added readme

README.md

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 ### Dataset Summary
-Turkish sentiment analysis dataset from customer reviews about supplemen and vitamin products. This dataset is scraped from Vitaminler.com.
-This is a Turkish NLU dataset that contains customer reviews and star rating about vitamin and supplement products.
-The dataset includes 1,052 products of 262 distinct brands with 244K customer reviews. During the compilation, we eliminated reviews containing person names such as customer's name and influencer names
+Turkish sentiment analysis dataset from customer reviews about supplement and vitamin products. The dataset is scraped from Vitaminler.com and contains
+customer reviews and star rating about vitamin and supplement products.
+
+Each customer review in the Vitamins and Supplements Reviews Dataset describes a customer’s experience with a supplement product in terms of the product’s effectiveness,
+side effects, taste and smell, as well as comments on supplement usage frequency and dosage, active ingredients, brand, and similar products by other brands. The reviews
+also include pointers to customers’ health history and indications how the supplements helped in resolving customers’ health problems.
+
+Considering the characteristics of the data, our Vitamins and Supplements Reviews Dataset lies at the intersection of customer review data and healthcare NLP data. We hope
+to offer a finely compiled medical NLP dataset for Turkish NLU.
 
 
 ### Dataset Instances
+The dataset includes 1,052 products of 262 distinct brands with 244K customer reviews. During the compilation, we eliminated reviews containing person names such as customer's name and influencer names
 Each dataset instance contains 
 
 - product name