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README.md
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---
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Paper: 2501.13766
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license: gpl-3.0
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dataset_info:
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configs:
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- config_name: Abstract_algebra
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data_files:
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- split: test
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path: data/Abstract_algebra.json
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- config_name: Arithmetic
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data_files:
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- split: test
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path: data/Arithmetic.json
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- config_name: Calculus_-_single_variable
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data_files:
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- split: test
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path: data/Calculus_-_single_variable.json
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- config_name: Complex_analysis
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data_files:
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- split: test
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path: data/Complex_analysis.json
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- config_name: Financial_mathematics
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data_files:
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- split: test
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path: data/Financial_mathematics.json
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- config_name: Linear_algebra
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data_files:
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- split: test
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path: data/Linear_algebra.json
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- config_name: Probability
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data_files:
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- split: test
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path: data/Probability.json
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- config_name: Statistics
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data_files:
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- split: test
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path: data/Statistics.json
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- config_name: Algebra
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data_files:
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- split: test
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path: data/Algebra.json
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- config_name: Calculus_-_multivariable
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data_files:
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- split: test
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path: data/Calculus_-_multivariable.json
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- config_name: Combinatorics
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data_files:
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- split: test
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path: data/Combinatorics.json
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- config_name: Differential_equations
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data_files:
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- split: test
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path: data/Differential_equations.json
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- config_name: Geometry
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data_files:
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- split: test
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path: data/Geometry.json
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- config_name: Number_theory
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data_files:
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- split: test
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path: data/Number_theory.json
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- config_name: Set_theory_and_logic
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data_files:
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- split: test
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path: data/Set_theory_and_logic.json
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- config_name: Trigonometry
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data_files:
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- split: test
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path: data/Trigonometry.json
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task_categories:
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- question-answering
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language:
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- en
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pretty_name: UGMathBench
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size_categories:
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- 10K<n<100K
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tags:
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- text
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- math
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- LLMs
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---
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# UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
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**UGMathBench** is a diverse and dynamic benchmark specifically designed for evaluating undergraduate-level mathematical reasoning with LLMs.
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UGMathBench comprises 5,062 problems across 16 subjects and 111 topics, featuring 10 distinct answer types.
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Each problem includes three randomized versions.
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# An Example to load the data
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```python
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from datasets import load_dataset
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dataset=load_dataset("UGMathBench/ugmathbench", "Trigonometry", split="test")
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print(dataset[0])
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```
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More details on loading and using the data are on our [GitHub page](https://github.com/YangLabHKUST/UGMathBench.git).
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If you do find our code helpful or use our benchmark dataset, please cite our paper.
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```
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@article{xu2025ugmathbench,
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title={UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models},
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author={Xu, Xin and Zhang, Jiaxin and Chen, Tianhao and Chao, Zitong and Hu, Jishan and Yang, Can},
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journal={arXiv preprint arXiv:2501.13766},
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year={2025}
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}
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```
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