Update README.md

README.md

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 This is the pretrained model presented in [SecBERT: A Pretrained Language Model for Cyber Security Text](https://github.com/jackaduma/SecBERT/), which is a SecRoBERTa model trained on cyber security text.
 
-The training corpus was papers taken from [APTnotes](https://github.com/kbandla/APTnotes),  [Stucco-Data: Cyber security data sources](https://stucco.github.io/data/), 
- [CASIE: Extracting Cybersecurity Event Information from Text](https://ebiquity.umbc.edu/_file_directory_/papers/943.pdf),  [SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)](https://competitions.codalab.org/competitions/17262). 
+The training corpus was papers taken from 
+ * [APTnotes](https://github.com/kbandla/APTnotes)
+ * [Stucco-Data: Cyber security data sources](https://stucco.github.io/data/)
+ * [CASIE: Extracting Cybersecurity Event Information from Text](https://ebiquity.umbc.edu/_file_directory_/papers/943.pdf)
+ * [SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)](https://competitions.codalab.org/competitions/17262). 
 
 SecRoBERTa has its own wordpiece vocabulary (secvocab) that's built to best match the training corpus. We trained [BERT](https://huggingface.co/jackaduma/SecBERT) and [SecRoBERTa](https://huggingface.co/jackaduma/SecRoBERTa) versions.