Update README.md

README.md

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-## Dataset Summary
+## Dataset Description
 
 
+- **Homepage:** https://github.com/afrisenti-semeval/afrisent-semeval-2023
+- **Repository:** [GitHub](https://github.com/afrisenti-semeval/afrisent-semeval-2023)
+- **Paper:**  [NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis](https://arxiv.org/pdf/2201.08277.pdf)
+- **Leaderboard:** N/A
+- **Point of Contact:** shamsuddeen2004@gmail.com
+
+
+### Dataset Summary
 
  AfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, and Yoruba). 
  
  The datasets are used in the first Afrocentric SemEval shared task, SemEval 2023 Task 12: Sentiment analysis for African languages (AfriSenti-SemEval). AfriSenti allows the research community to build sentiment analysis systems for various African languages and enables the study of sentiment and contemporary language use in African languages.
 
-**Repository:**
-
-https://github.com/afrisenti-semeval/afrisent-semeval-2023
-
-**Paper:**
-
-[NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis](https://arxiv.org/pdf/2201.08277.pdf)
-
-**Leaderboard:** 
-
-**Point of Contact:**
-  
-
-### Dataset Summary
-
 
 ### Supported Tasks and Leaderboards