Datasets:

Charon107
/

Financial_Parameter_From_Moneycontrol

Tasks:

Text2Text Generation

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Charon107 commited on Apr 12

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@@ -24,7 +24,7 @@ Each dataset comprises three attributes: `CompanyName_Year`, `text`, and `label`
 - `label`: This attribute holds the financial parameters extracted from the annual report.
 ## Data Source
-All text data, specifically 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.

 - `label`: This attribute holds the financial parameters extracted from the annual report.
 ## Data Source
+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.