishes one flat JSONL file and removes provider work files and the retired bundled OCR representation after a successful run.

Run OCR for the original keyframe set:

make data-ocr INPUT=/data/aic/shared/artifacts/keyframes/keyframes.jsonl OUTPUT=/data/aic/shared/artifacts/ocr SUBSET=700vid