Update README.md

README.md

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 ![Bart Logo](https://huggingface.co/front/assets/huggingface_logo.svg)
 
 This repository contains the **Bart-Large-paper2slides-summarizer Model**, which has been fine-tuned on the [Automatic Slide Generation from Scientific Papers dataset](https://www.kaggle.com/datasets/andrewmvd/automatic-slide-generation-from-scientific-papers) using unsupervised learning techniques. 
-The model is made available for usage and experimentation through the Hugging Face Model Hub.
+Its primary focus is to summarize **scientific texts** with precision and accuracy.
 
 ## Model Details
 
@@ -23,10 +23,6 @@ The model is made available for usage and experimentation through the Hugging Fa
 
 This particular model, Bart-Large, is the larger version of the Bart model. It consists of 12 encoder and decoder layers and has a total of 400 million parameters.
 
-## Dataset
-
-The model has been fine-tuned on a slide generation dataset. Slide generation involves automatically generating visually appealing and informative slide decks based on input data. The dataset used for fine-tuning this model contains examples of input data along with corresponding slide deck outputs. The fine-tuning process enables the model to learn to generate high-quality slides based on the given input.
-
 ## Usage
 
 To use this model, you can leverage the Hugging Face [Transformers](https://huggingface.co/transformers/) library. Here's an example of how to use it in Python: