Update README.md

README.md

@@ -14,7 +14,7 @@ tags:
 - setswana
 ---
 # PuoBertaJW300: A curated Setswana Language Model (trained on PuoData + JW300 Setswana)
-[![Zenodo doi badge](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.8434795-blue.svg)](https://doi.org/10.5281/zenodo.8434795)
+[![Zenodo doi badge](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.8434795-blue.svg)](https://doi.org/10.5281/zenodo.8434795) [![arXiv](https://img.shields.io/badge/arXiv-2310.09141-b31b1b.svg)](https://arxiv.org/abs/2310.09141) 🤗 [https://huggingface.co/dsfsi/PuoBERTa](https://huggingface.co/dsfsi/PuoBERTa)
 
 A Roberta-based language model specially designed for Setswana, using the new PuoData dataset + JW300 corpora.
 
@@ -89,10 +89,15 @@ We used the PuoData dataset, a rich source of Setswana text, ensuring that our m
 Bibtex Refrence
 
 ```
-@article{marivatePuoBERTa2023,
-  title={PuoBERTa: Training and evaluation of a curated language model for Setswana},
-  author={Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
-  journal={ArXiv},
+@inproceedings{marivate2023puoberta,
+  title   = {PuoBERTa: Training and evaluation of a curated language model for Setswana},
+  author  = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
+  year    = {2023},
+  booktitle= {SACAIR 2023 (To Appear)},
+  keywords = {NLP},
+  preprint_url = {https://arxiv.org/abs/2310.09141},
+  dataset_url = {https://github.com/dsfsi/PuoBERTa},
+  software_url = {https://huggingface.co/dsfsi/PuoBERTa}
 }
 ```