1 dataset found
  1. Elementary School Math Problems (Hard)

    • kaggle.com
    Updated Jun 11, 2024
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    Chagin (2024). Elementary School Math Problems (Hard) [Dataset]. https://www.kaggle.com/datasets/chayanonc/gsm-hard-elementary-school-math-problems
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    Kaggle
    Authors
    Chagin
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Description 📄

    A diverse set of grade-school math problems aiming to evaluate and improve the mathematical reasoning abilities of language models. This dataset is a more challenging variant of the GSM8K. It was modified by substituting the numbers with larger, less frequently encountered values.

    The Data 💬

    • Format: DataFrame with following features

    • Input: (Text) Math question

      Henry made two stops during his 60-mile bike trip. He first stopped after 20 miles. His second stop was 15 miles before the end of the trip. How many miles did he travel between his first and second stops?

    • Target: (Number) The answer to the corresponding question

      25

    Use case 🤖

    • Math reasoning: Train your model to solve various math problems.

    Don't know where to start? 🤔

    Get start with our introduction notebook, where we utilize GPT (Generative-Pretrained-Transformers) and PAL (program-aided language models) to solve math problems step-by-step!!

    HAPPY KAGGLING !!

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Chagin (2024). Elementary School Math Problems (Hard) [Dataset]. https://www.kaggle.com/datasets/chayanonc/gsm-hard-elementary-school-math-problems
Organization logo

Elementary School Math Problems (Hard)

A dataset of grade school math problems for math reasoning with LLM

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 11, 2024
Dataset provided by
Kaggle
Authors
Chagin
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Description 📄

A diverse set of grade-school math problems aiming to evaluate and improve the mathematical reasoning abilities of language models. This dataset is a more challenging variant of the GSM8K. It was modified by substituting the numbers with larger, less frequently encountered values.

The Data 💬

  • Format: DataFrame with following features

  • Input: (Text) Math question

    Henry made two stops during his 60-mile bike trip. He first stopped after 20 miles. His second stop was 15 miles before the end of the trip. How many miles did he travel between his first and second stops?

  • Target: (Number) The answer to the corresponding question

    25

Use case 🤖

  • Math reasoning: Train your model to solve various math problems.

Don't know where to start? 🤔

Get start with our introduction notebook, where we utilize GPT (Generative-Pretrained-Transformers) and PAL (program-aided language models) to solve math problems step-by-step!!

HAPPY KAGGLING !!

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