update

src/envs.py

@@ -23,3 +23,7 @@ EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")
 EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk")
 
 API = HfApi(token=TOKEN)
+
+# Project scoping (directory names in datasets)
+PROJ_DIR = os.environ.get("PROJ_DIR", "Proj B")
+PROJ_ID = int(os.environ.get("PROJ_ID", "1"))

src/leaderboard/student_results.py

@@ -5,11 +5,11 @@ from typing import Dict, Optional, Tuple
 import numpy as np
 import pandas as pd
 
-from src.envs import EVAL_RESULTS_PATH
+from src.envs import EVAL_RESULTS_PATH, PROJ_DIR
 
 
 def _load_all_attempts() -> pd.DataFrame:
-    attempts_dir = os.path.join(EVAL_RESULTS_PATH, "student_attempts")
+    attempts_dir = os.path.join(EVAL_RESULTS_PATH, PROJ_DIR, "student_attempts")
     if not os.path.isdir(attempts_dir):
         return pd.DataFrame(columns=["group_id", "alias", "timestamp", "dataset", "num_examples", "accuracy", "avg_infer_ms", "total_infer_s"])
     rows = []

src/submission/student_queue.py

@@ -3,7 +3,7 @@ import shutil
 from datetime import datetime, timezone
 from typing import Optional
 
-from src.envs import API, QUEUE_REPO
+from src.envs import API, QUEUE_REPO, PROJ_DIR, PROJ_ID
 
 
 def _file_name(path_or_obj) -> str:
@@ -36,11 +36,12 @@ def queue_student_submission(
     group_id = group_id.strip()
     alias = alias.strip() if isinstance(alias, str) else alias
     ts = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
-    base_path = f"{group_id}/{ts}"
+    folder_name = alias if alias else group_id
+    base_path = f"{PROJ_DIR}/{folder_name}/{ts}"
 
     # Prepare a small request.json metadata
     request_json = {
-        "proj": 0,
+        "proj": PROJ_ID,
         "group_id": group_id,
         "alias": alias,
         "timestamp": ts,