8 datasets found
  1. h

    competition_math

    • huggingface.co
    Updated Jan 29, 2023
    + more versions
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    Michael Vechtomov (2023). competition_math [Dataset]. https://huggingface.co/datasets/qwedsacf/competition_math
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 29, 2023
    Authors
    Michael Vechtomov
    License

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

    Description

    Dataset Card for Mathematics Aptitude Test of Heuristics (MATH) dataset

      Dataset Summary
    

    The Mathematics Aptitude Test of Heuristics (MATH) dataset consists of problems from mathematics competitions, including the AMC 10, AMC 12, AIME, and more. Each problem in MATH has a full step-by-step solution, which can be used to teach models to generate answer derivations and explanations.

      Supported Tasks and Leaderboards
    

    [More Information Needed]

      Languages… See the full description on the dataset page: https://huggingface.co/datasets/qwedsacf/competition_math.
    
  2. h

    competition_math

    • huggingface.co
    Updated Mar 20, 2024
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    Jorin Eggers (2024). competition_math [Dataset]. https://huggingface.co/datasets/jeggers/competition_math
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 20, 2024
    Authors
    Jorin Eggers
    License

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

    Description

    Dataset Card for "competition_math"

    Added column with final solution extracted from \boxed{} tags. Added numeric congig that only contains questions with numeric answers.

      Dataset Summary
    

    MATH contains 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 explanation This dataset card aims to be a base template for new datasets.

      Languages… See the full description on the dataset page: https://huggingface.co/datasets/jeggers/competition_math.
    
  3. h

    competition_math

    • huggingface.co
    Updated May 28, 2025
    + more versions
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    jullajak (2025). competition_math [Dataset]. https://huggingface.co/datasets/MickMick102/competition_math
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    Dataset updated
    May 28, 2025
    Authors
    jullajak
    Description

    MickMick102/competition_math dataset hosted on Hugging Face and contributed by the HF Datasets community

  4. h

    competition_math

    • huggingface.co
    Updated May 28, 2025
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    JTS AI Team (2025). competition_math [Dataset]. https://huggingface.co/datasets/jts-ai-team/competition_math
    Explore at:
    Dataset updated
    May 28, 2025
    Authors
    JTS AI Team
    Description

    jts-ai-team/competition_math dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. h

    MATH

    • huggingface.co
    Updated Dec 3, 2024
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    MATH [Dataset]. https://huggingface.co/datasets/Maxwell-Jia/MATH
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2024
    Authors
    Minghui Jia
    License

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

    Description

    MATH Dataset

    The Mathematics Aptitude Test of Heuristics (MATH) dataset consists of problems from mathematics competitions, including the AMC 10, AMC 12, AIME, and more. Each problem in MATH has a full step-by-step solution, which can be used to teach models to generate answer derivations and explanations. This is a converted version of the hendrycks/competition_math originally created by Hendrycks et al. The dataset has been converted to parquet format for easier loading and usage.… See the full description on the dataset page: https://huggingface.co/datasets/Maxwell-Jia/MATH.

  6. robust-finetuning

    • huggingface.co
    Updated Aug 8, 2024
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    Appier AI Research Team (2024). robust-finetuning [Dataset]. https://huggingface.co/datasets/appier-ai-research/robust-finetuning
    Explore at:
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    Appier Inc.https://www.appier.com/
    Authors
    Appier AI Research Team
    Description

    Please refer to the following source for the original datasets:

    GSM8K: https://huggingface.co/datasets/openai/gsm8k MATH: https://huggingface.co/datasets/hendrycks/competition_math math-resample: In this section we subsample the 1,000 subsample only (yes it's balance)

    HumanEval+: https://huggingface.co/datasets/evalplus/humanevalplus MBPP: https://huggingface.co/datasets/google-research-datasets/mbpp MBPP+: https://huggingface.co/datasets/evalplus/mbppplus ARC Challenge:… See the full description on the dataset page: https://huggingface.co/datasets/appier-ai-research/robust-finetuning.

  7. h

    optillmbench

    • huggingface.co
    Updated Jun 15, 2015
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    Asankhaya Sharma (2015). optillmbench [Dataset]. https://huggingface.co/datasets/codelion/optillmbench
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    Dataset updated
    Jun 15, 2015
    Authors
    Asankhaya Sharma
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    OptiLLMBench Dataset

    A benchmark dataset for evaluating test-time optimization and scaling capabilities of language models.

      Dataset Description
    

    OptiLLMBench contains 500 carefully selected challenging problems across multiple domains:

    Mathematical reasoning (from competition_math) Code generation (from HumanEval) Word problems (from GSM8K) Multiple choice reasoning (from MMLU) Logical deduction (from BBH)

    Each example is chosen to benefit from test-time optimization… See the full description on the dataset page: https://huggingface.co/datasets/codelion/optillmbench.

  8. h

    olympiad_task_translation

    • huggingface.co
    Updated Aug 11, 2024
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    Nikita (2024). olympiad_task_translation [Dataset]. https://huggingface.co/datasets/NMashalov/olympiad_task_translation
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 11, 2024
    Authors
    Nikita
    Description

    Modified with Russiand Translation of hendrycks/competition_math via Llama3

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Michael Vechtomov (2023). competition_math [Dataset]. https://huggingface.co/datasets/qwedsacf/competition_math

competition_math

qwedsacf/competition_math

Mathematics Aptitude Test of Heuristics (MATH)

Explore at:
11 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 29, 2023
Authors
Michael Vechtomov
License

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

Description

Dataset Card for Mathematics Aptitude Test of Heuristics (MATH) dataset

  Dataset Summary

The Mathematics Aptitude Test of Heuristics (MATH) dataset consists of problems from mathematics competitions, including the AMC 10, AMC 12, AIME, and more. Each problem in MATH has a full step-by-step solution, which can be used to teach models to generate answer derivations and explanations.

  Supported Tasks and Leaderboards

[More Information Needed]

  Languages… See the full description on the dataset page: https://huggingface.co/datasets/qwedsacf/competition_math.
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