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Eval harness for AQA A-level + GCSE-science image-only papers: finalize.py --b1-only, RapidOCR runner (rapid_pass.py via dsync), GT fixtures (make_b1_gt.py + b1_gt_labels.json), and fetch_b1_corpus.py to pull the eval corpus from .94 cc.examboards at runtime. Salvaged from t_15be12ed (which timed out on iteration budget re-running OCR): exam PDFs and generated OCR caches/reports are NOT committed (third-party copyright + reproducible) — gitignored and fetched/generated at runtime. Baseline coverage recorded in the task evidence file. Co-Authored-By: Claude Opus 4.8 <[email protected]>
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245 B
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6 lines
245 B
Plaintext
# B1 image-only eval corpus + pipeline outputs: fetched/generated at runtime, never committed.
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# Exam-board PDFs are third-party copyright (served only via signed URLs); results/ are reproducible.
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/samples/b1/
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/results/b1_rapid/
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/results/final/
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