Contributions

app.py

@@ -19,7 +19,8 @@ We trained three general-purpose flax-sentence-embeddings models: a **distilrobe
 The models were trained on a dataset comprising of [1 Billion+ training corpus](https://huggingface.co/flax-sentence-embeddings/all_datasets_v4_MiniLM-L6#training-data) with the v3 setup.
 
 In addition, we trained [20 models](https://huggingface.co/flax-sentence-embeddings) focused on general-purpose, QuestionAnswering and Code search.
-You can view our models [here](https://huggingface.co/flax-sentence-embeddings)
+We also uploaded [8 datasets](https://huggingface.co/flax-sentence-embeddings) specialized for Question Answering, Sentence-Similiarity and Gender Evaluation.
+You can view our models and datasets [here](https://huggingface.co/flax-sentence-embeddings).
 
 ## Contributions