Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
Arabic
Size:
10K - 100K
License:
Update readme
Browse files
README.md
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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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- tafseers: Dictionary mapping Tafseer sources to their text for each Ayah:
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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",
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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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### How to Use
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python
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Copy code
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("quran_tafseer")
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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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