Update README.md

README.md

@@ -18,6 +18,15 @@ FLANG is a set of large language models for Financial LANGuage tasks. These mode
 ## FLANG-Roberta
 FLANG-Roberta is a pre-trained language model which uses financial keywords and phrases for preferential masking of domain specific terms. It is built by further training the RoBerta language model in the finance domain with improved performance over previous models due to the use of domain knowledge and vocabulary.
 
+## FLUE
+FLUE (Financial Language Understanding Evaluation) is a comprehensive and heterogeneous benchmark that has been built from 5 diverse financial domain specific datasets.
+
+Sentiment Classification: [Financial PhraseBank](https://huggingface.co/datasets/financial_phrasebank)\
+Sentiment Analysis, Question Answering: [FiQA 2018](https://huggingface.co/datasets/SALT-NLP/FLUE-FiQA)\
+New Headlines Classification: [Headlines](https://www.kaggle.com/datasets/daittan/gold-commodity-news-and-dimensions)\
+Named Entity Recognition: [NER](https://huggingface.co/datasets/SALT-NLP/FLUE-NER)\
+Structure Boundary Detection: [FinSBD3](https://huggingface.co/datasets/SALT-NLP/FLUE-SBD)
+
 ## Citation
 Please cite the model with the following citation:
 ```bibtex