README.md

metadata

language:
  - en
license: gpl-3.0
size_categories:
  - 10K<n<100K
task_categories:
  - question-answering
pretty_name: UGMathBench
Paper: 2501.13766
configs:
  - config_name: Abstract_algebra
    data_files:
      - split: test
        path: data/Abstract_algebra.json
  - config_name: Arithmetic
    data_files:
      - split: test
        path: data/Arithmetic.json
  - config_name: Calculus_-_single_variable
    data_files:
      - split: test
        path: data/Calculus_-_single_variable.json
  - config_name: Complex_analysis
    data_files:
      - split: test
        path: data/Complex_analysis.json
  - config_name: Financial_mathematics
    data_files:
      - split: test
        path: data/Financial_mathematics.json
  - config_name: Linear_algebra
    data_files:
      - split: test
        path: data/Linear_algebra.json
  - config_name: Probability
    data_files:
      - split: test
        path: data/Probability.json
  - config_name: Statistics
    data_files:
      - split: test
        path: data/Statistics.json
  - config_name: Algebra
    data_files:
      - split: test
        path: data/Algebra.json
  - config_name: Calculus_-_multivariable
    data_files:
      - split: test
        path: data/Calculus_-_multivariable.json
  - config_name: Combinatorics
    data_files:
      - split: test
        path: data/Combinatorics.json
  - config_name: Differential_equations
    data_files:
      - split: test
        path: data/Differential_equations.json
  - config_name: Geometry
    data_files:
      - split: test
        path: data/Geometry.json
  - config_name: Number_theory
    data_files:
      - split: test
        path: data/Number_theory.json
  - config_name: Set_theory_and_logic
    data_files:
      - split: test
        path: data/Set_theory_and_logic.json
  - config_name: Trigonometry
    data_files:
      - split: test
        path: data/Trigonometry.json
tags:
  - text
  - math
  - LLMs

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models

UGMathBench is a diverse and dynamic benchmark specifically designed for evaluating undergraduate-level mathematical reasoning with LLMs. UGMathBench comprises 5,062 problems across 16 subjects and 111 topics, featuring 10 distinct answer types. Each problem includes three randomized versions.

Paper: https://huggingface.co./papers/2501.13766 GitHub page: https://github.com/YangLabHKUST/UGMathBench.git

An Example to load the data

from datasets import load_dataset
dataset=load_dataset("UGMathBench/ugmathbench", "Trigonometry", split="test")

print(dataset[0])

More details on loading and using the data are on our GitHub page.

If you do find our code helpful or use our benchmark dataset, please cite our paper.

@article{xu2025ugmathbench,
  title={UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models},
  author={Xu, Xin and Zhang, Jiaxin and Chen, Tianhao and Chao, Zitong and Hu, Jishan and Yang, Can},
  journal={arXiv preprint arXiv:2501.13766},
  year={2025}
}