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Update README.md

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@@ -26,7 +26,8 @@ This dataset card aims to convert the Tamil books available on the Project Madur
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  ## Dataset Details
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  - You can see a table above called "Meta Data", which is just an info table.
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- You can't able to preview the "Source Data" table, due to it is about 300MB.
 
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  - <b>"Project Madurai"</b> was a great initiative in 2008, to make the Tamil Language available to everyone on the internet.<br>
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  - They converted almost <b>1006 books</b> to the format of PDF and HTML pages.<br>
@@ -42,7 +43,7 @@ You can't able to preview the "Source Data" table, due to it is about 300MB.
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  #### Second Table Structure
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  - This Table Contains the Source Data of the Dataset Which Tells the <b>Index</b>, <b>Book_Id</b>[HTML page name],<b>Link</b> of the Book,<b>tamil_text</b> of the book.
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-
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  - In this Table each of the row contains a single book or half of the book[due to one book in different html pages].
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  - The 'tamil_text' column contains more than <b>95% tamil text , and others are romen letters, numberals, english text</b>. While scarpping it the tamil text and english text both in single tag, it can be cleaned in future.
 
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  ## Dataset Details
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  - You can see a table above called "Meta Data", which is just an info table.
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+ <b>You can't able to preview the "Source Data" table</b>, due to it is about 300MB.
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+ [Don't open the Dataset in Excel It will lead to a crash of the OS instead open it using Python in pandas or datasets]
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  - <b>"Project Madurai"</b> was a great initiative in 2008, to make the Tamil Language available to everyone on the internet.<br>
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  - They converted almost <b>1006 books</b> to the format of PDF and HTML pages.<br>
 
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  #### Second Table Structure
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  - This Table Contains the Source Data of the Dataset Which Tells the <b>Index</b>, <b>Book_Id</b>[HTML page name],<b>Link</b> of the Book,<b>tamil_text</b> of the book.
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+ ![Second_table](second_table_img.png)
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  - In this Table each of the row contains a single book or half of the book[due to one book in different html pages].
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  - The 'tamil_text' column contains more than <b>95% tamil text , and others are romen letters, numberals, english text</b>. While scarpping it the tamil text and english text both in single tag, it can be cleaned in future.