Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+Medium Article Dataset For Extractive Text Summarization
+Author
+Vaibhav Gulati, Deepika Kumar
+(Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi 110063, India)
+
+Contact
+Contact using the following email: gulvaibhav20@gmail.com
+
+Subject
+Engineering
+
+Description
+The dataset contains 75 articles that belongs to a variety of different categories including technology, science, business, nature and entertainment etc. These articles were published on the Medium website in 2018 and were extracted using web scraping tools and techniques. The dataset contains the textual content of the articles along with information about the publication date, sub-title, author, word count, etc. In addition to this, the dataset contains human generated summaries of all the 75 articles, where the length of each summary is about one-fifth of the length of the original Medium article.
+
+Dataset Parameters	Values
+Number of Articles (Instances)	75
+Categories	25
+Average number of sentences per article	89.5
+Maximum number of sentences per article	229
+Minimum number of sentences per article	30
+File Description
+Dataset.csv - This file contains the whole Medium article dataset having the attributes:
+
+Attribute	Information
+Title	Title of the article
+Sub_Title	Sub-title of the article
+Text	The textual content of the article
+Word_Count	Number of Words present in article
+Category	Genre of the article
+Author	Author of the article
+URL	Medium link for the article
+Human Generated Summary	Human generated extractive summary of the article
+Dataset Usage
+The dataset can be used for the evaluation of the Extractive Text Summarization process. The summary of the articles generated by the extractive text summarizer model can be compared with the Human Generated Summary provided in the dataset.