Update README.md

README.md

@@ -2,5 +2,20 @@
 license: mit
 ---
 
+# Dataset Description
 Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacakge](https://github.com/guma44/ushuffle)) was then used to shuffle these protein sequences while maintaining their doublet distribution. The very few sequences for which uShuffle failed to create a shuffled version were eliminated.
 Afterwards, h-CD-HIT algorithm ([web server](http://weizhong-lab.ucsd.edu/cdhit-web-server/cgi-bin/index.cgi)) was used with three subsequent filter stages at pairwise identity cutoffs of 0.9, 0.5 and 0.1, resulting in a total of **11,658** sequences.
+
+# Citation
+If you use this dataset, please cite our paper:
+```
+@article {
+	author = {Geffen, Yaron and Ofran, Yanay and Unger, Ron},
+	title = {DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts},
+	year = {2022},
+	doi = {10.1101/2022.05.09.491157},
+	URL = {https://www.biorxiv.org/content/early/2022/05/10/2022.05.09.491157},
+	eprint = {https://www.biorxiv.org/content/early/2022/05/10/2022.05.09.491157.full.pdf},
+	journal = {bioRxiv}
+}
+```