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docs: update readme

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@@ -56,7 +56,7 @@ task_ids:
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  - **Repository:** https://github.com/nala-cub/prost
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  - **Paper:**
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  - **Leaderboard:**
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- - **Point of Contact:** [Stéphane Aroca-Ouellette](mailto:stephane.aroca-ouellette@colorado.edu), [Cory Paik](mailto:cory.paik@colorado.edu)
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  ### Dataset Summary
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  *Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.
@@ -99,8 +99,7 @@ An example looks like this:
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  - `question`: A cloze style continuation of the context.
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  - `ex_question`: A multiple-choice style question.
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  - `group`: The question group, e.g. *bouncing*
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- - `label`: A ClassLabel indication the correct option
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- - `example_idx`: an integer indicating the sorted example index.
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  - `name':` The template identifier.
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  ### Data Splits
 
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  - **Repository:** https://github.com/nala-cub/prost
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  - **Paper:**
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  - **Leaderboard:**
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+ - **Point of Contact:** [Stéphane Aroca-Ouellette](mailto:stephane.aroca-ouellette@colorado.edu)
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  ### Dataset Summary
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  *Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.
 
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  - `question`: A cloze style continuation of the context.
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  - `ex_question`: A multiple-choice style question.
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  - `group`: The question group, e.g. *bouncing*
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+ - `label`: A ClassLabel indication the correct option
 
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  - `name':` The template identifier.
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  ### Data Splits