diff --git a/pages/students/2021/manohar_gowdru_shridharu/README.md b/pages/students/2021/manohar_gowdru_shridharu/README.md
index 101525d0..be6a6279 100644
--- a/pages/students/2021/manohar_gowdru_shridharu/README.md
+++ b/pages/students/2021/manohar_gowdru_shridharu/README.md
@@ -57,8 +57,18 @@ Resources:
 Tasks:
 
 - Try [this model](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) with your own text.
-- Learn how Transformers Neural Network Works. Learn how Roberta Model works Write a short memo about your findings and papers read on this topic.
+- Learn how Transformers Neural Network Works. Learn how Roberta Model training  works. Learn how BERT model finetuning works. Write a short memo about your findings and papers read on this topic.
+- Pick a dataset: 
+    - https://huggingface.co/datasets/sentiment140 (english)
+    - https://www.clarin.si/repository/xmlui/handle/11356/1054 (multilingua)
+    - https://huggingface.co/datasets/tamilmixsentiment (english tamil code switch)
 - Grab baseline BERT type model and try to finetune it for sentiment classification.
+- For finetuning and evaluation you can use this scrip https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification
+- For finetuning you will need to install CUDA and Pytorch. It can work on CPU or NOT.
+- If you need GPU, use the school server idoc.fei.tuke.sk or google Colab.
+- Continue working on the paper.
+- Remind me about the SCYR conference payment.
+
 
 
 ## Meeting 21.2.22