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@@ -25,11 +25,9 @@ Language: Arabic
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  Fields:
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  - sura_number: Integer representing the Surah number in the Quran.-
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- - ya_number: Integer representing the Ayah number in the Surah.
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  - tafseers: Dictionary mapping Tafseer sources to their text for each Ayah:
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-
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-
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- tafsirs = {
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  1: "التفسير الميسر",
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  2: "تفسير الجلالين",
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  3:"تفسير ابن كثير",
@@ -37,26 +35,4 @@ tafsirs = {
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  5: "تفسير البغوي",
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  6: "تفسير القرطبي",
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  7: "تفسير الطبري",
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- }
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-
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- ### How to Use
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-
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- python
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- Copy code
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- from datasets import load_dataset
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-
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- # Load the dataset
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- dataset = load_dataset("quran_tafseer")
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-
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- # Access a specific sample
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- sample = dataset['train'][0]
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- Content: The dataset contains religious texts which should be handled with respect and sensitivity.
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- Bias and Fairness: Users of this dataset should be aware of the intrinsic biases in religious texts and interpretations.
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- Data Quality: The quality of the dataset depends on the accuracy of the Tafseers and their translations.
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- Contextual Use: It is recommended to use this dataset in the context of religious studies and NLP research, considering the cultural and religious significance of the content.
 
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  Fields:
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  - sura_number: Integer representing the Surah number in the Quran.-
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+ - Aya_number: Integer representing the Ayah number in the Surah.
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  - tafseers: Dictionary mapping Tafseer sources to their text for each Ayah:
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+ - Tafseer Name :
 
 
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  1: "التفسير الميسر",
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  2: "تفسير الجلالين",
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  3:"تفسير ابن كثير",
 
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  5: "تفسير البغوي",
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  6: "تفسير القرطبي",
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  7: "تفسير الطبري",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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