- scenarios/siemens_build/siemens-pdf-build.yaml: dataset build for all 17 Siemens medical-imaging PDFs (aliyun_docmind parser, 10 questions/doc, failure_mode=skip, ~170 question total) - scenarios/offline/siemens-pdf-offline-smoke.yaml: offline evaluation using source chunks as contexts and ground_truth as answer (up to 30 samples) - scenarios/online/siemens-pdf-question-bank-online.yaml: online evaluation calling siemens_pdf_qa adapter, batch_size=4, up to 50 samples - apps/siemens_pdf_qa/adapter.py: Siemens-specific adapter with bilingual (zh/en) system prompt and strict evidence-grounding for CT domain - scripts/build_siemens_offline_smoke.py: helper to derive offline smoke CSV from completed dataset build artifacts (run after dataset build step) - docs/superpowers/specs/2026-06-15-siemens-scenario-design.md: design spec All three scenarios are automatically discovered by the web console. Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
18 lines
491 B
YAML
18 lines
491 B
YAML
job_name: siemens-pdf-question-bank
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input:
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path: ../../datasets/siemens-pdfs
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glob: "*.pdf"
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parser:
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provider: aliyun_docmind
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failure_mode: skip
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generation:
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output_type: online_question_bank
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review_mode: draft_with_manual_review
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max_questions_per_document: 10
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max_source_chunks_per_question: 3
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output:
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dataset_path: ../../datasets/raw/generated/siemens-pdf-question-bank.csv
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artifact_dir: ../../outputs/dataset-builds/siemens-pdf-question-bank
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runtime:
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max_documents: 17
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