Update README.md

README.md

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 ### Summary
 
-- The raw data is collected through web-scrapping Subreddits and is cleaned using multiple NLP techniques.
-- The data is only in English. It mainly targets mental health classification.
-- Extracted from Kaggle: https://www.kaggle.com/datasets/infamouscoder/depression-reddit-cleaned
+- The dataset provided is a Depression: Reddit Dataset (Cleaned) containing approximately 7,000 labeled instances. It consists of two main features: 'clean_text' and 'is_depression'. The 'clean_text' feature contains the text data from Reddit posts related to depression, while the 'is_depression' feature indicates whether a post is classified as depression or not.
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+- The raw data for this dataset was collected by web scraping Subreddits. To ensure the data's quality and usefulness, multiple natural language processing (NLP) techniques were applied to clean the data. The dataset exclusively consists of English-language posts, and its primary purpose is to facilitate mental health classification tasks.
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+- This dataset can be employed in various natural language processing tasks related to depression, such as sentiment analysis, topic modeling, text classification, or any other NLP task that requires labeled data pertaining to depression from Reddit.