Datasets:
docs: update readme
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README.md
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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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- `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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| 58 |
- **Leaderboard:**
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| 59 |
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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
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