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README.md
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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/).
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## Tokenization
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Initial tests indicate that approximately
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## Purpose
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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.
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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/).
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## Tokenization
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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.
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## Purpose
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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.
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