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README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+---
+
+# ARACOVID19-SSD: ARABIC COVID-19 SENTIMENT AND SARCASM DETECTION DATASET
+
+## Description
+
+AraCOVID19-SSD is a manually annotated Arabic COVID-19 sarcasm and sentiment detection dataset containing 5,162 tweets. The **labels** used in the dataset are the following:
+
+<div>
+    <img src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F904283%2Fd463ee4c63a9ad484036a60a30807d8f%2Flabels.JPG?generation=1759523079401255&alt=media" alt="AraCOVID19-SSD Sarcasm and Sentiment Labels">
+</div>
+
+---
+
+## Examples
+
+Examples of the instances from the dataset are provided in the below Table:
+
+<div>
+    <img src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F904283%2F1baa73df13f820a0e9131e2a9e6c4c47%2Fexamples.JPG?generation=1759523100398116&alt=media" alt="Example tweets and their annotations from AraCOVID19-SSD">
+</div>
+
+---
+
+## Statistics
+
+The statistics **for** the dataset are provided in the below Table:
+
+<div>
+    <img src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F904283%2F4b8d4e74985d39a374a86fe4ad63abc8%2FstatsJPG.JPG?generation=1759523117721681&alt=media" alt="Statistical distribution of Sarcasm and Sentiment labels">
+</div>
+
+## Citations
+If you want to use the dataset please cite the following arXiv paper:
+
+
+```
+@article{ameur2021aracovid19,
+  title={Aracovid19-ssd: Arabic covid-19 sentiment and sarcasm detection dataset},
+  author={Ameur, Mohamed Seghir Hadj and Aliane, Hassina},
+  journal={arXiv preprint arXiv:2110.01948},
+  year={2021}
+}
+```
+
+## Contacts:
+For all questions please contact ``mohamedhadjameur@gmail.com`` 
+
+