| | --- |
| | license: mit |
| | language: |
| | - en |
| | task_categories: |
| | - question-answering |
| | size_categories: |
| | - n<1K |
| | pretty_name: Brainteaser |
| | --- |
| | |
| | # The Brainteaser dataset |
| |
|
| | [](https://arxiv.org/abs/2505.10844) |
| | [](https://openreview.net/forum?id=3oQDkmW72a) |
| | [](https://openreview.net/pdf?id=3oQDkmW72a) |
| | [](https://huggingface.co/datasets/ChenLiu1996/Brainteaser) |
| | [](https://github.com/stephenxia1/brainteasers/) |
| |
|
| | This is a dataset concurrently released with our paper |
| |
|
| | [**Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models**](https://arxiv.org/abs/2505.10844), NeurIPS 2025. |
| |
|
| | [<img src="https://chenliu-1996.github.io/assets/brainteaser_title.png" width="60%"/>](https://arxiv.org/pdf/2505.10844) |
| |
|
| |
|
| | ## Citation |
| | If you use this dataset, please cite our paper: |
| | ```bibtex |
| | @article{han2025creativity, |
| | title={Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models}, |
| | author={Han, Simeng and Dai, Howard and Xia, Stephen and Zhang, Grant and Liu, Chen and Chen, Lichang and Nguyen, Hoang Huy and Mei, Hongyuan and Mao, Jiayuan and McCoy, R. Thomas}, |
| | journal={Advances in neural information processing systems}, |
| | year={2025} |
| | } |
| | ``` |
| |
|
| | ## Highlights |
| |
|
| | 1. We introduce a **novel benchmark dataset**, BRAINTEASER, which uses brainteasers to evaluate the **reasoning abilities of LLMs**. |
| |
|
| | 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. |
| |
|
| | 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**. |
| |
|
| | 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. |
| |
|
| | 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. |
| |
|
| | 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. |
| |
|
| | 7. The same annotators **assigned cateogries and subcategories** to all puzzles (see Table 1). |
| |
|
| |
|
| | ## Dataset composition |
| |
|
| | <img src="https://chenliu-1996.github.io/assets/brainteaser_table1.png" width="75%"/> |
| |
|
| | ## Main observations |
| | <img src="https://chenliu-1996.github.io/assets/brainteaser_figure1.png" width="75%"/> |
| |
|
| | ## Creativity vs. Brute Force |
| | <img src="https://chenliu-1996.github.io/assets/brainteaser_figure2.png" width="75%"/> |
