Update README.md

README.md

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 ---
 license: cc-by-nc-sa-4.0
+task_categories:
+- text-classification
+language:
+- tr
+tags:
+- text classification
+- event detection
+- topic detection
+- tweets
+- social media
+- topic classification
+size_categories:
+- n<1K
 ---
+
+# Turkish Event Detection Tweet Dataset: BilTweetNews
+
+The dataset contains tweets related to six major events from Turkish news sources between May 4, 2015
+and Jan 8, 2017. 
+
+There are 7 event classes:
+
+- E1: May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015
+Turkish Super League.
+- E2: Sep 6, 2015 A terrorist group, called PKK, attacked to soldiers in Dağlıca, a village in
+southeastern Turkey. 
+- E3: Oct 7, 2015 A Turkish scientist, Aziz Sancar, won the 2015 Nobel Chemistry prize with
+his studies on DNA repair.
+- E4: May 27, 2016 A local football club of Alanya promoted to the Turkish Super League for
+the first time in their history.
+- E5: Jun 17, 2016 A traditional anthem that is mostly played by secularists in Turkey, called
+the 10th Year Anthem, was forbidden in schools by the director of national
+education in the Black Sea province of Bolu. 
+- E6: Oct 17, 2016 A magazine programmer confused that Madonna in a Fur Coat, a book written
+in 1943 by a Turkish celebrated writer, Sabahattin Ali, was about popstar
+Madonna’s life. The book tells a story between a Turkish student and German
+singer after the World War I.
+- Other: Not related to any news topic 
+
+For each event, 100 related-candidate and 60 unrelated-candidate tweets are selected. Lastly, we randomly select 40 tweets that are potentially not related at all, 5 of them are
+removed due to detecting near-duplicates later. The dataset has 995 tweets in total. 
+
+The task of this dataset is event detection. The sentiment analysis labels can be found at https://huggingface.co/datasets/ctoraman/BilTweetNews-Sentiment
+
+All tweets are labeled by 17 annotators. We provide the normalized distribution of annotations across 7 event classes. We also provide the majority class at the last column. There are no cases where multiple classes have the highest score.
+
+Github Repo: https://github.com/BilkentInformationRetrievalGroup/BilTweetNews2017
+
+# If you would like to use any material in this repository, please cite the following papers:
+- Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017.
+
+- Toraman, C. Event-related microblog retrieval in Turkish. Turkish Journal of Electrical Engineering and Computer Sciences. 2021. DOI: 10.3906/elk-2108-167
+****