3 datasets found
  1. P

    MATH Dataset

    • paperswithcode.com
    • opendatalab.com
    • +1more
    Updated Jan 10, 2025
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    Dan Hendrycks; Collin Burns; Saurav Kadavath; Akul Arora; Steven Basart; Eric Tang; Dawn Song; Jacob Steinhardt (2025). MATH Dataset [Dataset]. https://paperswithcode.com/dataset/math
    Explore at:
    Dataset updated
    Jan 10, 2025
    Authors
    Dan Hendrycks; Collin Burns; Saurav Kadavath; Akul Arora; Steven Basart; Eric Tang; Dawn Song; Jacob Steinhardt
    Description

    MATH is a new dataset of 12,500 challenging competition mathematics problems. Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations.

  2. MATH

    • huggingface.co
    Updated Oct 16, 2024
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    Hugging Face Smol Models Research (2024). MATH [Dataset]. https://huggingface.co/datasets/HuggingFaceTB/MATH
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Hugging Facehttps://huggingface.co/
    Authors
    Hugging Face Smol Models Research
    Description

    MATH is a dataset of 12,500 challenging competition mathematics problems. Each problem in Math has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations.

  3. h

    hendrycks_math

    • huggingface.co
    Updated Feb 24, 2025
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    Baber Abbasi (2025). hendrycks_math [Dataset]. https://huggingface.co/datasets/baber/hendrycks_math
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 24, 2025
    Authors
    Baber Abbasi
    License

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

    Description

    MATH is a dataset of 12,500 challenging competition mathematics problems. Each problem in Math has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Dan Hendrycks; Collin Burns; Saurav Kadavath; Akul Arora; Steven Basart; Eric Tang; Dawn Song; Jacob Steinhardt (2025). MATH Dataset [Dataset]. https://paperswithcode.com/dataset/math

MATH Dataset

Explore at:
Dataset updated
Jan 10, 2025
Authors
Dan Hendrycks; Collin Burns; Saurav Kadavath; Akul Arora; Steven Basart; Eric Tang; Dawn Song; Jacob Steinhardt
Description

MATH is a new dataset of 12,500 challenging competition mathematics problems. Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations.

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