Clarify overall tables and tracked rank history

src/utils.py

@@ -804,24 +804,27 @@ BASELINE_RANK_HISTORY_COLUMNS = [
 ]
 
 _RANK_COLS = [c for c in BASELINE_RANK_HISTORY_COLUMNS if c.endswith("_Rank")]
-_DAILY_DISPLAY_COLS = ["date"] + _RANK_COLS
-_WEEKLY_DISPLAY_COLS = ["week"] + _RANK_COLS
+_DAILY_DISPLAY_COLS = ["date", "model"] + _RANK_COLS
+_WEEKLY_DISPLAY_COLS = ["week", "model"] + _RANK_COLS
 
 
 def _read_rank_history(path: Path, date_col: str) -> pd.DataFrame:
     """Read a rank history CSV, coerce rank columns to float, sort by date_col."""
     if not path.exists():
-        return pd.DataFrame(columns=[date_col] + _RANK_COLS)
+        return pd.DataFrame(columns=[date_col, "model"] + _RANK_COLS)
     try:
         df = pd.read_csv(path)
     except Exception:
-        return pd.DataFrame(columns=[date_col] + _RANK_COLS)
+        return pd.DataFrame(columns=[date_col, "model"] + _RANK_COLS)
     for col in _RANK_COLS:
         if col in df.columns:
             df[col] = pd.to_numeric(df[col], errors="coerce").map(format_rank_number)
     if date_col in df.columns:
         df = df.sort_values(date_col)
-    present = [c for c in [date_col] + _RANK_COLS if c in df.columns]
+    sort_cols = [c for c in (date_col, "model") if c in df.columns]
+    if sort_cols:
+        df = df.sort_values(sort_cols)
+    present = [c for c in [date_col, "model"] + _RANK_COLS if c in df.columns]
     return df[present].reset_index(drop=True)
 
 
@@ -1014,7 +1017,7 @@ def make_rank_trend_plot(history_df: pd.DataFrame, metrics: list[str] | None = N
         ))
 
     fig.update_layout(
-        title=dict(text="Baseline rank trend over time (lower is better)", font=dict(size=14)),
+        title=dict(text="Tracked model rank trend over time (lower is better)", font=dict(size=14)),
         xaxis_title=date_col.capitalize(),
         yaxis_title="Average rank",
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),