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README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+---
+# ANETAC: Arabic Named Entity Transliteration and Classification Dataset
+
+## Description
+
+ANETAC our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79,924 instances, each instance is a triplet (e, a, c), where e is the English named entity, a is its Arabic transliteration and c is its class that can be either a Person, a Location, or an Organization. The ANETAC dataset is mainly aimed for the researchers that are working on Arabic named entity transliteration, but it can also be used for named entity classification purposes. 
+
+
+---
+
+
+## Statistics
+
+The statistics **for** the dataset are provided in the below Table:
+
+
+
+
+
+
+![ANETAC stats](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F904283%2F2854f55145369d6206c6e8aa2c6437fd%2FANETAC_stats.JPG?generation=1759738683660789&alt=media)
+
+
+
+![ANETAC stats 2](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F904283%2Ff237f0313c7a80faa9733f2fe9deafd8%2FANETAC_stats2.JPG?generation=1759738732742398&alt=media)
+
+
+## Citations
+If you want to use the dataset please cite the following arXiv paper:
+
+
+```
+@article{ameur2019anetac,
+  title={Anetac: Arabic named entity transliteration and classification dataset},
+  author={Ameur, Mohamed Seghir Hadj and Meziane, Farid and Guessoum, Ahmed},
+  journal={arXiv preprint arXiv:1907.03110},
+  year={2019}
+}
+```
+
+## Contacts:
+For all questions please contact ``mohamedhadjameur@gmail.com`` 
+