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README.md

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 # Financial Parameter Database Overview
 
 ## Overview
-The Financial Parameter Database includes financial statements and parameters from 992 companies over the past five years（2019-2023）, totaling 4,960 datasets. The training set contains 3,968 datasets, while the test set comprises 992 datasets. This database is specifically crafted to aid in training text-to-text generation NLP models that focus on analyzing financial reports.
+The Financial Parameter Database includes financial statements and parameters from 992 companies over the past five years (2019-2023), totaling 4,960 datasets. The training set contains 3,968 datasets, while the test set comprises 992 datasets. This database is specifically crafted to aid in training text-to-text generation NLP models that focus on analyzing financial reports.
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+Information on the 992 companies featured in this database can be found in the `Companies_List.csv` file, available [here](https://huggingface.co/datasets/Charon107/Financial_Parameter_From_Moneycontrol/blob/main/Companies_List/Companies_List.csv).
 
 ## Data Description
 Each dataset encompasses a company's annual report. The labels for each dataset consist of specific financial parameters derived from these documents. These financial parameters include, but are not limited to, Equity and Liabilities, Assets, Income, Expenses, and various financial ratios such as Earnings Per Share (EPS), Price-to-Earnings (P/E) ratio, and liquidity ratios.