Update README.md

README.md

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 ### Dataset Description
 
-This repository includes two datasets that offer an ideal ground for evaluating product matching algorithms and clustering/classification models.
-All datasets contain e-commerce data; that is, product IDs, their titles, and their corresponding category. However, they can easily be applied to
+This repository offers an ideal ground for evaluating product matching algorithms and clustering/classification models.
+The dataset contains e-commerce data; that is, product IDs, their titles, and their corresponding category. However, they can easily be applied to
 any problem which involves text/short-text mining.
 
-The data originates from real product comparison platforms. It has been collected by a special focused Web crawler which has been developed for
-this purpose. The first dataset was collected from PriceRunner, a popular product comparison platform. It includes 35,311 products from 10 categories,
-provided by 306 different vendors. The second dataset was acquired by crawling the products of 12 categories of Skroutz. It includes 238,170 products
-supplied by 652 electronic stores.
+The data originates from PriceRunner, a popular product comparison platform. It includes 35,311 products from 10 categories,
+provided by 306 different vendors. It has been collected by a special focused Web crawler which has been developed for this purpose.
 
 - **Curated by:** Leonidas Akritidis
 - **Language(s) (NLP):** English
@@ -32,7 +30,7 @@ Electronic stores, Product comparison platforms, Price comparison applications,
 
 ## Dataset Structure
 
-Each file comprises 7 columns:
+The CSV file comprises 7 columns:
 
 1. Product ID: The ID of the product
 2. Product Title: The title of the product, as it was provided by the vendor/e-shop.