[doc] added datasert link

README.md

@@ -21,7 +21,7 @@ This model is trained to predict whether two given messages from some group chat
 It's based on [Conversational RuBERT](https://docs.deeppavlov.ai/en/master/features/models/bert.html) (cased, 12-layer, 768-hidden, 12-heads, 180M parameters) that was trained on several social media datasets. We fine-tuned it with the data from several Telegram chats. The positive `reply_to` examples were obtained by natural user annotation. The negative ones were obtained by shuffling the messages. 
 The task perfectly aligns with the Next Sentence Prediction task, so the fine-tuning was done in that manner. 
 
-It achieves the 0.83 F1 score on the gold test set from our reply recovery dataset.
+It achieves the 0.83 F1 score on the gold test set from our [reply recovery dataset](https://data.mendeley.com/datasets/xm86yszck2).
 
 See the [paper](https://www.dialog-21.ru/media/5871/buyanoviplusetal046.pdf) for more details.