Spaces:
Running
Running
Yotam Perlitz
commited on
Commit
β’
ecb1e20
1
Parent(s):
3574021
Add application file
Browse files
app.py
ADDED
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import streamlit as st
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import pandas as pd
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st.title("βββ ββ β β β β β βποΈββοΈ benchbench-Leaderboard ποΈββοΈ")
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# df = pd.read_csv("BAT_w_arena_10_random.csv")
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# df = (
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# (
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# df.rename(
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# columns={
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# "z_score": "Z_Score",
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# "benchmark": "Benchmark",
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# }
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# ).drop(
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# columns=[
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# "Unnamed: 0",
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# "z_test_pass",
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# ]
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# )
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# )
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# .sort_values("Z_Score", ascending=False)
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# .query(
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# 'Benchmark!="Aggregate" and Benchmark!="MAGI" and Benchmark!="Alpaca(v2, len adj)" and Benchmark!="GPT4All"'
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# )
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# )
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# df.replace(
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# {
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# "Arena Elo": "LMSys Arena",
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# "Hugging-6": "HF OpenLLM",
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# "Alpaca(v2)": "Alpaca v2",
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# "Alpaca(v1)": "Alpaca v1",
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# "EQ-Bench(v2)": "EQ-Bench v2",
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# },
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# inplace=True,
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# )
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# col1, col2, col3 = st.columns(3)
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# with col1:
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# st.header("β β β β β β β β Agree")
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# st.dataframe(df.query("Z_Score>=0"), hide_index=True)
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# with col2:
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# st.header("β ββ β Disagree")
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# st.dataframe(df.query("Z_Score<0").sort_values("Z_Score"), hide_index=True)
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# with col3:
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# st.header("β ββ β Configs")
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# # st.selectbox(label="Reference Benchmarks", options=["LMSys Arena"])
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# options = st.multiselect(
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# "Reference Benchmarks",
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# ["LMSys Arena", "Open Compass", "Yellow", "Red", "Blue"],
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# ["LMSys Arena", "Open Compass"],
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# )
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# st.selectbox(label="# models compared", options=[20])
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# st.selectbox(label="Model Select Strategy", options=["Random"])
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# st.write("βββββββ")
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# st.button("Upload a new benchmark")
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