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--- |
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license: cc-by-nc-sa-4.0 |
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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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configs: |
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- config_name: train |
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data_files: |
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- split: 2ppl |
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path: |
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- train/people2_num200.jsonl |
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- split: 3ppl |
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path: |
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- train/people3_num1000.jsonl |
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- split: 4ppl |
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path: |
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- train/people4_num1000.jsonl |
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- split: 5ppl |
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path: |
|
- train/people5_num1000.jsonl |
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- split: 6ppl |
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path: |
|
- train/people6_num1000.jsonl |
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- split: 7ppl |
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path: |
|
- train/people7_num1000.jsonl |
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- split: 8ppl |
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path: |
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- train/people8_num1000.jsonl |
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- config_name: test |
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data_files: |
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- split: 2ppl |
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path: |
|
- test/people2_num100.jsonl |
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- split: 3ppl |
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path: |
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- test/people3_num100.jsonl |
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- split: 4ppl |
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path: |
|
- test/people4_num100.jsonl |
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- split: 5ppl |
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path: |
|
- test/people5_num100.jsonl |
|
- split: 6ppl |
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path: |
|
- test/people6_num100.jsonl |
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- split: 7ppl |
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path: |
|
- test/people7_num100.jsonl |
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- split: 8ppl |
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path: |
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- test/people8_num100.jsonl |
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tags: |
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- logical |
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- reasoning |
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pretty_name: K |
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size_categories: |
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- 1K<n<10K |
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--- |
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# 📘 knights-and-knaves Dataset [[Project Page]](https://memkklogic.github.io/) |
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The **knights-and-knaves dataset** serves as a logical reasoning benchmark to evaluate the reasoning capabilities of LLMs. |
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**🚀🚀 Check out the [perturbed knights-and-knaves dataset](https://huggingface.co/datasets/K-and-K/perturbed-knights-and-knaves) to evaluate the memorization of LLMs in reasoning.** |
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## Loading the dataset |
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To load the dataset: |
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```python |
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from datasets import load_dataset |
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data_subject = load_dataset('K-and-K/knights-and-knaves','test',split="2ppl") |
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``` |
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* Available subset: `test`, `train`. |
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* Available split: `2ppl`,`3ppl`,`4ppl`,`5ppl`,`6ppl`,`7ppl`,`8ppl`. |
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## 🛠️ Codebase |
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To evaluate LLMs on our datasets, visit our [GitHub repository](https://github.com/AlphaPav/mem-kk-logic/). |
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## ⭐ Citing our Work |
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If you find our codebase and datasets beneficial, kindly cite our work: |
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```bibtex |
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@article{xie2024memorization, |
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title={On Memorization of Large Language Models in Logical Reasoning}, |
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author={Chulin Xie and Yangsibo Huang and Chiyuan Zhang and Da Yu and Xinyun Chen and Bill Yuchen Lin and Bo Li and Badih Ghazi and Ravi Kumar}, |
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year={2024}, |
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eprint={2410.23123}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2410.23123}, |
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} |
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``` |
