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  configs:
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  - config_name: default
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  data_files:
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  ---
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  # Dataset Card for "competition_math"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: mit
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ pretty_name: MATH
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+ size_categories:
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+ - 10K<n<100K
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  configs:
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  - config_name: default
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  data_files:
 
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  ---
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  # Dataset Card for "competition_math"
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+ Added column with final solution extracted from \boxed{} tags.
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+ ## Dataset Description
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+ - **Homepage:** https://github.com/hendrycks/math/blob/main/README.md
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+ - **Repository:** https://github.com/hendrycks/math
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+ - **Paper:** https://arxiv.org/abs/2103.03874
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+
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+ ### Dataset Summary
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+ 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
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+ This dataset card aims to be a base template for new datasets.
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+ ### Languages
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+ [English]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+ 7 sub-datasets
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+
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+ ### Data Splits
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+ training: 7500
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+ test: 5000
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+
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+
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+ ## Additional Information
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+ ### Licensing Information
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+ MIT but check the [Legal Compliance](https://arxiv.org/pdf/2103.03874.pdf) section in appendix B of the paper as well as the [repo](https://github.com/hendrycks/math/blob/main/LICENSE).
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+
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+ ### Citation Information
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+ @article{hendrycksmath2021,
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+ title={Measuring Mathematical Problem Solving With the MATH Dataset},
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+ author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt},
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+ journal={NeurIPS},
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+ year={2021}
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+ }