metadata

language:
  - en
license: mit
size_categories:
  - 10K<n<100K
task_categories:
  - text-generation
pretty_name: MATH
configs:
  - config_name: numeric
    data_files:
      - split: train
        path: numeric/train-*
      - split: test
        path: numeric/test-*
  - config_name: original
    data_files:
      - split: train
        path: original/train-*
      - split: test
        path: original/test-*
dataset_info:
  - config_name: default
    features:
      - name: problem
        dtype: string
      - name: level
        dtype: string
      - name: type
        dtype: string
      - name: solution
        dtype: string
      - name: extracted_solution
        dtype: string
    splits:
      - name: train
        num_bytes: 6062403
        num_examples: 7500
      - name: test
        num_bytes: 3783919
        num_examples: 5000
    download_size: 4921628
    dataset_size: 9846322
  - config_name: numeric
    features:
      - name: problem
        dtype: string
      - name: level
        dtype: string
      - name: type
        dtype: string
      - name: solution
        dtype: string
      - name: extracted_solution
        dtype: float64
    splits:
      - name: train
        num_bytes: 3712169
        num_examples: 4866
      - name: test
        num_bytes: 2229985
        num_examples: 3199
    download_size: 3035498
    dataset_size: 5942154
  - config_name: original
    features:
      - name: problem
        dtype: string
      - name: level
        dtype: string
      - name: type
        dtype: string
      - name: solution
        dtype: string
      - name: extracted_solution
        dtype: string
    splits:
      - name: train
        num_bytes: 6062403
        num_examples: 7500
      - name: test
        num_bytes: 3783919
        num_examples: 5000
    download_size: 4921628
    dataset_size: 9846322

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 Description

Homepage: https://github.com/hendrycks/math/blob/main/README.md
Repository: https://github.com/hendrycks/math
Paper: https://arxiv.org/abs/2103.03874

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

[English]

Dataset Structure

Data Instances

7 sub-datasets

Data Splits

training: 7500 test: 5000

Additional Information

Licensing Information

MIT but check the Legal Compliance section in appendix B of the paper as well as the repo.

Citation Information

@article{hendrycksmath2021, title={Measuring Mathematical Problem Solving With the MATH Dataset}, author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt}, journal={NeurIPS}, year={2021} }