Update README.md

README.md

@@ -118,5 +118,17 @@ If you are interested in related datasets (or models), check out the MU-NLPC org
 
 ## Cite
 
-If you use this version of dataset in research, please cite the original [SVAMP paper](https://www.semanticscholar.org/paper/Are-NLP-Models-really-able-to-Solve-Simple-Math-Patel-Bhattamishra/13c4e5a6122f3fa2663f63e49537091da6532f35).
-TODO
+If you use this version of dataset in research, please cite the original [SVAMP paper](https://www.semanticscholar.org/paper/Are-NLP-Models-really-able-to-Solve-Simple-Math-Patel-Bhattamishra/13c4e5a6122f3fa2663f63e49537091da6532f35) and [Calc-X collection](https://arxiv.org/abs/2305.15017) as follows:
+
+```bibtex
+@inproceedings{kadlcik-etal-2023-soft,
+    title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
+    author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
+    booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
+    month = december,
+    year = "2023",
+    address = "Singapore, Singapore",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/2305.15017",
+}
+```