update

app.py

@@ -13,7 +13,7 @@ with demo:
     gr.HTML("<h1 align='center' id='space-title'>IMG2GPS Student Leaderboard</h1>")
     gr.Markdown(
         "Upload your PyTorch checkpoint (.pt), `model.py`, and `preprocess.py` to evaluate on the shared dataset. "
-        "We keep the highest accuracy per Group ID. A separate Leaderboard tab shows best-per-group results and stats.",
+        "A separate Leaderboard tab shows best-per-alias results and stats.",
         elem_classes="markdown-text",
     )
 

src/leaderboard/student_results.py

@@ -74,6 +74,9 @@ def get_student_leaderboard_df(dataset_name: Optional[str] = None) -> Tuple[pd.D
     display_cols = ["alias"] + [c for c in best_df.columns if c not in ["alias", "group_id"]]
     best_df = best_df[display_cols]
 
+    # Capitalize header for display
+    best_df = best_df.rename(columns={"alias": "Alias"})
+
     return best_df, stats
 
 

src/submission/student_queue.py

@@ -40,11 +40,12 @@ def queue_student_submission(
 
     # Prepare a small request.json metadata
     request_json = {
+        "proj": 1,
         "group_id": group_id,
         "alias": alias,
         "timestamp": ts,
         "status": "PENDING",
-        "datasets": ["url_val", "url_val16k"],
+        "datasets": ["img_val", "img_val_hid"],
         "has_weights": bool(state_dict_file),
     }