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  The ATHAR dataset is a comprehensive collection of classical Arabic texts translated into English. This dataset contains approximately 66,000 rows of translated texts, including the original Classical Arabic texts and their English translations.
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- ## Citation
 
 
 
 
 
 
 
 
 
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  ```
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  @misc{khalil2024atharhighqualitydiversedataset,
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  title={ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation},
 
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  The ATHAR dataset is a comprehensive collection of classical Arabic texts translated into English. This dataset contains approximately 66,000 rows of translated texts, including the original Classical Arabic texts and their English translations.
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+ ## 📚 Datasets Summary
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+ The ATHAR dataset is divided into two main subsets: test data and training data.
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+ | Name | Description |
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+ |------------------|-------------------------------------------------------------------------------------------------------------------------|
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+ | `Training Data` | Contains 65,043 rows of classical Arabic texts and their English translations, used for training translation models. |
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+ | `Test Data` | Contains 1,000 rows of classical Arabic texts and their English translations, reserved for evaluating model performance.|
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+ ## 📋 Dataset Structure
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+ Each entry in the dataset is represented by a row with the following fields:
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+ | Field | Description |
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+ |-----------|-------------------------------------------------------------------------------------------------------------|
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+ | `Arabic(str)` | The original text in classical Arabic. |
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+ | `English(str)` | The English translation of the classical Arabic text. |
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+ ## Citation
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  ```
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  @misc{khalil2024atharhighqualitydiversedataset,
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  title={ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation},