updating hausa readme

README.md

@@ -39,7 +39,7 @@ You can use this model with Transformers *pipeline* for masked token prediction.
 #### Limitations and bias
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. 
 ## Training data
-This model was fine-tuned on [Hausa CC-100] (http://data.statmt.org/cc-100/)
+This model was fine-tuned on [Hausa CC-100](http://data.statmt.org/cc-100/)
 
 ## Training procedure
 This model was trained on a single NVIDIA V100 GPU
@@ -47,9 +47,9 @@ This model was trained on a single NVIDIA V100 GPU
 ## Eval results on Test set (F-score, average over 5 runs)
 Dataset| mBERT F1 | ha_bert F1
 -|-|-
-Hausa GV NER | | 
-MasakhaNER | 86.65 | 
-VOA Hausa Textclass | 84.76 | 90.98 
+[Hausa VOA NER](https://huggingface.co/datasets/hausa_voa_ner) | | 
+[MasakhaNER](https://github.com/masakhane-io/masakhane-ner) | 86.65 | 
+[VOA Hausa Textclass](https://huggingface.co/datasets/hausa_voa_topics) | 84.76 | 90.98 
 
 ### BibTeX entry and citation info
 By David Adelani