Jack Monas
commited on
Commit
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d01834d
1
Parent(s):
c2e844a
rules
Browse files
app.py
CHANGED
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@@ -14,7 +14,7 @@ def scoring_layout():
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col1, col2, col3 = st.columns(3)
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with col1:
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st.markdown("### Compression
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st.markdown(
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"""
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- **1st Place**: 10 points
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@@ -24,7 +24,7 @@ def scoring_layout():
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)
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with col2:
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st.markdown("### Sampling
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st.markdown(
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"""
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- **1st Place**: 10 points
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@@ -34,7 +34,7 @@ def scoring_layout():
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)
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with col3:
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st.markdown("### Evaluation
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st.markdown(
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"""
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- **1st Place**: 20 points
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@@ -88,8 +88,12 @@ def main():
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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
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)
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# Sample leaderboard data as a preview
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col1, col2, col3 = st.columns(3)
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with col1:
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st.markdown("### Compression")
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st.markdown(
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"""
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- **1st Place**: 10 points
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)
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with col2:
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st.markdown("### Sampling")
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st.markdown(
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"""
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- **1st Place**: 10 points
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)
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with col3:
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st.markdown("### Evaluation")
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st.markdown(
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"""
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- **1st Place**: 20 points
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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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+
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st.markdown("### Overall Leaderboard")
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st.write(
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"The overall leaderboard, which shows the total points across all challenges, will go live on March 10th. "
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"In addition, each challenge—Compression, Sampling, and Evaluation—will have its own leaderboard on their respective Hugging Face submission servers. "
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"Below is a preview of what the overall leaderboard format might look like:"
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)
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# Sample leaderboard data as a preview
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