Update README.md

README.md

@@ -7,7 +7,7 @@ language:
 
 German FinBERT is a BERT language model focusing on the financial domain within the German language. In my [paper](https://arxiv.org/pdf/2311.08793.pdf), I describe in more detail the steps taken to train the model and show that it outperforms its generic benchmarks for finance specific downstream tasks. 
 
-This model is the [pre-trained from scratch version of German FinBERT](https://huggingface.co/scherrmann/GermanFinBert_SC), after fine-tuning on a translated version of the [financial news phrase bank](https://arxiv.org/abs/1307.5336) of Malo et al. (2013).
+This model is the [pre-trained from scratch version of German FinBERT](https://huggingface.co/scherrmann/GermanFinBert_SC), after fine-tuning on a translated version of the [financial news phrase bank](https://arxiv.org/abs/1307.5336) of Malo et al. (2013). The data is available [here](https://huggingface.co/datasets/scherrmann/financial_phrasebank_75agree_german).
 
 ## Overview  
 **Author** Moritz Scherrmann
@@ -27,7 +27,7 @@ After finding the best model w.r.t the evaluation set, I report the mean result
 
 ### Results
 
-Translated [Financial news phrase bank](https://arxiv.org/abs/1307.5336) (Malo et al. (2013)):
+Translated [Financial news phrase bank](https://arxiv.org/abs/1307.5336) (Malo et al. (2013)), see [here](https://huggingface.co/datasets/scherrmann/financial_phrasebank_75agree_german) for the data:
 - Accuracy: 95.95%
 - Macro F1: 92.70%