Method B: Use raw data values for layout images (revert log transformation)

Testing whether Plotly handles log transformation automatically for layout
images the same way it does for scatter traces.

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

leaderboard_transformer.py

@@ -570,7 +570,7 @@ def _plot_scatter_plotly(
     ))
     
     # Add company logo images for each data point
-    # Note: For log scale axes, layout images need log10(x) coordinates
+    # Note: With log scale, Plotly layout images use raw data values (same as scatter traces)
     for _, row in data_plot.iterrows():
         model_name = row.get('Language Model', '')
         company_info = get_company_from_model_name(model_name)
@@ -583,23 +583,18 @@ def _plot_scatter_plotly(
                     encoded_logo = base64.b64encode(f.read()).decode('utf-8')
                     logo_uri = f"data:image/svg+xml;base64,{encoded_logo}"
                     
-                    # Get x position - for log scale, use log10 of the value
                     x_val = row[x_col_to_use]
-                    if x_val > 0:
-                        x_pos = np.log10(x_val)
-                    else:
-                        x_pos = -1  # Place at 0.1 on log scale for zero/negative values
                     
-                    # Calculate logo size in log scale units
-                    # On log scale, a fixed size in log units gives consistent visual size
-                    logo_size_x = 0.15  # Size in log10 units
-                    logo_size_y = 2.5   # Fixed y size in data units
+                    # Calculate logo size - use percentage of data range
+                    # For log scale, size is in data units (will be log-scaled by Plotly)
+                    logo_size_x = max_reported_cost * 0.08 if max_reported_cost > 0 else 0.3
+                    logo_size_y = 2.5  # Fixed y size in data units
                     
                     layout_images.append(dict(
                         source=logo_uri,
                         xref="x",
                         yref="y",
-                        x=x_pos,
+                        x=x_val,  # Use raw data value - Plotly handles log transformation
                         y=row[y_col_to_use],
                         sizex=logo_size_x,
                         sizey=logo_size_y,