feat: port wangyu data pipeline and scripts into code/ structure

- code/src/data/: data_generator, dataset, llm_judge, __init__
  (multi-turn LLM dialogue generator, JSONL loader, LLM auto-annotator)
- code/scripts/: generate_siliconflow.py (SiliconFlow async generator, 701 lines)
  run_detector.sh / run_intervention.sh / run_full_pipeline.sh (launch scripts)
- code/configs/intervention_config.yaml: add reward.w1-w5 reference block
  (NOTE: v5 reward.py uses hardcoded constants; these fields are reference-only)
- .gitignore: fix data/ pattern to /data/ to avoid matching code/src/data/

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.gitignore

@@ -1,5 +1,5 @@
 # === 数据集（体积过大）===
-data/
+/data/
 code/data/
 
 # === 模型权重 ===