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import streamlit as st
import pandas as pd
from utils.style import style_long_context
@st.cache_data
def load_data():
return pd.read_csv("data/long_context.csv")
def show():
st.title("Long Context Leaderboard")
# Load and style data
df = load_data()
styled_df = style_long_context(df)
# Display the dataframe with built-in sort on column click
st.dataframe(
styled_df,
use_container_width=True,
height=600,
hide_index=True,
column_config={
"Model": st.column_config.TextColumn(width="large"),
"8K": st.column_config.NumberColumn(format="%.2f"),
"16K": st.column_config.NumberColumn(format="%.2f"),
"32K": st.column_config.NumberColumn(format="%.2f"),
"Average↑": st.column_config.NumberColumn(
format="%.2f",
help="Average across all context lengths"
)
}
)
# Optionally, keep some explanatory text
st.markdown("""
**Context Lengths**:
- 8K: 8,000 tokens
- 16K: 16,000 tokens
- 32K: 32,000 tokens
**Benchmark Details**:
- Evaluated on Symbolic, Medium, and Hard subtasks
- AUC scores aggregated across context lengths
- Larger context evaluations limited by compute constraints and model performance
""") |