Update README.md

README.md

@@ -27,7 +27,7 @@ Each dataset comprises three attributes: `CompanyName_Year`, `text`, and `label`
 The annual reports, originates from [NSE (National Stock Exchange of India)](https://www.nseindia.com/), where it is downloaded.Report have undergone pre-processing to eliminate stop words and special symbols, enhancing both clarity and efficiency in model training. The labels for the data, which consist of detailed financial data, are derived from [Moneycontrol](https://www.moneycontrol.com/).
 
 ## Tokenization
-Initial tests indicate that approximately 98,304 tokens (16384*6) are necessary to tokenize a complete annual report, rendering this database both extensive and comprehensive for deep learning applications in financial text analysis.
+Initial tests indicate that approximately 524288 tokens (16384*32) are necessary to tokenize a complete annual report, rendering this database both extensive and comprehensive for deep learning applications in financial text analysis.
 
 ## Purpose
 This database forms a part of the ongoing project hosted on [GitHub - charon107/FYP](https://github.com/charon107/FYP), which aims to develop robust models capable of understanding and generating insights from detailed financial reports.