Update README.md

README.md

@@ -6,8 +6,11 @@ Welcome to the COVID-19 Misinformation Detector!
 
 There is a lot of misinformation related to the COVID-19 vaccine being posted online from unreliable sources. The COVID-19 Misinformation Detector allows you to check if the information you are reading online (e.g. from Twitter or Facebook) contains misinformation or not!
 
-Enter the text from the online post in the "Hosted inference API" text area to the right to check if it is misinformation. "LABEL_0" means that no misinformation was detected in the post, while "LABEL_1" means that the post is misinformation. 
+Enter the text from the online post in the "Hosted inference API" text area to the right to check if it is misinformation. "LABEL_0" means that no misinformation was detected in the post, while "LABEL_1" means that the post is misinformation.
 
-The COVID-19 Misinformation Detector is a modified version of the "bert-base-uncased" transformer model, found [here](https://huggingface.co/bert-base-uncased). It is fine-tuned on two datasets containing tweets relating to the COVID-19 pandemic; thoustweet is labelled as containing misinformation (1) or not (0), as verified by healthcare experts. 
+The COVID-19 Misinformation Detector is a modified version of the "bert-base-uncased" transformer model, found [here](https://huggingface.co/bert-base-uncased). It is fine-tuned on two datasets containing tweets relating to the COVID-19 pandemic; each tweet is labelled as containing misinformation (1) or not (0), as verified by healthcare experts.
+The datasets used are:
+1. [ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection](https://www.sciencedirect.com/science/article/pii/S0033350621004534)
+2. [CoAID (Covid-19 HeAlthcare mIsinformation Dataset)](https://arxiv.org/abs/2006.00885)
 
-For a more detailed explanation, check out the technical report [here](https://drive.google.com/file/d/1QW9D6TN4KXX6poa6Q5L6FVgqaDQ4DxY9/view?usp=sharing), and check out my literature review on transformers [here](https://drive.google.com/file/d/1d5tK3sUwYM1WBheOuNG9A7ZYri2zxdyw/view?usp=sharing).
+For a more detailed explanation, check out the technical report [here](https://drive.google.com/file/d/1QW9D6TN4KXX6poa6Q5L6FVgqaDQ4DxY9/view?usp=sharing), and check out my literature review on transformers [here](https://drive.google.com/file/d/1d5tK3sUwYM1WBheOuNG9A7ZYri2zxdyw/view?usp=sharing)!