Jack Monas
commited on
Commit
·
c2e844a
1
Parent(s):
29924b3
rules
Browse files
app.py
CHANGED
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@@ -1,5 +1,58 @@
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import streamlit as st
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import pandas as pd
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def main():
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st.set_page_config(page_title="World Model Challenge")
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@@ -34,27 +87,7 @@ def main():
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st.write(
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"The Evaluation Challenge tackles the ultimate question: Can you predict a robot's performance in the real world without physically deploying it? In this challenge, you will be provided with many different policies for a specific task. Your task is to rank these policies according to their expected real-world performance. This ranking will be compared with the actual ranking of the policies."
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)
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st.markdown("### Scoring")
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st.write(
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"Our scoring system rewards strong performance across all challenges, with extra weight given to the Evaluation Challenge. "
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"The breakdown is as follows:\n\n"
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"**Compression Challenge**\n"
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"- 1st Place: 10 points\n"
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"- 2nd Place: 7 points\n"
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"- 3rd Place: 5 points\n\n"
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"**Sampling Challenge**\n"
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"- 1st Place: 10 points\n"
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"- 2nd Place: 7 points\n"
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"- 3rd Place: 5 points\n\n"
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"**Evaluation Challenge**\n"
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"- 1st Place: 20 points\n"
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"- 2nd Place: 14 points\n"
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"- 3rd Place: 10 points\n\n"
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"The overall winner will be the team with the highest total points. In the event of a tie, the following tie-breakers will be applied in order:\n\n"
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"1. Highest Evaluation Challenge score\n"
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"2. Highest Sampling Challenge score\n\n"
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)
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st.write(
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"The overall leaderboard, which displays the total points accumulated across all challenges, will be launched on March 10th. Below is a preview of the leaderboard format:"
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)
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import streamlit as st
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import pandas as pd
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def scoring_layout():
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st.markdown("## Scoring")
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st.write(
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"Our scoring system rewards strong performance across all challenges, with extra weight "
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"given to the Evaluation Challenge. The breakdown is as follows:"
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)
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# Create three columns for a more interesting layout
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col1, col2, col3 = st.columns(3)
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with col1:
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st.markdown("### Compression Challenge")
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st.markdown(
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"""
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- **1st Place**: 10 points
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- **2nd Place**: 7 points
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- **3rd Place**: 5 points
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"""
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)
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with col2:
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st.markdown("### Sampling Challenge")
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st.markdown(
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"""
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- **1st Place**: 10 points
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- **2nd Place**: 7 points
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- **3rd Place**: 5 points
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"""
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)
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with col3:
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st.markdown("### Evaluation Challenge")
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st.markdown(
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"""
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- **1st Place**: 20 points
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- **2nd Place**: 14 points
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- **3rd Place**: 10 points
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"""
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)
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st.markdown("---")
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st.markdown("### Tie-Breakers")
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st.write(
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"The overall winner will be the team with the highest total points. "
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"In the event of a tie, the following tie-breakers will be applied in order:\n\n"
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"1. Highest Evaluation Challenge score\n"
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"2. Highest Sampling Challenge score\n\n"
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"If teams remain tied after these two criteria, a panel review will determine the final ranking."
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)
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def main():
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st.set_page_config(page_title="World Model Challenge")
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st.write(
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"The Evaluation Challenge tackles the ultimate question: Can you predict a robot's performance in the real world without physically deploying it? In this challenge, you will be provided with many different policies for a specific task. Your task is to rank these policies according to their expected real-world performance. This ranking will be compared with the actual ranking of the policies."
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)
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scoring_layout()
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st.write(
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"The overall leaderboard, which displays the total points accumulated across all challenges, will be launched on March 10th. Below is a preview of the leaderboard format:"
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)
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