Jack Monas commited on
Commit
8a2f0fa
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1 Parent(s): d6cc5ea
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -87,8 +87,7 @@ def scoring_section():
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  # Intro text
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  st.write(
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- "We weight performance across all three challenges, placing additional emphasis on the Evaluation Challenge. "
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- "Each team's final rank is determined by the total points they accumulate from Compression, Sampling, and Evaluation."
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  )
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  # Points Breakdown in a table
@@ -177,7 +176,7 @@ def main():
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  st.markdown("## The Challenges")
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  st.write(
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- "To accelerate reseach in this area, we've launched the 1X World Model Challenge. In this competition, your tasks will be center around predicting future first-person observations of the [EVE Android](https://www.1x.tech/eve) with the ultimate goal of solving policy evaluation."
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  )
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  st.markdown("#### Compression Challenge")
@@ -202,7 +201,7 @@ def main():
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  st.markdown("## Datasets")
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  st.write(
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- "We provide two datasets to support the 1X World Model Challenge:\n\n"
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  "**Raw Data:** The [world_model_raw_data](https://huggingface.co/datasets/1x-technologies/world_model_raw_data) dataset "
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  "provides raw sensor data, video logs, and annotated robot state sequences gathered from diverse real-world scenarios. "
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  "This dataset is split into 100 shards—each containing a 512x512 MP4 video, a segment index mapping, and state arrays—"
 
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  # Intro text
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  st.write(
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+ "Scores combine points from all three challenges, with higher weight on Evaluation. Final rankings are based on total points."
 
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  )
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  # Points Breakdown in a table
 
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  st.markdown("## The Challenges")
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  st.write(
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+ "The 1X World Model Challenge involves predicting future first-person observations of the [EVE Android](https://www.1x.tech/eve) with the ultimate goal of solving policy evaluation."
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  )
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  st.markdown("#### Compression Challenge")
 
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  st.markdown("## Datasets")
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  st.write(
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+ "We provide two datasets for the challenge:\n\n"
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  "**Raw Data:** The [world_model_raw_data](https://huggingface.co/datasets/1x-technologies/world_model_raw_data) dataset "
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  "provides raw sensor data, video logs, and annotated robot state sequences gathered from diverse real-world scenarios. "
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  "This dataset is split into 100 shards—each containing a 512x512 MP4 video, a segment index mapping, and state arrays—"