Update README.md

README.md

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 ### Dataset Summary
 
   The American Stories dataset is a collection of full article texts extracted from historical U.S. newspaper images. It includes nearly 20 million scans from the public domain Chronicling America collection maintained by the Library of Congress. The dataset is designed to address the challenges posed by complex layouts and low OCR quality in existing newspaper datasets.
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-  The dataset was created using a novel deep learning pipeline that incorporates layout detection, legibility classification, custom OCR, and association of article texts spanning multiple bounding boxes. It employs efficient architectures specifically designed for mobile phones to ensure high scalability.
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-  The American Stories dataset offers high-quality data that can be utilized for various purposes. It can be used to pre-train large language models and improve their understanding of historical English and world knowledge. The dataset can also be integrated into retrieval-augmented language models, making historical information more accessible, including interpretations of political events and details about people's ancestors.
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+  It was created using a novel deep learning pipeline that incorporates layout detection, legibility classification, custom OCR, and the association of article texts spanning multiple bounding boxes. It employs efficient architectures specifically designed for mobile phones to ensure high scalability.
+  The dataset offers high-quality data that can be utilized for various purposes. It can be used to pre-train large language models and improve their understanding of historical English and world knowledge. 
+  The dataset can also be integrated into retrieval-augmented language models, making historical information more accessible, including interpretations of political events and details about people's ancestors.
   Additionally, the structured article texts in the dataset enable the use of transformer-based methods for applications such as detecting reproduced content. This significantly enhances accuracy compared to relying solely on existing OCR techniques.
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   The American Stories dataset serves as an invaluable resource for developing multimodal layout analysis models and other multimodal applications. Its vast size and silver quality make it ideal for innovation and research in this domain.
 
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 ### Languages
 
 English (en)
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 The raw data on this repo contains compressed chunks of newspaper scans for each year. Each scan has it's own JSON file named as the {scan_id}.json. 
 The data loading script takes care of the downloading, extraction and parsing to outputs of two kinds : 
 
-+ Article Level Output : The unit of the Dataset Dict is an associated article  
-+ Scan Level Output : The unit of the Dataset Dict is an entire scan with all the raw unparsed data
++ Article-Level Output: The unit of the Dataset Dict is an associated article  
++ Scan Level Output: The unit of the Dataset Dict is an entire scan with all the raw unparsed data
 
 ### Data Instances
 Here are some examples of how the output looks like.