Update README.md

README.md

@@ -30,16 +30,6 @@ We used 36 GB of text data to train the model. The used corpus has the following
 | Total sentences    | 181,447,732 (about 181.45 million)   |
 | Total documents    | 17,516,890 (about 17.52 million)     |
 
-The raw crawled text is pre-processed in several steps to produce the final 36 GB of data. The pre-processing contains the following steps:
-
-  - Normalization of text  
-  - Cleaning text Text cleaning removes URLs, HTML tags, emojis, and multiple spaces.  
-  - Splitting the text into sentences  
-  - Removing sentences with fewer than 3 words or more than 50 words.  
-  - Removing sentences containing any non-Bangla characters.  
-  - Deduplicating the corpus at the document level.  
-  - Ensuring each text file contains one sentence per line, with each document separated by a blank line.  
-
 
 ## Model Details