Update README.md

README.md

@@ -73,7 +73,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ### Training Data
 
-The model was trained on the OSCAR Hebrew dataset, a large-scale, open corpus consisting of diverse text collected from the web, reflecting common usage of Hebrew in various contexts.
+The model was trained on the OSCAR Hebrew dataset, a large-scale, open corpus consisting of diverse text collected from the web, reflecting common usage of Hebrew in various contexts. For more details on the dataset, see the citations related to OSCAR below.
 
 ### Training Procedure
 
@@ -116,3 +116,21 @@ If you use this model in your research, please cite it as follows:
   year={2024},
   url={https://huggingface.co/hooking-dev/Hebrew_v1.0}
 }
+
+@article{2022arXiv221210440J,
+  author = {{Jansen}, Tim and {Tong}, Yangling and {Zevallos}, Victoria and {Ortiz Suarez}, Pedro},
+  title = "{Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data}",
+  journal = {arXiv e-prints},
+  year = 2022,
+  month = dec,
+  eid = {arXiv:2212.10440},
+  pages = {arXiv:2212.10440},
+  doi = {10.48550/arXiv.2212.10440},
+  archivePrefix = {arXiv},
+  eprint = {2212.10440},
+  primaryClass = {cs.CL},
+  adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv221210440J},
+  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
+
+}