Update README.md

README.md

@@ -10,7 +10,7 @@ pipeline_tag: text-classification
 <!-- Based on  https://huggingface.co/t5-small, model generates SQL from text given table list with "CREATE TABLE" statements. 
 This is a very light weigh model and could be used in multiple analytical applications. -->
 
-Based on  [bert-base-uncased](https://huggingface.co/bert-base-uncased) . This model takes in news summary/news headlines/news article and classifies into one of 40 categories (listed below) . Dataset used to traing this model is from [Kaggle](www.kaggle.com) called [News Category Dataset](https://www.kaggle.com/datasets/rmisra/news-category-dataset) porvided by [ rishabhmisra.github.io/publications]( rishabhmisra.github.io/publications).
+Based on  [bert-base-uncased](https://huggingface.co/bert-base-uncased) . This model takes in news summary/news headlines/news article and classifies into one of 40 categories (listed below) . Dataset used to traing this model is from [Kaggle](www.kaggle.com) called [News Category Dataset](https://www.kaggle.com/datasets/rmisra/news-category-dataset) porvided by [ rishabhmisra.github.io/publications]( rishabhmisra.github.io/publications) (Please cite this datatset when using this model).
 Contact us for more info: support@cloudsummary.com. 
 ### Below are the output labels:
 - arts = 0, arts & culture =1, black voices = 2, business = 3, college = 4, comedy = 5, crime = 6, culture & arts = 7, education = 8, entertainment = 9,environment = 10 
@@ -25,7 +25,7 @@ Contact us for more info: support@cloudsummary.com.
 
 
 
-- **Developed by:** cssupport (support@cloudsummary.com)
+- **Developed by:** CloudSummary (support@cloudsummary.com)
 - **Model type:** Language model
 - **Language(s) (NLP):** English
 - **License:** apache-2.0