更新

scenarios/online/siemens-pdf-question-bank-online.yaml

@@ -1,28 +1,26 @@
 scenario_name: siemens-pdf-question-bank-online
 mode: online
 dataset: ../../datasets/raw/generated/siemens-pdf-question-bank.csv
-# judge_model: qwen3.5-flash
 judge_model: deepseek-v4-flash
 embedding_model: text-embedding-v3
-optimization_advisor: true      # 评测结束后自动生成优化建议报告
+optimization_advisor: true
 metrics:
-  - faithfulness
-  - answer_relevancy
-  - context_recall
-  - context_precision
-  # 已启用：鲁棒性 / 端到端指标（数据集已含 ground_truth）
-  - noise_sensitivity        # 鲁棒性：对检索噪声的敏感度
-  - factual_correctness      # 端到端：事实正确性（相对标准答案）
-  - semantic_similarity      # 端到端：语义相似度（embedding，无 LLM 调用）
+- faithfulness
+- answer_relevancy
+- context_recall
+- context_precision
+- noise_sensitivity
+- factual_correctness
+- semantic_similarity
 output_dir: ../../outputs/online/siemens-pdf-question-bank
 runtime:
-  batch_size: 4
-  app_concurrency: 4
-  metric_concurrency: 4
-  max_samples: 50
+  batch_size: 3
+  app_concurrency: 3
+  metric_concurrency: 3
+  max_samples: 10
 app_adapter:
   type: python
   callable: apps.siemens_pdf_qa.adapter:run
   static_kwargs:
     source_chunks_path: ../../outputs/dataset-builds/siemens-pdf-question-bank/latest/source_chunks.jsonl
-    model: deepseek-v4-flash
+    model: glm-5