director: 40 topics + collect/train/eval driver

kaggle/director_sft.py

@@ -11,9 +11,12 @@ style order. Freezing the rest also keeps a 0.8B model training inside 15 GB.
 """
 import json
 import os
+import sys
 import time
 from pathlib import Path
 
+sys.path.insert(0, str(Path(__file__).parent))
+
 ROOT = Path(os.environ.get("WORK_ROOT", "/kaggle/working"))
 OUT = ROOT / "director"
 MODEL_ID = os.environ.get("DIRECTOR_MODEL", "Qwen/Qwen3.5-0.8B")