wangwei
75ae7927ad
- 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>
23 lines
654 B
YAML
23 lines
654 B
YAML
scenario_name: siemens-pdf-question-bank-online
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mode: online
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dataset: ../../datasets/raw/generated/siemens-pdf-question-bank.csv
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judge_model: deepseek-v4-flash
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embedding_model: text-embedding-v3
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metrics:
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- faithfulness
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- answer_relevancy
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- context_recall
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- context_precision
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output_dir: ../../outputs/online/siemens-pdf-question-bank
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runtime:
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batch_size: 4
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app_concurrency: 4
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metric_concurrency: 4
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max_samples: 50
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app_adapter:
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type: python
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callable: apps.siemens_pdf_qa.adapter:run
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static_kwargs:
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source_chunks_path: ../../outputs/dataset-builds/siemens-pdf-question-bank/latest/source_chunks.jsonl
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model: deepseek-v4-flash
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