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