third

app.py

@@ -1,28 +1,21 @@
 import streamlit as st
 import pandas as pd
 
-# Set page configuration
 st.set_page_config(page_title="Cyber Benchmark Hub: SECQA Leaderboard", layout="wide")
 
-# Main Title
 st.title("Cyber Benchmark Hub: SECQA Leaderboard")
 st.markdown("#### [View the SECQA Dataset](https://huggingface.co/datasets/zefang-liu/secqa)")
 
-# Sidebar: Logo and Website Link
 with st.sidebar:
     st.image("https://cdn.prod.website-files.com/630f558f2a15ca1e88a2f774/631f1436ad7a0605fecc5e15_Logo.svg", use_container_width=True)
     st.markdown("[Priam.ai](https://www.priam.ai/)")
     st.divider()
     
-    # Top-level: Dataset Category
-    dataset_categories = ["Multiple Choice", "Open Question", "Steps (Reasoning)"]
+    dataset_categories = ["Multiple Choice"]
     selected_category = st.selectbox("Select Dataset Category", dataset_categories, index=0)
     
-    # Filter dataset options based on category
     datasets_by_category = {
         "Multiple Choice": ["secQA"],
-        "Open Question": ["Testing..."],
-        "Steps (Reasoning)": ["Testing..."]
     }
     dataset_choice = st.selectbox("Select Dataset", datasets_by_category[selected_category], index=0)
     
@@ -89,16 +82,19 @@ df_filtered = df[df["Type"].isin(source_filter)] if source_filter else df
 df_filtered["Accuracy"] = df_filtered["V1 Accuracy"] if dataset_version == "v1" else df_filtered["V2 Accuracy"]
 df_filtered = df_filtered[["Model", "Type", "Accuracy"]].dropna()  # Drop rows with errors
 
-# Sort by Accuracy descending and add a Rank column starting from 1
+# Sort by Accuracy descending
 df_filtered = df_filtered.sort_values("Accuracy", ascending=False).reset_index(drop=True)
-df_filtered.insert(0, "Rank", range(1, len(df_filtered) + 1))
+
+# Compute dense ranking so that models with equal accuracy share the same rank
+df_filtered['Rank'] = df_filtered['Accuracy'].rank(method='dense', ascending=False).astype(int)
+df_filtered = df_filtered[['Rank', 'Model', 'Type', 'Accuracy']]
 
 # Use columns to display leaderboard and model details side-by-side
 col1, col2 = st.columns([2, 1])
 
 with col1:
     st.subheader(f"Leaderboard for {dataset_choice.upper()} Version {dataset_version}")
-    st.dataframe(df_filtered.reset_index(drop=True))
+    st.dataframe(df_filtered.style.hide(axis='index'))
 
 with col2:
     st.subheader("Model Details")