Update README.md

README.md

@@ -6,6 +6,8 @@ tags:
 - Calculus
 size_categories:
 - 10K<n<100K
+task_categories:
+- question-answering
 ---
 
 # ASyMOB Dataset Generation
@@ -43,4 +45,18 @@ ASyMOB_Generation.py generates a diverse set of mathematical question variants f
 -   **`Seed_and_Max_Symbolic_Perturbations.csv`:** Modify this CSV to add new seed questions or adjust existing ones.
 -   **`symnoise_char_list`, `symnoise_sym_list`:** Adjust the lists of symbolic characters and their SymPy representations if your questions use different symbols for perturbation (ASyMOB uses 'A', 'B', 'F', 'G', 'H' by default).
 -   **`equivalent_forms_easy`, `equivalent_forms_hard`:** Add or modify the equivalent forms to introduce different types of mathematical equivalences.
--   **`noise_digits` and `reps_num`:** In `generate_NA2S`, you can change `noise_digits` to control the range of random numbers used for numeric perturbations and `reps_num` to control the number of repetitions for each item.
+-   **`noise_digits` and `reps_num`:** In `generate_NA2S`, you can change `noise_digits` to control the range of random numbers used for numeric perturbations and `reps_num` to control the number of repetitions for each item.
+
+## Citation
+If you use ASyMOB in your research, please cite the paper:
+```bibtex
+@misc{ASyMOB,
+      title={Unsupervised Discovery of Formulas for Mathematical Constants}, 
+      author={Michael Shalyt and Uri Seligmann and Itay Beit Halachmi and Ofir David and Rotem Elimelech and Ido Kaminer},
+      year={2024},
+      eprint={2412.16818},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2412.16818}, 
+}
+```