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--- |
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license: mit |
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language: |
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- en |
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task_categories: |
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- question-answering |
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size_categories: |
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- 100K<n<1M |
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pretty_name: Brainteaser |
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--- |
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# The Brainteaser dataset |
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This is a dataset concurrently released with our **NeurIPS 2025 paper** [[Code]](https://github.com/stephenxia1/brainteasers). |
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[<img src="https://chenliu-1996.github.io/assets/brainteaser_title.png" width="60%"/>](https://arxiv.org/pdf/2505.10844) |
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## Citation |
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If you use this dataset, please cite our paper: |
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``` |
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@article{han2025creativity, |
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title={Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models}, |
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author={Han, Simeng and Xia, Stephen and Zhang, Grant and Dai, Howard and Liu, Chen and Chen, Lichang and Nguyen, Hoang Huy and Mei, Hongyuan and Mao, Jiayuan and McCoy, R. Thomas}, |
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journal={Advances in neural information processing systems}, |
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year={2025} |
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} |
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``` |
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## Highlights |
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1. We introduce a **novel benchmark dataset**, BRAINTEASER, which uses brainteasers to evaluate the **reasoning abilities of LLMs**. |
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2. The Math and Logic datasets were curated by scraping problem-solving and reasoning questions from the [Braingle](https://www.braingle.com/brainteasers/All.html) website, an online platform of puzzles and brain teasers. |
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3. Authored by **expert problem solvers**, BRAINTEASER features diverse puzzle styles and complexities, aiming to **isolate models’ reasoning abilities rather than their memorization of formulas**. |
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4. BRAINTEASER is exclusively centered on **mathematical and logical puzzles**, all authored by expert problem solvers with demonstrated proficiency across a wide range of puzzle types. |
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5. As **quality control**, we conducted one round of **manual inspection** of all problems in BRAINTEASER done by college students who belong to a math club; these students have extensive experience in solving competition-level math problems. |
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6. During manual inspection, low-quality and ambiguously described problems were removed, leaving 242 Math and 236 Logic problems in the dataset. The same annotators also **manually created hints** for problems that originally lacked them. |
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7. The same annotators **assigned cateogries and subcategories** to all puzzles (see Table 1). |
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## Dataset composition |
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<img src="https://chenliu-1996.github.io/assets/brainteaser_table1.png" width="75%"/> |
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## Main observations |
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<img src="https://chenliu-1996.github.io/assets/brainteaser_figure1.png" width="75%"/> |
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## Creativity vs. Brute Force |
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<img src="https://chenliu-1996.github.io/assets/brainteaser_figure2.png" width="75%"/> |
