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README.md

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 # An Arabic abstractive text summarization model
 A Transformer-based encoder-decoder model which has been trained on a dataset of 384,764 paragraph-summary pairs.
 
-More details on the training of this model will be released later.
+Paper: [Arabic abstractive text summarization using RNN-based and transformer-based architectures](https://www.sciencedirect.com/science/article/abs/pii/S0306457322003284).
+
+Dataset: [link](https://data.mendeley.com/datasets/7kr75c9h24/1).
 
 The model can be used as follows:
 ```python