jkhouja commited on
Commit
6bb2e8e
·
verified ·
1 Parent(s): eaf634d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -42,14 +42,14 @@ extra_gated_button_content: Submit
42
 
43
  ## Links
44
  - 📊 [Website and Leaderboard](https://huggingface.co/spaces/jkhouja/lingoly-too)
45
- - Paper (coming soon)
46
  - 🧩 [Repo](https://github.com/jkhouja/L2)
47
 
48
  ## Summary
49
- LingOly-TOO (L2) is a challenging reasoning benchmark designed to minimize the chance of answering by guessing. It is developed by rewriting (obfuscating) parts of questions and answers so that the chance of leakage in training data is minimum.
50
 
51
  ## Dataset format
52
- LingOly-TOO benchmark was created by generating up to 6 obfuscations per problem for 82 problems source from original LingOly benchmark.
53
 
54
  ```python
55
  {'question_n': # The question number in the problem
@@ -65,14 +65,14 @@ LingOly-TOO benchmark was created by generating up to 6 obfuscations per problem
65
 
66
  ## Citation
67
  ```
68
- @article{khouja2025lingolytoo,
69
  title={LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation},
70
- author={Khouja, Jude and Korgul, Karolina and Hellsten, Simeon and Yang, Lingyi and Neacșu, Vlad A. and Mayne, Harry and Kearns, Ryan O. and Bean, Andrew M. and Mahdi, Adam},
71
  year={2025},
72
- eprint=,
73
  archivePrefix={arXiv},
74
  primaryClass={cs.CL},
75
- url=,
76
  }
77
 
78
  ```
 
42
 
43
  ## Links
44
  - 📊 [Website and Leaderboard](https://huggingface.co/spaces/jkhouja/lingoly-too)
45
+ - 📎 [Paper](https://arxiv.org/abs/2503.02972)
46
  - 🧩 [Repo](https://github.com/jkhouja/L2)
47
 
48
  ## Summary
49
+ LingOly-TOO (L2) is a challenging linguistics reasoning benchmark designed to counteracts answering without reasoning (e.g. by guessing or memorizing answers).
50
 
51
  ## Dataset format
52
+ LingOly-TOO benchmark was created by generating up to 6 obfuscations per problem for 82 problems source from original LingOly benchmark. Dataset contains over 1200 question answer pairs. Some answers consists of multiple parts.
53
 
54
  ```python
55
  {'question_n': # The question number in the problem
 
65
 
66
  ## Citation
67
  ```
68
+ @article{khouja2025lingolytoodisentanglingmemorisationreasoning,
69
  title={LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation},
70
+ author={Jude Khouja and Karolina Korgul and Simi Hellsten and Lingyi Yang and Vlad Neacs and Harry Mayne and Ryan Kearns and Andrew Bean and Adam Mahdi},
71
  year={2025},
72
+ eprint={2503.02972},
73
  archivePrefix={arXiv},
74
  primaryClass={cs.CL},
75
+ url={https://arxiv.org/abs/2503.02972},
76
  }
77
 
78
  ```