Fix: Treat zero scores as valid results, not missing categories

A score of 0.0 is a legitimate evaluation result (e.g., qwen-3-coder's
commit0 score). Previously, entries with any 0.0 score were incorrectly
marked as 'incomplete' because the code treated 0.0 the same as missing.

This fix ensures that only truly missing values (NA/None) are considered
incomplete, while 0.0 scores are counted as attempted categories.

Co-authored-by: openhands <openhands@all-hands.dev>

leaderboard_transformer.py

@@ -345,8 +345,8 @@ class DataTransformer:
                 count = 0
                 for category in main_categories:
                     value = row.get(f"{category} Score")
-                    # Handle pd.NA, None, and 0.0 properly
-                    if pd.notna(value) and value != 0.0:
+                    # A score of 0.0 is a valid result - only exclude truly missing values
+                    if pd.notna(value):
                         count += 1
                 return f"{count}/5"