Update README.md

README.md

@@ -1,4 +1,16 @@
 ---
+language:
+- en
+license:
+- cc-by-nc-4.0
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- summarization
+task_ids:
+- news-articles-summarization
 dataset_info:
   features:
   - name: text
@@ -36,4 +48,30 @@ dataset_info:
 ---
 # Dataset Card for "news-summary"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Description
+
+- **Homepage:** Kaggle Challenge
+- **Repository:** https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=True.csv
+- **Paper:** N.A.
+- **Leaderboard:** N.A.
+- **Point of Contact:** N.A.
+
+### Dataset Summary
+
+Can you use this data set to make an algorithm able to determine if an article is fake news or not ?
+
+### Languages
+
+english 
+
+### Citation Information
+
+Acknowledgements
+
+Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
+Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138).
+
+### Contributions
+
+Thanks to [@davidberenstein1957](https://github.com/davidberenstein1957) for adding this dataset.