Update README.md

README.md

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 license: mit
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+#### New Summarization and NER
 
-#### New Summarization & NER
+News summarization uses "facebook/bart-base" that is fine-tuned using TensorFlow for summarization using 
+<a href = "https://www.kaggle.com/datasets/gowrishankarp/newspaper-text-summarization-cnn-dailymail" target="_blank">CNN news articles</a> dataset.<br><br>
+NER uses "microsoft/deberta-base" that is fine-tuned using TensorFlow for token classification (NER) using this 
+<a href="https://www.kaggle.com/datasets/saurabhprajapat/named-entity-recognition" target="_blank">dataset</a>.<br>The fine-tuning dataset contains annotated sentences.<br>
+During inference, the input text is split into sentences using Spacy and entities are identified in each sentence.<br>
 
-News summarization and NER application that uses "facebook/bart-base" that is fine-tuned using TensorFlow for summarization
-and "microsoft/deberta-base" that is fine-tuned using TensorFlow for token classification (NER).
-
-The notebook to fine-tune "facebook/bart-base" on CNN news summarization can be found <a href="https://github.com/ksv-muralidhar/hugging_face_tf_fine_tuning/blob/main/bart_en_summarization.ipynb">here</a><br>
-The notebook to fine-tune "microsoft/deberta-base" can be found <a href="https://github.com/ksv-muralidhar/hugging_face_tf_fine_tuning/blob/main/ner_deberta.ipynb">here</a>
+The notebook to fine-tune "facebook/bart-base" for news summarization can be found <a href="https://github.com/ksv-muralidhar/hugging_face_tf_fine_tuning/blob/main/bart_en_summarization.ipynb">here</a>.<br>
+The notebook to fine-tune "microsoft/deberta-base" for NER can be found <a href="https://github.com/ksv-muralidhar/hugging_face_tf_fine_tuning/blob/main/ner_deberta.ipynb">here</a>.